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Journal articles on the topic 'Oranges'
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1
Sitoda Syahadi, Fadhil, and Osni Erza. "ANALYSIS OF LOCAL ORANGES COMPETITIVENESS AGAINST IMPORTED ORANGES: COMMUNITY PERCEPTIONS IN DKI JAKARTA." PENANOMICS: International Journal of Economics 2, no. 1 (May 2, 2023): 112–28. http://dx.doi.org/10.56107/penanomics.v2i1.116.
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This study aims to analyze the competitiveness of local oranges fruits and imported oranges fruits: community perceptions in DKI Jakarta using the LISREL 8.80 and SPSS 25 processing tools, followed by a SWOT analysis. The variable used is a latent variable, namely the Competitiveness of Local Oranges against Imported oranges, Community Social Status, Quality of Oranges, and Price of Oranges. The data comes from surveys through questionnaires that are distributed to people in DKI Jakarta who consume local orange fruits and imported oranges fruits. The results of the study showed that the social status of respondents occupied in determining local orange fruit was 3.98% greater, compared to buying imported oranges was as much as 3.90%. , While buying imported oranges is 3.92. From the many opinions of respondents, the price of oranges in traditional markets is cheaper. Respondents choose local oranges at 3.94, compared to imported oranges are 3.79. Then the SWOT is its strength, namely that many people buy local oranges with recommendations from family, friends, and other people, and many people like the local oranges because the prices are very affordable, the weakness is that many of them still choose their imported oranges to buy. like, and also because the skin of the fruit is very beautiful and the sweetest. The opportunity is that local orange fruit traders have the opportunity to market their local oranges fruit as usual because many people want it, and the disadvantage is that some people still look at their orange peel because they think that when they see a good orange peel it means that the oranges are very sweet and fresh to consume, which is shown in imported oranges fruits.
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Anggreani, Nita, and Siti Anisah. "ANALISIS KADAR GLUKOSA JERUK LOKAL PROVINSI BENGKULU MENGGUNAKAN METODE LUFF SCHOORL." Jurnal Kesehatan Tambusai 2, no. 4 (December 31, 2021): 343–47. http://dx.doi.org/10.31004/jkt.v2i4.3192.
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People in Bengkulu Province generally consume 3 (three) types of oranges, namely Kalamansi Oranges, Gerga Oranges, and Brastagi Oranges. Orange Gerga is a local variety originating from Bengkulu Province, to be precise from Rimbo Pengadang District, Rejang Lebong Regency. While Kalamansi Oranges and Brastagi Oranges are citrus varieties originating from outside the region that has been widely planted by people in Bengkulu. The sweet taste of these three oranges is different which indicates the difference in the sugar content in them. This study aims to analyze the glucose content in the three oranges. The analysis method uses the Luff Schoorl method according to SNI 01-2891-1992. The sampling technique used was purposive sampling. Each sample of orange juice as much as 5 grams was analyzed up to three times. The results showed that the highest glucose levels were in Kalamansi Oranges (0.58%), Brastagi Oranges (0.48%) and the lowest was Gerga Oranges (0.44%).
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Vipriyanti, Nyoman Utari, I. Ketut Arnawa, and Anita Anul. "Karakteristik dan Faktor-Faktor yang Mempengaruhi Keputusan Konsumen dalam Pembelian Buah Jeruk Lokal dan Impor di Denpasar Bali." JIA (Jurnal Ilmiah Agribisnis) : Jurnal Agribisnis dan Ilmu Sosial Ekonomi Pertanian 8, no. 5 (October 26, 2023): 392–400. http://dx.doi.org/10.37149/jia.v8i5.644.
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Recently, imported oranges have dominated Bali's local market, leading to low demand for local oranges because both oranges have different tastes, colors, and sizes. Research about the demand rate of local oranges in traditional markets is abundant. However, analysis that compares local and imported oranges' characteristics and supermarket consumer preferences is still lacking. This study aimed to determine (1) consumer preferences for the attributes of local and imported oranges in supermarkets in Denpasar City and (2) Factors that affected consumer decisions in buying local and imported oranges. The location of this study was determined purposively at four modern markets in Denpasar City with 100 respondents. The results showed that (1) Most consumers of oranges (68 percent) in the contemporary market are women, with 79 percent preferring to buy local oranges and only 21 percent preferring to buy imported oranges. In contrast, male consumers prefer imported oranges (69 percent), and only 31 percent prefer local oranges. This illustrates that female consumers tend to buy household needs and play a more significant role in making purchasing decisions for daily needs, including the demand for fruit. Consumers who bought oranges fruits were dominated by women, with a majority of the productive age range between 20 and 30 years (38%). Cumulative preference showed that local oranges were in the strongly like category. At the same time, imported oranges were in the neutral type only. (2) The attributes of local orange and imported oranges, such as taste, color, and texture, significantly influence consumer decisions in buying local and imported oranges. This study only emphasizes five attributes of orange without considering household income, ethnicity, and culture inside the model.
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MARTÍNEZ-GONZÁLES, N. E., C. MARTÍNEZ-CÁRDENAS, L. MARTÍNEZ-CHÁVEZ, N. E. RAMOS-PÉREZ, T. M. TAYLOR, C. C. ULLOA-FRANCO, and A. CASTILLO. "Effect of the Use of a Neutralizing Step after Antimicrobial Application on Microbial Counts during Challenge Studies for Orange Disinfection." Journal of Food Protection 76, no. 2 (February 1, 2013): 328–32. http://dx.doi.org/10.4315/0362-028x.jfp-12-275.
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The effects of using a neutralizer after applying antimicrobial treatments and the effect of time lapse between treatment application and subsequent recovery and enumeration of Escherichia coli O157:H7 and Salmonella were investigated in Valencia oranges. Inoculated oranges surfaces were washed with distilled water for 15 s and then sprayed with a solution containing 200 mg/liter sodium hypochlorite (pH 6.5) for 15 s; they were then dipped in L-lactic acid (2.0% at 55°C) for 1 min or in distilled water at 80°C for 1 min. Posttreatment, oranges were divided into two groups. In the first group, oranges were dipped in neutralization treatment: 270 ml of buffered peptone water for 2 min for lactic acid–treated oranges, 270 ml of Dey-Engley broth for 2 min for chlorine-treated oranges, or 3.7 liters of tap water (25°C) for 10 s for hot water–treated oranges. The second group of treated oranges was not subjected to any neutralizer. All oranges then were kept at room temperature (average 26.2°C) and sampled at 0, 7.5, and 15 min for enumeration of surviving Salmonella and E. coli O157:H7. The orange surface (30 cm2) was excised for pathogen enumeration. The presence of free chlorine and changes in pH and temperature on the orange surface were determined in uninoculated, treated oranges. Free chlorine was detected on oranges after treatment; the change in temperature of orange surfaces was greater during treatment with hot water than with lactic acid. Nevertheless, pathogen enumeration did not show any impact of neutralizer use on the residual activity of antimicrobials or any impact of the time elapsed between antimicrobial treatment and recovery of bacterial pathogens from inoculated oranges (P ≥ 0.05). The results of this study indicate that the lack of a neutralizing step before enumeration of pathogens is not likely to affect the accuracy of results during challenge studies to test pathogen reduction strategies on oranges.
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Sofyan, Rudy, Nurzainah Ginting, Zuhrina Masythah, and Junita Setiana Ginting. "Optimizing Rejected Oranges into Multipurpose Products in Seribu Jandi Village." ABDIMAS TALENTA: Jurnal Pengabdian Kepada Masyarakat 8, no. 1 (February 15, 2023): 80–87. http://dx.doi.org/10.32734/abdimastalenta.v8i1.9714.
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One of the programs in the 8th Sustainable Development Goals (SDGs) is "Supporting inclusive and sustainable economic growth, full and productive employment, and decent work for all", with the target of achieving higher levels of economic productivity through certification, technological quality improvement, and innovation. Seribu Jandi Village, located in Simalungun Regency, is a center for orange producers. However, some of the oranges produced are categorized as rejected oranges. The main problems faced by orange farming communities in this village are the high volume of rejected oranges and their lack of understanding of processing rejected oranges. As a result, the rejected oranges are only thrown away which pollute the environment. Therefore, it is necessary to take corrective actions by processing rejected oranges into multipurpose products, such as biocatalysts, biodisinfectants, and floor cleaning fluids. Biocatalysts can be used to optimize the absorption of soil elements by orange plants, which certainly will maximize the use of fertilizers. Biodisinfectants are more recommended to be used than chemical disinfectants because chemical disinfectants have side effects that can cause irritation to human skin. Cleaning liquid can be used instead of chemical cleaning fluid, which also has an impact on the environment. In relation to this problem, it is necessary to carry out a series of activities that will greatly help the orange farming community in Seribu Jandi Village. The activities to be carried out are conducting training and counseling on the utilization of rejected oranges into multipurpose products.
