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Littérature scientifique sur le sujet « Citrus fruits Harvesting »

Auteur : Grafiati

Publié le 4 juin 2021

Mis à jour le 31 janvier 2023

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Articles de revues sur le sujet "Citrus fruits Harvesting"

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Xiao, Xu, Yaonan Wang, and Yiming Jiang. "End-Effectors Developed for Citrus and Other Spherical Crops." Applied Sciences 12, no. 15 (August 8, 2022): 7945. http://dx.doi.org/10.3390/app12157945.

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Citrus harvesting is time-intensive and labor-intensive, relying mainly on manual harvesting. The automatic harvesting of fruit and vegetable crops can not only reduce the physical labor of fruit farmers in the harsh field environment but also greatly improve the harvesting efficiency. Based on the principle of manual citrus picking, an end-effector with three-finger grasping is designed in this study. First, the structure of the end-effector was designed to achieve the function of stable grasping and effective cutting of citrus fruits, and then the working process and key parameters of the en

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Hanif, Zainuri, and Hasim Ashari. "Post-harvest losses of citrus fruits and perceptions of farmers in marketing decisions." E3S Web of Conferences 306 (2021): 02059. http://dx.doi.org/10.1051/e3sconf/202130602059.

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Citrus is a non-climacteric fruit that breaks easily. Poor postharvest handling methods have resulted in severe losses to farmers. This research was conducted in 2017 at Dau Subdistrict, Malang Regency, East Java, using a purposive sampling method to understanding the losses of citrus fruits and perceptions of farmers in marketing decisions. A total of 177 citrus farmers participated in this study. Citrus farmers experienced food loss and waste is 34% in total all activity. From the value chain activities carried out by most citrus farmers: production and harvesting, handling and storage, proc

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Deng, Jianxun. "Analysis and Recognition Based on Citrus Color Grading Model considering Computer Vision Technology." Advances in Multimedia 2021 (December 8, 2021): 1–7. http://dx.doi.org/10.1155/2021/6426163.

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With the continuous advancement of smart agriculture, the introduction of robots for intelligent harvesting in modern agriculture is one of the crucial methods for the picking of fruits, vegetables, and melons. In this paper, three different illuminations, including front lighting, normal lighting, and back lighting, are first applied to citrus based on the computer vision technology. Secondly, the image data of the fruits, fruit stems, and leaves of the citrus are collected. The color component distributions of citrus based on different color models are analyzed according to the corresponding

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Ortiz, Coral, Antonio Torregrosa, and Sergio Castro-García. "Citrus Fruit Movement Assessment Related to Fruit Damage during Harvesting with an Experimental Low-Frequency–High-Amplitude Device." Agronomy 12, no. 6 (May 31, 2022): 1337. http://dx.doi.org/10.3390/agronomy12061337.

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The profitability of fresh citrus crops outlines the possibility of using mechanical systems to reduce the high cost of the manual harvesting operation. In this line, an experimental light shaker with low frequency and high amplitude and a hydraulic arm was developed. This device had been successfully used for harvesting ornamental citrus trees. In previous studies, it was proven that the removal percentage was adequate, but the percentage of slightly damaged fruit increased compared to a traditional fruit trunk shaker. Visualizing the fruit movements in high-speed video recording images durin

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Lu, Jun, Nong Sang, Ren Yuan Liang, and Lin Chai. "Detection Citrus Fruits with Shadow within Tree Canopy by Image Fusion Method." Applied Mechanics and Materials 411-414 (September 2013): 1330–34. http://dx.doi.org/10.4028/www.scientific.net/amm.411-414.1330.

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In order to guide the robots for harvesting citrus fruits, method based on normalized RGB model and chromatic aberration map was developed to detect citrus fruits with shadow within tree canopy. Several images of natural citrus-grove scene were photoed, and the color properties of target objects were analyzed. A rule for segmenting citrus fruits from background was put forward by fusing the segmented results of the normalized R channel map and the chromatic aberration map of R and B channels. The results show that the fruits with shadow can be detected integrally using the proposed method.

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Chen, Hong, Greg McCollum, Elizabeth Baldwin, and Jinhe Bai. "Impacts of Huanglongbing Symptom Severity on Fruit Detachment Force and Mechanical Properties of Sweet Oranges (Citrus sinensis)." HortScience 51, no. 4 (April 2016): 356–61. http://dx.doi.org/10.21273/hortsci.51.4.356.

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This study evaluated the effects of huanglongbing (HLB) symptom severity on fruit detachment force (FDF) and fruit mechanical properties in sweet oranges (Citrus sinensis) as indicators of potential HLB-influenced preharvest fruit drop and postharvest damage and breakdown. FDF for fruit from HLB-asymptomatic trees (AS) was substantially greater than for fruits from HLB-symptomatic trees or branches. Fruit hardness, resilience, springiness, and cohesiveness values, measured by texture profile analysis (TPA), represent various aspects of fruit firmness and recovery capacity once compressed, and

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FUJIOKA, Yoshihiro, Yohei SAITO, and Masatsugu IRIBE. "Development of an assist robot for harvesting citrus fruits." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2018 (2018): 1A1—C01. http://dx.doi.org/10.1299/jsmermd.2018.1a1-c01.

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FUJIOKA, Yoshihiro, Yohei SAITO, Hiroki HOMMA, and Masatsugu IRIBE. "Development of an assist robot for harvesting citrus fruits." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2019 (2019): 1A1—E07. http://dx.doi.org/10.1299/jsmermd.2019.1a1-e07.

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FUJIOKA, Yoshihiro, Yohei SAITO, Hiroki HOMMA, and Masatsugu IRIBE. "Development of an assist robot for harvesting citrus fruits." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2020 (2020): 1P1—A12. http://dx.doi.org/10.1299/jsmermd.2020.1p1-a12.

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Kirinus, Marines Batalha Moreno, Keilor da Rosa Dorneles, Pricila Santos Silva, Caroline Farias Barreto, Roberto Pedroso Oliveira, and Marcelo Barbosa Malgarim. "Application of chemical compounds during pre-harvesting to control post-harvesting green mold in citrus." Semina: Ciências Agrárias 42, no. 4 (May 20, 2021): 2135–50. http://dx.doi.org/10.5433/1679-0359.2021v42n4p2135.

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This study aimed to evaluate the effect of system-acquired resistance inducing compounds applied during the pre-harvest of ‘Navelina’ orange and ‘Ortanique’ tangor in controlling post-harvest disease caused by