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EBLEN, B. SHAWN, MARK O. WALDERHAUG, SHARON EDELSON-MAMMEL, STUART J. CHIRTEL, ANTONIO DE JESUS, ROBERT I. MERKER, ROBERT L. BUCHANAN, and ARTHUR J. MILLER. "Potential for Internalization, Growth, and Survival of Salmonella and Escherichia coli O157:H7 in Oranges." Journal of Food Protection 67, no. 8 (August 1, 2004): 1578–84. http://dx.doi.org/10.4315/0362-028x-67.8.1578.
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Internalization potential, survival, and growth of human pathogens within oranges were investigated in a series of laboratory experiments. Submerging oranges into dye solutions at various temperature differentials was used to assess internalization potential. Conditions in which dye internalization was observed were further studied by applying Escherichia coli O157: H7 or Salmonella onto the stem scar, subjecting the oranges to a temperature differential, juicing, and measuring numbers of pathogens in the resulting juice. Pathogens for growth and survival studies were applied to or injected into simulated peel punctures. Oranges with small peel holes of selected sizes were also placed into solutions containing these pathogens. Bacterial survival was also evaluated in orange juice at 4 and 24°C. Oranges internalized pathogens at a frequency of 2.5 to 3.0%, which mirrored dye internalization frequency (3.3%). Pathogens were internalized at an uptake level of 0.1 to 0.01% of the challenge applied. Bacteria grew within oranges at 24°C, but not at 4°C. Thirty-one percent of oranges with 0.91-mm surface holes showed pathogen uptake, whereas 2% of oranges with 0.68-mm holes showed pathogen uptake. Pathogens added to fresh orange juice and incubated at 24°C declined 1 log CFU/ml within 3 days. These results suggest that internalization, survival, and growth of human bacterial pathogens can occur within oranges intended for producing unpasteurized juice.
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Riftyan, Emma, Yusmarini Yusmarini, Vonny Setiaries Johan, Shanti Fitriani, Edo Saputra, and Yossie Kharisma Dewi. "Pengolahan Jeruk Siam dan Nanas menjadi produk bernilai jual tinggi di Desa Pulau Jambu, Kampar." Unri Conference Series: Community Engagement 3 (March 14, 2022): 616–21. http://dx.doi.org/10.31258/unricsce.3.616-621.
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The potential of Pulau Jambu in the agricultural aspect, especially Siamese oranges, is a potential in itself. The majority of the work of people in Pulau Jambu, Kuok District as Siamese orange farmers and the abundance of Siamese oranges in Pulau Jambu are one of the reasons for the purpose of this community service. The problem faced by Siamese orange farmers is they have lack of knowledge and skills in processing Siamese oranges so that the harvested Siamese oranges so far are only sold in fresh, not in processed. The method implemented in this community service activity is by providing guidance and training from the production aspect and the business management aspect. The training provided is processing Siamese oranges in the form of jam and drinks with the addition of pineapple which is also a local potential of Kampar Regency.
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MARTÍNEZ-GONZALES, N. E., A. HERNÁNDEZ-HERRERA, L. MARTÍNEZ-CHÁVEZ, M. O. RODRÍGUEZ-GARCÍA, M. R. TORRES-VITELA, L. MOTA de la GARZA, and A. CASTILLO. "Spread of Bacterial Pathogens during Preparation of Freshly Squeezed Orange Juice." Journal of Food Protection 66, no. 8 (August 1, 2003): 1490–94. http://dx.doi.org/10.4315/0362-028x-66.8.1490.
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To study the potential of three bacterial pathogens to cross-contaminate orange juice during extraction, normal operation conditions during juice preparation at food service establishments were simulated. The spread of Salmonella enterica serovar Typhimurium, Escherichia coli O157:H7, and Listeria monocytogenes from inoculated oranges to work surfaces and to the final product was determined. The transference of these three bacterial pathogens to orange juice made from uninoculated oranges with the use of contaminated utensils was also studied. Fresh oranges were inoculated with a marker strain of rifampicin-resistant Salmonella Typhimurium, E. coli O157:H7, or L. monocytogenes. Final pathogen levels in juice were compared as a function of the use of electric or mechanical juice extractors to squeeze orange juice from inoculated oranges. Pathogen populations on different contact surfaces during orange juice extraction were determined on sulfite-phenol red-rifampicin plates for Salmonella Typhimurium and E. coli O157:H7 and on tryptic soy agar supplemented with 0.1 g of rifampicin per liter for L. monocytogenes. After inoculation, the average pathogen counts for the orange rind surface were 2.3 log10 CFU/cm2 for Salmonella Typhimurium, 3.6 log10 CFU/cm2 for E. coli O157:H7, and 4.4 log10 CFU/cm2 for L. monocytogenes. This contamination was spread over all utensils used in orange juice squeezing. Mean pathogen counts for the cutting board, the knife, and the extractor ranged from −0.3 to 2.1 log10 CFU/cm2, and the juice contained 1.0 log10 CFU of Salmonella Typhimurium per ml, 2.3 log10 CFU of E. coli O157:H7 per ml, and 2.7 log10 CFU of L. monocytogenes per ml. Contact with contaminated surfaces resulted in the presence of all pathogens in orange juice made from uninoculated oranges. These results give emphasis to the importance of fresh oranges as a source of pathogens in orange juice.
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Rahayuningsih, Jumriana, Vivi Sisca, and Eliyarti Eliyarti. "ANALISIS VITAMIN C PADA BUAH JERUK PASAMAN UNTUK MENINGKATKAN IMUNITAS TUBUH PADA MASA PANDEMI." Journal of Research and Education Chemistry 4, no. 1 (May 26, 2022): 29. http://dx.doi.org/10.25299/jrec.2022.vol4(1).9363.
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Vitamin C is the best antioxidant known to have benefits to boost immunity. One of the fruits that contain vitamin C is the Pasaman orange. Pasaman orange is a fruit that is a flowering plant with members of the Citrus clan from the Rutaceae tribe (orange-orange tribe). Pasaman oranges were analyzed for their vitamin C content in order to increase the community's immunity during the covid-19 pandemic. The method used is a laboratory experiment with the iodometric method. The result is that Pasaman oranges contain high levels of vitamin C, with the average vitamin C levels in the Pasaman oranges being 10.22%, 11.18% and 10.38% respectively, while the average vitamin C levels in the Pasaman oranges were 10.59%. And during this pandemic, we should consume a lot of food and fruit with vitamin C to increase the body's immunity, so that it can be developed to the next stage of further and more effective research.
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Saputra, Edo, Emma Riftyan, Yossie Kharisma Dewi, and Anthony Hamzah. "Pemberdayaan masyarakat melalui pembuatan Selai Jeruk Kuok di Dusun Pulau Belimbing, Desa Kuok, Kec. Kuok, Kab. Kampar." Unri Conference Series: Community Engagement 2 (December 30, 2020): 269–74. http://dx.doi.org/10.31258/unricsce.2.269-274.
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Kuok Village is one of the villages in the Kuok sub-district which has an area of 6000 hectares. The population in this village is 8352 people. The majority of the population in the Kuok village works as farmers. One of the commodities that cultivated by farmers is the orange orchard. Oranges in this village are still managed in fresh form and have not been made into a by-product. Hence, the Unri Community Service Team diversified its oranges derivative products, namely marmalade. The purpose of this community service is to solve the decay of oranges during the harvest season by processing oranges into marmalade that can increase community income. The methods used are survey, socialization and training. The process of making this jam begins with peeling the oranges, then all that is taken is the oranges flesh then mashed, then boiled the orange juice until it boils, then added sugar and put it in until the temperature is 105ºC, then the jam is placed in a jar.
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Journal, Baghdad Science. "Recovery of pure Hesperidin from Iraqi Sweet Oranges Peel and study the effect in some bacteria." Baghdad Science Journal 11, no. 2 (June 1, 2014): 455–60. http://dx.doi.org/10.21123/bsj.11.2.455-460.
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Citrus fruit contain variety of flavonoids such as Hesperidin (the principal flavonoid in oranges and grapefruit). Hesperidin is found in high concentration in fruit peel of oranges and in substantially lower concentration in juice of these fruits. Hesperidin was extracted from oranges peel by treating the peels with calcium hydroxide. HPLC technique was used to determine hesperidin. Hesperidin was saperated and purified in a purity of about 90.1-95.7% and yield about 1.5 %w/w from oranges peel dry powder. Both hesperidin and oranges peel extract showed significan antibacterial activity. Sensitivity to hesperidin and oranges peel extracts were not similar for the chosen bacteriaCrude orange peel extract gave a various antimicrobial activity agents Gram-positive Bacillus cereus, Staphylococcus aurous, Streptococcus pyogenus sp. and Gram-negative (Escherichia coli, Salmonella typhi) bacteria strains`. The minimum inhibitory concentration (MIC) values against these bacteria ranged from 45-175?g/disc.for crude orange peel extractand 175-450?g/disc for pure hesperidin In comparison to 30?g/disc reference standards ciproflaxacin and impinme.orange peel extract showed significant antimicrobial activity.
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Rifiana, Rifiana, and Hamdani Hamdani. "The Utilization of Rice Straw for Increase Orange Productivity and Reducing Environmental Pollution." TROPICAL WETLAND JOURNAL 6, no. 1 (July 30, 2020): 17–23. http://dx.doi.org/10.20527/twj.v6i1.78.
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Siam Banjar oranges was one of the leading commodities in South Kalimantan with an area 2,594 ha, 113,-149 tons of production and 43.72 ha-1 of productivity (Department of Agriculture South Kalimantan, 2006 in www.kalselprov.go.id/). The development of Siam Banjar oranges in South Kalimantan was overflow in Barito Kuala and Banjar District. The level of responsiveness plants for fertilization encourages farmers to apply high inorganic fertilizers. If it is applied continuously and without return organic matter into the soil, it will produce the reduced soil fertility in terms of chemical, physical, and biological soil. This research showed the effect of the use of straw in increasing the production of Siam Banjar oranges. First, they completely decomposed so that increasing soil fertility. Second, reduce environmental pollution because it did not leave residues as inorganic fertilizers. Third, prevent soil erosion so that nutrients needed by oranges for grow properly could be fulfilled optimally. So, oranges did not easily attacked by pests and diseases then provide abundant harvest. The results of the differences between two values could be concluded that, the benefits of orange farming was produced with straw was greater than farming without straw. Revenue Cost Ratio (RCR) value of orange farming with straw was 3.56 and the Revenue Cost Ratio (RCR) value of orange farming without straw was 3.26. Based on the RCR value, orange farming with straw was more feasible than orange farming without a straw.
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Varina, Firna, Sri Harimurti, Rusnani Rusnani, Mirnaini Mirnaini, and Muhamad Nasir. "Efficiency of Using Production Factors in Siam Oranges Farming." International Conference On Research And Development (ICORAD) 1, no. 2 (December 19, 2022): 110–15. http://dx.doi.org/10.47841/icorad.v1i2.33.
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This research's objective aims to determine the factors of production that influence siam oranges production and to analyze the efficiency of production factors on siam orange farming in Batang Hari Regency. In this research, a restriction was conducted on the analysis of the factors that affect the production of siam oranges, that productive trees, organic fertilizer, chemical fertilizers, pesticides, and labor. The research was conducted in Senaning Village, Pemayung District and Pompa Air Village, Bajubang District. The selection of the study sites was purposive sampling and deliberately determined on the basis those villages were production areas of siam oranges in Batang Hari Regency. The functional form of production function was the Cobb-Douglas model and to see the level of efficiency of using production factors on siam oranges farming used allocative efficiency analysis. Based on the results of this study factors of organic fertilizers and labor significantly affect siam oranges production. Generally, siam oranges production was relatively responsive to the number of production factors used. The use of factors production i.e. productive trees, organic fertilizer, and chemical fertilizers were relatively efficient but the pesticide and labor variable was not. There were productivity differences between siam orange farming in Senaning Village and Pompa Air Village. Government and societies should concern a suitable agroecological and skilled farmers to develop a new area production of siam oranges in Batang Hari Regency.
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Jayati, Ria Dwi, Nur Fitriyana, Lucy Asri Purwasi, and Linna Fitriani. "PELATIHAN PEMBUATAN DAN PEMASARAN OLAHAN JERUK SORTIR MENJADI DODOL, MANISAN DAN TEH DI DESA KARANG JAYA KECAMATAN SELUPU REJANG." JURNAL CEMERLANG : Pengabdian pada Masyarakat 5, no. 2 (June 15, 2023): 212–21. http://dx.doi.org/10.31540/jpm.v5i2.1903.
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This community service (PKM) aims to provide training to local residents in the manufacture and marketing of processed sorting oranges into dodol, sweets, and tea. Sortir oranges are a type of orange that has good quality and the price is relatively cheaper than ordinary oranges. Therefore, the processing of sorted oranges into value-added processed products such as dodol, sweets and tea can increase the economic value for local residents. This service was carried out in Karang Jaya Village, Selupu Rejang District. After being implemented, this PKM succeeded in providing benefits to the surrounding community. The procedures that have been carried out use the method of observation, socialization, training and continued with direct practice. Local residents who have participated in the training have succeeded in producing quality sorted orange processed products and successfully marketing them effectively. This can be seen from the increase in the income of local residents and the increase in consumer buying interest in processed orange sorting products. The outputs of the activity are (1) the partners' knowledge, skills and income increase, (2) produce sorted orange processed products in the form of dodol, sweets and tea. Thus, training in the manufacture and marketing of processed sorted oranges into dodol, sweets and tea has a positive impact on increasing the income, knowledge and skills of the local community. This is expected to provide long-term benefits for the community and strengthen the local economy.
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Serna-Escolano, Vicente, María Gutiérrez-Pozo, Alicia Dobón-Suárez, Pedro J. Zapata, and María José Giménez. "Effect of Preharvest Treatments with Sodium Bicarbonate and Potassium Silicate in Navel and Valencia Oranges to Control Fungal Decay and Maintain Quality Traits during Cold Storage." Agronomy 13, no. 12 (November 28, 2023): 2925. http://dx.doi.org/10.3390/agronomy13122925.
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The quality of sweet orange (Citrus sinensis L.) is determined by the presence of decay caused by phytopathogenic fungi. This can develop in the field and rapidly spread among oranges during postharvest storage. Currently, the conventional treatments applied to control this problem are chemical fungicides. However, consumers demand eco-friendly and non-polluting alternatives with low chemical residues. Therefore, the aim of this work is the preharvest application of sodium bicarbonate (SB) and potassium silicate (PS) solutions at 0.1 and 1% to Navel and Valencia oranges to elucidate the effect on fruit quality and fungal decay at harvest and after 42 days of storage at 8 °C. Results showed that oranges treated with SB 0.1%, PS 0.1, and PS 1% maintained quality traits at similar levels to the control ones. However, SB 1% reduced firmness and increased weight loss, respiration rate, maturity index, and citrus color index. The total carotenoid content significantly increased in oranges treated with SB 1%, and no differences were observed in the other treatments compared to the control. Total antioxidant activity and total phenolic content decreased in oranges treated with SB at 0.1 and 1%, contrary to the results observed in oranges treated with PS, where both parameters increased. Regarding fungal decay, the best results were obtained in oranges treated with the highest doses of SB and PS. Therefore, the use of SB and PS in preharvest sprays could be an alternative to control fungal decay without affecting orange quality.
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Omomowo, Iyabo O., Afeez A. Adedayo, Olawale I. Omomowo, Olusola N. Majolagbe, and Adijat F. Ogundola. "PRELIMINARY STUDY ON POTENTIAL EDIBLE COATINGS DERIVED FROM CARBOXYL METHYLCELLULOSE AND FUNGI CULTURED METABOLITES ON THE SHELF-LIFE EXTENSION OF SWEET-ORANGE (CITRUS SINENSIS)." Journal of Experimental Biology and Agricultural Sciences 9, no. 5 (October 30, 2021): 663–71. http://dx.doi.org/10.18006/2021.9(5).663.671.
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This study focused on assessing the potential of formulated edible coatings derived from a metabolite of Trichoderma viride and Penicillium chrysogenum, combined with carboxyl methylcellulose (CMC) on the postharvest storage quality of orange fruits. The cultured metabolite of fungal bioagents combined with CMC, as well as glycerol (plasticizer), inadequate solution ratio based on wettability, was evaluated for microbiological quality and shelf-life extension of sweet orange. Thereafter, ascorbic acid, total soluble solids, pH, percentage weight loss, among other parameters were assessed for 7 weeks. The results of the study revealed that the pH of CMC + Trichoderma viride and CMC + P. chrysogenum coatings had 3.8 ± 0.02 and 3.17 ± 0.06 respectively, while it was reported 2.90 ± 0.04 for uncoated treatment. Also, the ascorbic acid and total soluble solids of the edible coated oranges were higher than the control. In addition, the percentage of weight loss was higher in the uncoated control compared to the potential edible coated oranges. Further, the microbial load count of the potential edible-coated oranges was less compared to the un-coated oranges. In conclusion, this formulated potential edible coating could be further improved upon and optimized for use in prolonging the storage of sweet oranges.
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Nur Alya Rahmah. "ANALISIS FORECASTING PENJUALAN GUNA MEMINIMALISIR KERUGIAN AKIBAT KEKURANGAN STOK MENGGUNAKAN METODE MOVA DAN WMA (STUDI KASUS PADA TOTAL BUAH SEGAR CABANG CIKARANG PENJUALAN JERUK WOKAM)." Jurnal Ekonomi STIEP 8, no. 2 (November 29, 2023): 190–97. http://dx.doi.org/10.54526/jes.v8i2.155.
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In Indonesia, citrus fruits occupy the second level, which is the most consumed fruit with an average of 12.57 grams/capita/day. Lately the type of orange that is popular in Indonesia is wokam orange. Wokam oranges are citrus fruits imported from China. This type of orange can only be found in large fruit stores or supermarkets. Total Buah Segar is a large fruit shop that has several branches, one of which is Total Buah Segar Cikarang branch. Total Buah Segar Cikarang branch sells a variety of quality fruits, one of which is the popular wokam orange. Of course, its popularity can also cause problems in terms of stock inventory, namely there is often a shortage of wokam orange stock in Total Buah Segar Cikarang branch. Therefore, the management of Total Buah Segar Cikarang branch needs a sales forecast in order to determine the supply of wokam oranges in order to meet consumer demand. The method used in this study is a quantitative descriptive method. The calculation of forecasting the sales of wokam oranges uses the MOVA and WMA methods. Precise forecasting results are obtained, namely the WMA method from determining the smallest MAD, MSE, and MAPE values. So that Total Buah Segar Cikarang branch can consider the results of forecasting to make decisions regarding the supply of wokam oranges in the future.
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Eugene Adenya Ashiagbor and Aba Akebi Atta-Eyison. "Determination of ascorbic acid levels in oranges under different storage conditions using Redox Iodometric method." World Journal of Advanced Research and Reviews 22, no. 1 (April 30, 2024): 1169–79. http://dx.doi.org/10.30574/wjarr.2024.22.1.1165.
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Ascorbic acid is one of the most important vitamins to the human body due to its potentially protective role as an antioxidant. Oranges by far the most important citrus species are an excellent source of ascorbic acid. The ascorbic acid in three varieties of Ghanaian local oranges was estimated after storage under four different storage conditions. The storage conditions were deep freezing, dark cupboard, open shelf and in the sun. The redox titrimetric method using potassium iodide as the titrant and starch as an indicator was employed to evaluate the ascorbic acid levels in the orange samples after two, four and six days. The result shows a decrease in the ascorbic acid content of oranges over the storage periods. The decrease was expressed as a percentage loss of ascorbic acid originally in oranges. Less ascorbic acid was lost with the refrigerated orange samples compared to the other storage conditions. A huge loss of ascorbic acid was however lost with the samples that were exposed to the sun.
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Ni, M., K. Gu, B. Hassan, D. Ning, Y. Zheng, Y. Qi, and Y. Xu. "Effect of oviposition by Bactrocera dorsalis on the antioxidant activity of orange juice." Brazilian Journal of Biology 80, no. 3 (September 2020): 641–47. http://dx.doi.org/10.1590/1519-6984.218661.
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Abstract Among fruits and fruit products, oranges and orange juice are the most widely consumed worldwide. However, the effects of pest infestation of oranges on the quality of orange juice are not yet known. To evaluate the effect of the oriental fruit fly Bactrocera dorsalis on the antioxidant activity of orange juice, we measured changes in the vitamin C (Vc) concentration, total phenol content, and antioxidant activity of orange juice after the introduction of fruit fly eggs. Ten days after the eggs were introduced (larvae removed), the concentration of Vc in orange juice was 18.65 µg/mL, which was 9.16 µg/mL lower than that measured in healthy orange juice. In addition, the total phenol content decreased by 46.519 mg Gallic Acid Equivalents (GAE)/g to 9.748 mg GAE/g. Furthermore, the free-radical scavenging activity decreased from 22.297% to 5.393%. Correlation analysis indicated significant correlations between Vc concentration, total phenol content, and antioxidant activity of orange juice after B. dorsalis infestation. The decrease in Vc concentration, total phenol content and free-radical scavenging activity indicated that B. dorsalis changed the quality of orange juice by affecting the antioxidant activity of the juice after the oranges were infested.
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Pan, Zhi Bin, and Xiao Yan Wei. "Computer Vision Based Orange Grading Using SVM." Applied Mechanics and Materials 303-306 (February 2013): 1134–38. http://dx.doi.org/10.4028/www.scientific.net/amm.303-306.1134.
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Fruit grading is very important for promoting its additional value. We graded oranges based on its images. Four photos were taken from different view angles for each orange. Both RGB and HSI color model were utilized. We extracted a 28-dimensional feature which can describe the size and color of them. Then support vector machine was used to grade these oranges into four levels. Experimental result shows SVM has promising performance for orange grading.
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Gay, S. H., and W. L. Nieuwoudt. "Influences of the free trade agreement between South Africa and the European Union on the South African fresh orange industry." South African Journal of Economic and Management Sciences 3, no. 3 (September 30, 2000): 484–98. http://dx.doi.org/10.4102/sajems.v3i3.2626.
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This paper evaluates the effects of the Free Trade Agreement (FTA) between South Africa and the European Union (EU) on the South African orange industry. Oranges account for ten percent of South African agricultural exports. The aggregate trade simulation model used here is designed on the programme STELLA, and consists of regional production models, a local market model, an export model and an exchange rate model. Results indicate that the FTA is expected to have small positive effects on both South African producers and consumers. This is caused by increasing real free-on-board prices and decreasing real local prices of oranges. Total area under oranges will increase more with the FT A, which thus results in a larger orange production too.
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Bai, Jinhe, Elizabeth Baldwin, Jack Hearn, Randy Driggers, and Ed Stover. "Volatile and Nonvolatile Flavor Chemical Evaluation of USDA Orange–Mandarin Hybrids for Comparison to Sweet Orange and Mandarin Fruit." Journal of the American Society for Horticultural Science 141, no. 4 (July 2016): 339–50. http://dx.doi.org/10.21273/jashs.141.4.339.
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Three citrus hybrids, containing 50% to 75% sweet orange (Citrus sinensis) genome in their pedigrees and similar to sweet orange in fruit size, color, and taste, were tested for their potential to be classified as new “sweet orange” cultivars. ‘Hamlin’, ‘Midsweet’, and three other early to midseason sweet oranges, along with ‘Dancy’ tangerine (Citrus reticulata), a typical mandarin, were used for comparison. Fruit were picked on 23 Jan. 2014, 30 Dec. 2014, and 27 Jan. 2015. A total of 114 volatiles were detected and separated into seven groups by detection frequency: three groups with 43 volatile components did not show differences and thus contributed little information for classification of sweet orange vs. mandarin, and the remaining four groups with 71 volatiles contributed to distinctions between orange and mandarin. Among the hybrids, the pattern of volatile detection frequency for hybrid FF-1-74-52 was virtually identical to sweet orange, and cluster analysis agreed with the classification. The number of average peaks were 55 to 62 in sweet oranges, 67 in FF-1-74-52, and 17 to 37 in tangerine and other hybrids. Quantity analysis of individual volatiles and chemical classes indicated that FF-1-74-52 and sweet oranges were rich in total volatile abundance, and almost all chemical classes including mono and sesquiterpenes, aldehydes, alcohols, ketones, and esters. This was especially true for ethyl butanoate, which contributes a fruity top note, and valencene and all sesquiterpene hydrocarbons, which only contribute to citrus flavor indirectly through their contribution to headspace partitioning. Two other hybrids, FF-1-75-55 and FF-1-76-51, each had some similarity to sweet oranges in several chemicals and classes, but not in the overall volatile profile. All three sweet orange–like hybrids met the standards for mandarins and oranges in soluble solids content, titratable acidity (TA), and the ratio. The above volatile and nonvolatile flavor chemical profile comparisons strongly support a proposal to classify FF-1-74-52 as a “sweet orange” commercially, and all three hybrids were previously shown to be more similar to sweet orange in their volatile profile than is ‘Ambersweet’. ‘Ambersweet’ was a hybrid that was legally classified as a “sweet orange” in 1995 based on its volatile profile.
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Kurzer, Amalie B., Rose Bechtel, and Jean-Xavier Guinard. "Adult and Child Focus Group Views of Oranges and Mandarins." HortTechnology 29, no. 4 (August 2019): 408–16. http://dx.doi.org/10.21273/horttech04320-19.
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To identify factors that may reduce mandarin (Citrus reticulata) and orange (Citrus sinensis) consumer acceptance and to acquire information on current consumer thoughts and perceptions, a series of eight focus groups were held in a college town in northern California: four with children and four with adults. Adults mentioned cost proportionately more (P ≤ 0.05) often than children, as well as farm to fork, purchasing preferences, and seasonality. Children mentioned eating preferences, social use, and healthiness more often (P ≤ 0.05). Flavor and taste were important to both age groups, as well as ease of peeling. Both ages viewed oranges as slightly too large and messier than mandarins. Adults felt frustration that oranges and mandarins lack flavor and that quality is not consistent. Many indicated they would be willing to pay more for consistent quality. Children reported relying on availability, appearance, and the basic tastes to guide their choices and did not express a clear preference between mandarins and oranges. Development of a fruit intermediate in size between an orange and a mandarin, either a small orange or a large mandarin, would potentially satisfy an untapped area of the market. Other potential areas of consumer interest are in fruits with edible peels, like kumquats (Citrus japonica) and in more unique, identifiable varieties such as Cara Cara oranges.
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Giménez-Sanchis, Adrián, Kui Zhong, Aurora Pintor, Vittorio Farina, and Cristina Besada. "Understanding Blood versus Blond Orange Consumption: A Cross-Cultural Study in Four Countries." Foods 11, no. 17 (September 2, 2022): 2686. http://dx.doi.org/10.3390/foods11172686.
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Understanding consumer perceptions and attitudes to specific fruit is key information for not only increasing fruit consumption, but also for marketing reasons. It may also give clues to breeders to set quality objectives. This study explores different aspects that help to explain blood vs. blond orange consumption: availability and consumption habit, satisfaction attributes, facilitators and consumption barriers, consumption contexts, expectations and purchase intention. The study was conducted in China, Mexico, Spain and Italy, where citrus fruit consumers were invited to respond an online questionnaire. Our results revealed Italy as the country with the highest availability and consumption of blood oranges, followed by China, Mexico and Spain. “Liking” and “healthy properties” were the most important reasons for consumption irrespectively of orange type, but certain differences among countries were detected in secondary reasons. In all the countries, “juicy” was the most relevant attribute for consumer satisfaction, followed by flavour/taste attributes. “Aromatic” and “unfibrous” were substantial requirements for Italians and Chinese, while Spaniards attached importance to the blood oranges colour. Regarding consumption contexts, “eat with salt or chilly powder” was specific for Mexico, while “to improve health”, “as a gift” or “at a restaurant” were contexts mainly cited in China. Despite taste preferences for other fruit being the main consumption barrier in all the countries for both orange types, the relevance of other barriers depended on culture and orange type. Mexican participants seemed to take a more neophobic attitude to blood oranges, while “inconvenient” was reported as a barrier for consuming blond ones in Spain and China. We conclude that blond and blood oranges can co-exist on markets at a high consumption rate, as in Italy. Specific interventions are needed in other countries because consumer attitudes to oranges, mainly blood ones, depend on culture.
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Amadi-Ikpa, C.N. and Dimkpa, F. B. "Microbial Contamination of Peeled Oranges Sold Along Roadsides in Rumuolumeni, Port Harcourt, Rivers State, Nigeria." European Journal of Geography, Regional Planning and Development 1, no. 1 (April 1, 2023): 26–28. http://dx.doi.org/10.61796/jgrpd.v1i1.14.
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Microbial contamination of peeled oranges for sale were investigated vis-à-vis the microbial air quality at the points of sale. Sixty (60) oranges were purchased from high, low and less vehicular /human traffic sales points and analyzed using standard microbiological procedures. Analysis involved the spread plate and plate exposure techniques. Results of the analysis showed that the mean total microbial (bacteria and fungi) load on the surface of peeled oranges at the points of sale were: 1.0 x 104, 1.4 x 104, 1.4 x 104cfu/ml for less, low, and high human and vehicular movement sales points respectively, which showed no significant difference existed at (P>0.05) the points of sale. Basically, the microbial counts of 1.5 x 103, 2.7 x 103, 1.8 x 103 and 6.4 x 103cfu/ml were obtained for Escherichia coli, Staphylococcus aureus, Salmonella and heterotrophic bacteria respectively on the peeled orange surfaces, which showed a significant difference (P > 0.05) exist within the microbes. Pearson’s correlation coefficient showed 33% and 55% for bacterial and fungal spores on the peeled orange surfaces respectively, were dependent on time. A total of 29 microbial isolates belonging to five species (Escherichia, Staphylococcus, Salmonella, Candida and Aspergillus) were identified. The result showed that the outer surfaces of peeled oranges were contaminated with microbes of medical importance irrespective of the points of sale. Escherichia coli, Salmonella and Staphylococcus aureus counts satisfied the set limit of bacteria in ready-to-eat foods. However, the presence of these bacteria is an indicator of poor sanitary practices of orange vendors and polluted air quality at the sales point. Hence, orange vendors should receive appropriate training in hygiene matters that are in line with their work ethics and they should cover the peeled oranges displayed for sale.
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Tuwo, Mustika, Tutik Kuswinanti, Andi Nasruddin, and Elis Tambaru. "Estimating the Genetic Diversity of Oranges Citrus spp. in South Sulawesi, Indonesia, Using RAPD Markers." Scientifica 2023 (November 8, 2023): 1–12. http://dx.doi.org/10.1155/2023/6676038.
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Oranges hold significant economic importance, being cultivated extensively worldwide and having a large global market. Indonesia, ranked eighth globally as a producer of oranges, is one of the countries with high genetic diversity of oranges. This diversity is distributed across various regions of Indonesia, including South Sulawesi. Despite the advancements in DNA-based molecular marker techniques for assessing genetic diversity, information on orange diversity in South Sulawesi is currently unavailable and under-researched. In this study, random amplified polymorphic DNA (RAPD) markers were utilized to analyze the genetic diversity of oranges in five production centers in South Sulawesi. Leaf samples of 13 orange varieties were collected from the five production centers: Pangkep, Sidrap, Bantaeng, North Luwu, and Selayar in South Sulawesi, Indonesia. Genomic DNA extraction from the orange leaves followed the protocol of the DNA Mini Kit Geneaid. DNA amplification was carried out using the RAPD method with 14 primers: OPE-04, OPH-04, OPH-15, OPN-14, OPN-16, OPR-08, OPR-20, OPW-06, OPW-09, OPX-07, OPX-11, OPX-17, UBC-18, and UBC-51. The RAPD primers yielded 109 amplified fragments ranging in size from 200 to 2000 base pairs (bp), and all RAPD primers showed 100% polymorphism. The genetic diversity value (He) of oranges in South Sulawesi was moderate (0.236). Cluster analysis based on a similarity coefficient of 77% divided the 175 orange genotypes into five groups. The most closely related genotypes were SB6 and SB7, exhibiting 100% similarity, followed by genotypes JS8 and JS9 and JS13 and JS17, with genetic similarities exceeding 99% for each pair. Genotypes P9 and SI5 displayed the highest genetic distance, with a similarity coefficient of 57%. The dendrogram diagram can serve as a basis for selecting desired plant traits in the improvement of plant characteristics through both conventional breeding and genetic engineering activities.
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Kurniawati, Emi, Ade Galuh Rakhmadevi, Putu Tessa Fadhila, and Syarifatul Lailah. "Determination of physical properties of siamese oranges (Citrus nobilis var. Microcarpa): sphericity, roundness, volume, and density." Journal of Agritechnology and Food Processing 3, no. 2 (December 31, 2023): 67. http://dx.doi.org/10.31764/jafp.v3i2.20423.
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Siamese oranges are a member of the tangerines which have the scientific name Citrus nobilis var.Microcarpa. It is called Siamese orange because it comes from Siam (Muangthai). The quality of Siamese oranges is determined by their physical properties. These physical properties include size, weight, volume and diameter. Post-harvest technology for Siamese oranges can be done by grading to obtain quality Siamese oranges according to standards. This research aims to determine the physical properties of Siamese oranges used in the grading process. Determination of sphericity and roundness is measured using a caliper. Determination of volume and density is measured using a beaker. Analysis of research data used a one-way z-test normal distribution to the left. The results of data analysis show that the z-count value of roundness, roundness, volume and density is 1.05; 0.79; 0.55; 0.53 and -ztable of -1.645. This means zcount ≥ -ztable, where the average value of the physical properties of Siamese oranges is greater than or equal to the research object, roundness is 0.92, roundness is 0.93, volume is 87 cm3 and density is 1.02 g/ cm3. Thus, the results of these physical properties can be used as a reference when grading Siamese oranges code size 2.
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Yanto, Budi, Luth Fimawahib, Asep Supriyanto, B. Herawan Hayadi, and Rinanda Rizki Pratama. "Klasifikasi Tekstur Kematangan Buah Jeruk Manis Berdasarkan Tingkat Kecerahan Warna dengan Metode Deep Learning Convolutional Neural Network." INOVTEK Polbeng - Seri Informatika 6, no. 2 (November 27, 2021): 259. http://dx.doi.org/10.35314/isi.v6i2.2104.
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Sweet orange is very much consumed by humans because oranges are rich in vitamin C, sweet oranges can be consumed directly to drink. The classification carried out to determine proper (good) and unfit (rotten) oranges still uses manual methods, This classification has several weaknesses, namely the existence of human visual limitations, is influenced by the psychological condition of the observations and takes a long time. One of the classification methods for sweet orange fruit with a computerized system the Convolutional Neural Network (CNN) is algorithm deep learning to the development of the Multilayer Perceptron (MLP) with 100 datasets of sweet orange images, the classification accuracy rate was 97.5184%. the classification was carried out, the result was 67.8221%. Testing of 10 citrus fruit images divided into 5 good citrus images and 5 rotten citrus images at 96% for training 92% for testing which were considered to have been able to classify the appropriateness of sweet orange fruit very well. The graph of the results of the accuracy testing is 0.92 or 92%. This result is quite good, for the RGB histogram display the orange image is good
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Denata, Irvan, Tedy Rismawan, and Ikhwan Ruslianto. "Implementation of Deep Learning for Classification Type of Orange Using The Method Convolutional Neural Network." Telematika 18, no. 3 (October 31, 2021): 297. http://dx.doi.org/10.31315/telematika.v18i3.5541.
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Orange is a type of fruit that is easily found in Sambas Regency. The types that are widely sold are Siam oranges, madu susu and susu. Each type of orange has a different quality and a different price. The price difference often results in fraud committed by traders against buyers to the detriment of the buyer. This is because differentiating types of oranges based on the appearance of the fruit does not have a standard. Therefore, in this study, a citrus fruit classification system was created based on images by implementing deep learning. The method of deep learning used in this research is Convolutional Neural Network (CNN) with AlexNet architecture. The types of oranges that will be observed are madu oranges, madu susu, and siam. The data used are 2250 images of oranges with each class totaling 750 images with a size of 227x227 pixels. The training data is 1575 images and the test data is 675 images. The training is carried out with a total of 10 epochs and each epoch will produce a model. System testing is carried out based on the model generated in the training process. Each model will be observed results in the form of accuracy which is calculated using a confusion matrix. The most optimal model was generated from training in epoch the 9th which resulted in an accuracy of 94.81%.
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Hadia, Imelda, Ramon Syahrial, Siti Alimah, and Dwiyana Anella Kurniasari. "STRATEGI PEMASARAN BERDASAR PADA SEGMENTASI DANPREFERENSI KONSUMEN TERHADAP JERUK LOKAL SERTA JERUK IMPOR." AGRIWITAS (Agribisnis Wijaya Putra Surabaya) 1, no. 02 (October 21, 2022): 78–89. http://dx.doi.org/10.38156/agriwitas.v1i02.16.
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Citrus fruit is one of the horticultural products that has a high volume of imports, causing local oranges to be slightly defeated. Consumer preferences for local and imported citrus fruits have differences, namely by using Chi-square analysis it is known that consumer preferences for local oranges are greenish yellow with a slightly sour sweet taste, medium fruit size, fresh aroma and have a moderate price. Imported oranges, there are differences in preferences on attributes other than color attributes, because consumers have the same opinion about the orange color in imported oranges. Market segmentation, based on the results of cluster research, has almost the same characteristics and shows that consumers of local and imported oranges are consumers who are still young around 1925 years old, female and male, who are graduates from high school or diploma and still have the status as students, unmarried and with incomes ranging from IDR 500,000 to IDR 2,499,999. The number of members in each family includes the number of small and medium members who usually buy oranges at Giant and Ramayana. Purchases are made erratically as much as 1-2 kg in one purchase.
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Ritenour, Mark A., Ed Stover, Brian J. Boman, Huating Dou, Kim D. Bowman, and William S. Castle. "Effect of Rootstock on Stem-end Rind Breakdown and Decay of Fresh Citrus." HortTechnology 14, no. 3 (January 2004): 315–19. http://dx.doi.org/10.21273/horttech.14.3.0315.
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Rootstock significantly affected the development of stem-end rind breakdown (SERB) on `Valencia' and navel oranges (Citrus sinensis), but not `Ray Ruby' grapefruit (C. paradisi) or `Oroblanco' (C. grandis × C. paradisi), and affected postharvest decay on navel orange, `Ray Ruby' grapefruit, `Oroblanco' and one of two seasons (2002) on `Valencia' orange. In `Valencia' and navel oranges, fruit from trees grown on Gou Tou (unidentified Citrus hybrid) consistently developed low SERB. `Valencia' oranges on US-952 [(C. paradisi × C. reticulata) × Poncirus trifoliata] developed high levels of SERB in both years tested. Relative SERB of fruit from other rootstocks was more variable. Navel oranges, `Ray Ruby' grapefruit, and `Oroblanco' fruit from trees on Cleopatra mandarin (C. reticulata) rootstock consistently developed relatively low levels of decay, and in navel this level was significantly lower than observed from trees on all other rootstocks. In three of five trials we observed significant differences between widely used commercial rootstocks in their effects on postharvest SERB and/or decay. Given the expanding importance of sales to distant markets, it is suggested that evaluations of quality retention during storage be included when developing citrus rootstocks and scion varieties for the fresh market.
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Zeeshan, Sadaf, Tauseef Aized, and Fahid Riaz. "The Design and Evaluation of an Orange-Fruit Detection Model in a Dynamic Environment Using a Convolutional Neural Network." Sustainability 15, no. 5 (February 28, 2023): 4329. http://dx.doi.org/10.3390/su15054329.
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Agricultural robots play a crucial role in ensuring the sustainability of agriculture. Fruit detection is an essential part of orange-harvesting robot design. Ripe oranges need to be detected accurately in an orchard so they can be successfully picked. Accurate fruit detection in the orchard is significantly hindered by the challenges posed by the illumination and occlusion of fruit. Hence, it is important to detect fruit in a dynamic environment based on real-time data. This paper proposes a deep-learning convolutional neural network model for orange-fruit detection using a universal real-time dataset, specifically designed to detect oranges in a complex dynamic environment. Data were annotated and a dataset was prepared. A Keras sequential convolutional neural network model was prepared with a convolutional layer-activation function, maximum pooling, and fully connected layers. The model was trained using the dataset then validated by the test data. The model was then assessed using the image acquired from the orchard using Kinect RGB-D camera. The model was then run and its performance evaluated. The proposed CNN model shows an accuracy of 93.8%, precision of 98%, recall of 94.8%, and F1 score of 96.5%. The accuracy was mainly affected by the occlusion of oranges and leaves in the orchard’s trees. Varying illumination was another factor affecting the results. Overall, the orange-detection model presents good results and can effectively identify oranges in a complex real-time environment, like an orchard.
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Reif, Robin. "Oranges." Missouri Review 44, no. 4 (2021): 98–105. http://dx.doi.org/10.1353/mis.2021.0056.
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Glickman, Susan. "Oranges." Cuizine 1, no. 1 (November 17, 2008): 0. http://dx.doi.org/10.7202/019375ar.
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Zellnik, David. "Oranges." Massachusetts Review 58, no. 1 (2017): 65–80. http://dx.doi.org/10.1353/mar.2017.0013.
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Shultz, Susan. "Oranges." Journal of Agricultural & Food Information 6, no. 2-3 (July 7, 2004): 13–20. http://dx.doi.org/10.1300/j108v06n02_03.
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Williams, Gary W., Oral Capps, and Marco A. Palma. "Effectiveness of Marketing Promotion Programs: The Case of Texas Citrus." HortScience 43, no. 2 (April 2008): 385–92. http://dx.doi.org/10.21273/hortsci.43.2.385.
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This article analyzes the effectiveness of Marketing Order 906 in promoting Texas grapefruit and oranges and focuses specifically on the answers to two key questions: 1) What have been the effects of the promotion programs funded under Marketing Order 906 on shipments of Texas grapefruit and oranges? 2) What has been the return on the investment made under Marketing Order 906 to promote sales of Texas grapefruit and oranges? The article first provides some background on the Texas citrus promotion program and then develops a seemingly unrelated regression econometric model of Texas grapefruit and orange shipments for the analysis of the effectiveness of the program. The results obtained indicate that the Texas citrus promotion program has been effective in enhancing shipments of Texas grapefruit but not oranges and that the benefits of the promotion efforts have exceeded the costs, at least for grapefruit. Insights are drawn for other commodity promotion programs.
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Krysl, Marilyn. "Stones and Oranges, Oranges and Stones." Prairie Schooner 88, no. 4 (2014): 46–50. http://dx.doi.org/10.1353/psg.2014.0129.
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Zhou, Binbin, Kaijun Wu, and Ming Chen. "Detection of Gannan Navel Orange Ripeness in Natural Environment Based on YOLOv5-NMM." Agronomy 14, no. 5 (April 26, 2024): 910. http://dx.doi.org/10.3390/agronomy14050910.
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In order to achieve fast and accurate detection of Gannan navel orange fruits with different ripeness levels in a natural environment under all-weather scenarios and then to realise automated harvesting of Gannan navel oranges, this paper proposes a YOLOv5-NMM (YOLOv5 with Navel orange Measure Model) object detection model based on the improvement in the original YOLOv5 model. Based on the changes in the phenotypic characteristics of navel oranges and the Chinese national standard GB/T 21488-2008, the maturity of Gannan navel oranges is tested. And it addresses and improves the problems of occlusion, dense distribution, small target size, rainy days, and light changes in the detection of navel orange fruits. Firstly, a new detection head of 160 × 160 feature maps is constructed in the detection layer to improve the multi-scale target detection layer of YOLOv5 and to increase the detection accuracy of the different maturity levels of Gannan navel oranges of small sizes. Secondly, a convolutional block attention module is incorporated in its backbone layer to capture the correlations between features in different dimensions to improve the perceptual ability of the model. Then, the weighted bidirectional feature pyramid network structure is integrated into the Neck layer to improve the fusion efficiency of the network on the feature maps and reduce the amount of computation. Lastly, in order to reduce the loss of the target of the Gannan Navel Orange due to occlusion and overlapping, the detection frame is used to remove redundancy using the Soft-NMS algorithm to remove redundant candidate frames. The results show that the accuracy rate, recall rate, and average accuracy of the improved YOLOv5-NMM model are 93.2%, 89.6%, and 94.2%, respectively, and the number of parameters is only 7.2 M. Compared with the mainstream network models, such as Faster R-CNN, YOLOv3, the original model of YOLOv5, and YOLOv7-tiny, it is superior in terms of the accuracy rate, recall rate, and average accuracy mean, and also performs well in terms of the detection rate and memory occupation. This study shows that the YOLOv5-NMM model can effectively identify and detect the ripeness of Gannan navel oranges in natural environments, which provides an effective exploration of the automated harvesting of Gannan navel orange fruits.
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Shellie, Krista C., and Robert L. Mangan. "Navel Orange Tolerance to Heat Treatments for Disinfesting Mexican Fruit Fly." Journal of the American Society for Horticultural Science 123, no. 2 (March 1998): 288–93. http://dx.doi.org/10.21273/jashs.123.2.288.
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Navel orange [Citrus sinensis (L.) Osbeck] was exposed to moist, forced air at 46 °C for up to 4.5 hours or 50 °C for 2 hours, or immersed for 3 hours in water at 46 °C. Quality attributes of heated and nonheated fruit were compared after 4 weeks of storage at 7 °C and 1 week at 23 °C. The flavor of oranges immersed in water was rated significantly inferior to fruit heated in air and fruit that were not heated. Oranges immersed in hot water also developed a higher incidence of decay during storage than oranges heated in air or nonheated control fruit. The flavor of oranges exposed to moist, forced air at 46 °C for up to 4.5 hours was rated by preference panelists as similar to nonheated controls, even though heated fruit had a significantly lower amount of titratable acidity and a higher ratio of sugar to acid. Fruit exposed to high-temperature forced air developed less decay during subsequent storage than nonheated control fruit. Texas `N33' navel oranges tolerated exposure to forced air at 46 °C for up to 4.5 hours without deleterious effects on fruit market quality.
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Indahsari, Noer Kumala, Aristanto Aristanto, and Rio Rio. "Potential of Pectin in Lemon’s and Bali Orange’s Peel as Antidislipidemia and Antioxidant in Hypercholesterolemia Rats (Rattus novergicus)." Berkala Kedokteran 16, no. 2 (September 22, 2020): 149. http://dx.doi.org/10.20527/jbk.v16i2.9275.
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Abstract: Dyslipidemia is a lipid metabolism disorder characterized by an increase or decrease in plasma lipid fractions. Lemon’s and Bali Orange’s Peels, which are usually discarded, can be used because they contain pectin compounds. The presence of pectin compounds contained in the Lemon and Bali oranges Peels is expected to potentially reduce the risk factors for cardiovascular disease. This research method was conducted with pure experimental, namely One Group Pre-Test-Post Test Design. With 5 groups of white rats, the first was a positive control group which was only given normal food, the second was a negative control group which was given hypercholesterolemia and the third group was the treatment group who were given Lemon orange peel extract 10%, Bali orange peels extract 10% and a mixture Lemon and Bali orange peel extract 10%. The results of this study were obtained that the administration of Lemon orange peel ethanol extract and Balinese orange peel can effectively reduce total cholesterol levels, from 181.87 mg / dL to 69.29 mg / dL, down around 61.91%, HDL levels are almost the same, levels LDL decreased from 56.76 mg / dL to 45.71 mg / dl, meaning around 19.47%, Triglyceride levels decreased from 192.50 mg / dL to 77.83 mg / dL, which was around 59.57%, levels MDA decreased from 8.19 mg / dL to 6.37 mg / dL, which is down about 22.22% in white rats (Rattus novergicus) made hypercholesteroalmia. Ethanol extract of Lemon and Bali orangse peels containing pectin can effectively reduce total cholesterol, LDL, HDL, Trygliceryde, and Malodialdehyd (MDA) Levels Keywords: Hypercholesterolamia, Pectin, Antidislipidemia, and Antioxidant
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Nasution, I. S., and C. Keke. "Distance transform-watershed segmentation and multi-layer perceptron algorithm to separate touching orange fruit in digital images." IOP Conference Series: Earth and Environmental Science 922, no. 1 (November 1, 2021): 012047. http://dx.doi.org/10.1088/1755-1315/922/1/012047.
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Abstract An algorithm to separate touching oranges using a distance transform-watershed segmentation is presented. In this study, there are four classes of oranges, such as class A, B, C, and D, respectively. The size of each class is based on the Indonesian National Standard (SNI), the sample used is 168 oranges of which 140 are for training and 28 oranges are for testing. The image of citrus fruits was captured using Kinect v2 camera with a camera resolution of 1920 × 1080 pixels, the distance from the camera to the background is 23 cm. The images were captured in PNG format. The watersheds were computed based on the distance transformed by orange regions. The corresponding basins were finally used to split the falsely connected corn kernel by intersecting the basins with the corn kernel regions. Experimental results show that the multi-layer perceptrons have classification accuracy rates of 92.85%. The algorithm appears to be robust enough to separate most of the multiple touching scenarios.
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Suriati, Luh, and I. Gede Pasek Mangku. "Application of coating-konjac to maintain the quality of Kintamani Siamese oranges during storage." IOP Conference Series: Earth and Environmental Science 1228, no. 1 (August 1, 2023): 012009. http://dx.doi.org/10.1088/1755-1315/1228/1/012009.
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Abstract Siam Kintamani oranges are very popular nowadays. Its bioactive compounds such as phenolics, carotenoids, vitamins, minerals, and fiber are very beneficial for health. The weakness of Siamese Kintamani oranges is that the quality quickly declines. The quality of Siam Kintamani oranges can be maintained by applying coating. Nanocoating applications from natural materials are currently needed to reduce coatings from synthetic materials. This can support a green economy while significantly reducing the risk of environmental damage. The natural material that has the potential as a coating is konjac tubers because they contain glucomannan polysaccharides and other bioactive compounds. The reason of this examine become to decide the effect of coating- konjac to maintain the quality of Siam Kintamani oranges. The study began with the preparation of konjac flour as the main material for coating and application of coating- konjac on the surface of the Kintamani Siamese orange. This study used a one-factor completely randomized design, namely storage time (0, 5, 10, and 15 days), and five replications. The variables observed were weight loss, colour, number of damaged fruits, texture, water content, acidity, vitamin C and total dissolved solids. The results of the coating-konjac application research show that the storage time affects the characteristics of Siamese Kintamani orange. Siamese Kintamani orange experienced a significant decline in quality on day 10 with the criteria for acidity 4.34, water content 88.04%, color 70.36%, weight loss 13.86%, vitamin C 69 g/100g, texture 26.14 N and total plate count 5.06 log.cfu/g.
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Setiadi, Aan, Abdul Gafaruddin, and Agustono Slamet. "Faktor-Faktor yang Mempengaruhi Produksi Usahatani Jeruk Manis Siam Madu (Citrus sinensis nobilis) di Desa Tanea Kecamatan Konda Kabupaten Konawe Selatan." Jurnal Ilmiah Membangun Desa dan Pertanian 8, no. 3 (May 1, 2023): 88–95. http://dx.doi.org/10.37149/jimdp.v8i3.79.
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This study aims to determine the factors that influence the production of citrus farming in Tanea Village, Konda District, South Konawe Regency. The population in this study amounted to 30 heads of families (KK). This study determined the sample by census, i.e., the entire population was sampled. The variable used in this research is the characteristics of farmers, including the number of family members (persons), age (years), education level, number of family dependents, and citrus farming experience. Other variables affect production, including labor, plant age, number of trees, fertilizers, and pesticides. Analysis of the data used is multiple linear regression analysis. The results showed that the factors that influenced the production of sweet orange farming in Tanea Village were the number of trees and the age of the plant. Both factors had a positive and significant effect on increasing the production of sweet oranges. Increasing the number of trees by 1% will increase the production of sweet oranges by 1,072 kg/ha. Adding 1% plant age will be followed by an increase in lovely orange output of 1,140 kg/ha. Adding and reducing the number of workers by 1% does not affect the production produced by sweet orange farmers. Adding or decreasing 1% of fertilizer cannot affect the sweet oranges produced. Adding and reducing the amount of 1% pesticide does not affect the resulting production. The average output of sweet oranges in Tanea Village is 1,945 kg/harvest season, with the highest show being 12000 kg and the lowest being 100 kg.
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Huwaida, Hasna’, Anggi Marnata, Mutiur Rohman, and Nurul Hidayatullah Sulistyaningtyas. "Sosialisasi Pengelolaan Limbah Jeruk Menjadi Pupuk Organik Ramah Lingkungan di Desa Sidomulyo Kecamatan Semboro Kabupaten Jember." SEJAGAT : Jurnal Pengabdian Masyarakat 1, no. 1 (June 15, 2024): 1–5. http://dx.doi.org/10.25047/sejagat.v1i1.5008.
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In the agricultural sector, Semboro District is the main source of orange producers in Jember Regency. The bulk of the people that live in the Semboro District are farmers, and they created this. The issue in Semboro District's Sidomulyo Village is that farmers haven't been able to make the most of their leftover orange crop. The agricultural industry can handle the remaining oranges. It is possible for this industry to handle oranges that are unfit for consumption. KKN students in Sidomulyo Village are attempting to process orange waste by offering outreach in managing orange waste in an effort to turn it into an environmentally friendly organic fertilizer. To ensure sustainable management of the organic matter, farmers and the Thematic KKN Team 13 collaborate to maximize the use of organic fertilizer. This orange trash trial revealed that adding stale rice to orange waste MOL activates trichoderma, allowing the MOL to be utilized as a pesticide and enhance soil structure.
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Sarooshi, RA, and RJ Hutton. "Midseason oranges for juice production." Australian Journal of Experimental Agriculture 32, no. 8 (1992): 1141. http://dx.doi.org/10.1071/ea9931141.
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Juice quality, yield performance, and cropping efficiency of 6 midseason orange varieties (Hamlin, Parramatta, Pineapple, Joppa, White Siletta, and Mediterranean Sweet), together with Seedless Valencia on 4 rootstocks [Troyer citrange, Poncirus trifoliata, rough lemon, and either Benton citrange (coastal) or sweet orange (inland)], were studied for their suitability for both processed and fresh orange juice production. Promising midseason varieties for processed orange juice were Parramatta and Hamlin on Troyer citrange, and Parramatta on P. trifoliata, when grown in coastal districts. Debittered juice of Joppa on Troyer citrange could also be used for processing by early September on the coast. Preferred inland varieties for production of processed orange juice were Mediterranean Sweet and Harnlin on Troyer citrange. Midseason oranges grown inland had higher citric acid levels than the same variety grown on the coast. This resulted in inland fruit having lower ratios of total soluble solids (TSS) to acid, and later maturities, than fruit grown on the coast. Acceptable fresh orange juice was produced from fruit of Parramatta, Hamlin, White Siletta, and Mediterranean Sweet varieties grown on Troyer citrange rootstock in coastal districts; inland, fruit of Mediterranean Sweet, Joppa, Parramatta, and White Siletta varieties on Troyer citrange rootstock produced good quality, fresh orange juice. Hamlin can also be marketed as fresh fruit. In coastal production areas, harvesting can commence from mid July for Hamlin, from mid to late August for Parramata, and from early September for White Siletta and Mediterranean Sweet. Harvest in inland districts for processed juice should commence in mid July for Hamlin and in early September for Mediterranean Sweet, whilst harvest for fresh juice and/or fruit should proceed in early September for Mediterranean Sweet, and in late September for Parramatta, White Siletta, and Joppa. Highest fruit yields and large trees were produced by Parramatta and Joppa on Troyer citrange and rough lemon rootstocks. Most quality characteristics were better for fruit produced on Troyer citrange than on rough lemon. Both Benton citrange and sweet orange performed poorly and are not recommended as rootstocks for midseason oranges. All varieties on Troyer citrange had better yield and TSS/ha than those on P. trifoliata rootstock, which produced smaller but highly cropping efficient trees.
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Rosman, Rafidah, Mohamad Ngasri Dimon, and You Kok Yeow. "Correlation between Reflection Coefficient, Dielectric Properties and Brix Level of Malaysian Oranges at Microwave Frequencies." Indonesian Journal of Electrical Engineering and Computer Science 10, no. 3 (June 1, 2018): 853. http://dx.doi.org/10.11591/ijeecs.v10.i3.pp853-858.
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This paper presents sweetness degree (°Brix) prediction of the Malaysian oranges using microwave technique. Experimental measurement using monopole sensor and reflectometer was done in order to correlate the relationship between measured reflection coefficient, <em>S</em><sub>11</sub> of the orange and its sweetness level. Up to fifty orange samples were freshly plucked from local grower’s farm and tested. The unique design of the monopole sensor’s holder is made of nylon. The experiment test bed was set up based on the standard dimension of monopole sensor available in the market. The operating frequency is focusing on 2.2 GHz as it shows significant sensitivity for determining Malaysian local oranges sweetness level.
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Zacarías-Garcia, Jaime, Guiselle Carlos, José-Vicente Gil, José Luís Navarro, Lorenzo Zacarías, and María-Jesús Rodrigo. "Juices and By-Products of Red-Fleshed Sweet Oranges: Assessment of Bioactive and Nutritional Compounds." Foods 12, no. 2 (January 14, 2023): 400. http://dx.doi.org/10.3390/foods12020400.
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The content of nutrients and bioactive compounds, and antioxidant capacity were assessed in the juices from two red-fleshed oranges, Cara Cara and Kirkwood, and compared with that of a standard Navel orange. Two juice extraction procedures, hand-squeezing and industrial, and two treatments, pasteurization (85 °C/30 s) and high-pressure homogenization (HPH, 150 MPa/55 °C/1 min), were evaluated. For most of the nutrients and bioactive compounds, the hand and industrial juice squeezing rendered similar extraction efficiency. Individual composition of carotenoids in the juices were differentially affected by the extraction procedure and the treatments, but the red-fleshed orange juices contained between 3- to 6-times higher total carotenoids than the standard Navel juices, being phytoene and phytofluene the main carotenoids. The industrial and treated juices of both red-fleshed oranges contained 20–30% higher amounts of tocopherols but about 20% lower levels of vitamin C than Navel juices. Navel juices exhibited higher hydrophilic antioxidant capacity, while the red-fleshed orange juices showed an improved lipophilic antioxidant capacity. The main distinctive characteristic of the industrial juice by-product of the red-fleshed oranges was a higher content of carotenoids (×10) and singlet oxygen antioxidant capacity (×1.5–2) than the Navel by-product.
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Rappussi, Maria Cristina Canale, Eliane Aparecida Benato, Patrícia Cia, and Sérgio Florentino Pascholati. "Chitosan and fungicides on postharvest control of Guignardia citricarpa and on quality of 'Pêra Rio' oranges." Summa Phytopathologica 37, no. 3 (September 2011): 142–44. http://dx.doi.org/10.1590/s0100-54052011000300011.
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Citrus fruits are affected by the black spot disease caused by the fungus Guignardia citricarpa. Chitosan can be used as covering for fruits and may delay the ripening process and inhibit the growth of some fungi. Thus, the control of citrus black spot using chitosan and the fungicides thiabendazole and imazalil was assessed in addition to the physicochemical quality of 'Pêra Rio' oranges. The oranges were immersed into chitosan, thiabendazole or imazalil, and in chitosan mixed with both fungicides. The fruits were then stored at 25 °C, 80% RH, for 7 days and, after this storage period, subjected to physicochemical analyses. Chitosan in association with the fungicides reduced black spot in 'Pêra Rio' oranges and delayed the change in the orange skin colour from green to yellow during the postharvest storage. Total soluble solids, titratable acidity, pH, ascorbic acid content and ratio were not influenced by the treatments. Thus, chitosan applied with the fungicides thiabendazole and imazalil showed potential to control the development of black spot lesions on 'Pêra Rio' oranges during the postharvest period.
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CASTILLO, A., A. VILLARRUEL-LÓPEZ, V. NAVARRO-HIDALGO, N. E. MARTÍNEZ-GONZÁLEZ, and M. R. TORRES-VITELA. "Salmonella and Shigella in Freshly Squeezed Orange Juice, Fresh Oranges, and Wiping Cloths Collected from Public Markets and Street Booths in Guadalajara, Mexico: Incidence and Comparison of Analytical Routes." Journal of Food Protection 69, no. 11 (November 1, 2006): 2595–99. http://dx.doi.org/10.4315/0362-028x-69.11.2595.
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A survey of the presence of Salmonella and Shigella in freshly squeezed orange juice and related samples was conducted in Guadalajara, Mexico. One hundred samples of freshly squeezed orange juice were collected from 49 street booths and 51 small food service establishments. In addition, 75 fresh orange samples, each consisting of five orange units, and 75 wiping cloths were collected from the same establishments from which juice had been collected. Salmonella was isolated from 14, 20, and 23% of samples of orange juice, orange surfaces, and wiping cloths collected from street vendors, while Shigella was isolated from 6, 17, and 5% of these samples. In general, the frequency of isolation of these pathogens in samples from juice serving establishments at public markets was significantly lower than that found among street vendors (P < 0.05). Salmonella enterica serotypes Agona, Typhimurium, and Anatum were found in orange juice, fresh oranges, and wiping cloth samples, while serotype Mexico was found on fresh oranges and in wiping cloths and serotypes Muenchen and Panama were found only in wiping cloth samples. Regarding Shigella species, Shigella sonnei was found in all three types of sample tested; Shigella dysenteriae was found in juice and orange samples, Shigella boydii in orange and wiping cloth samples, and Shigella flexneri on oranges only. Thirty-one percent and 39% of the juice samples showed aerobic plate counts of ≥5.0 log CFU/ml and Escherichia coli counts of >3.0 log CFU/ml, respectively. These high counts may indicate poor sanitation and potential exposure to fecal contamination either in the raw materials or during the orange-crushing and juice-serving process. These data may be useful for a further risk assessment of Salmonella or Shigella in unpasteurized, freshly squeezed juice.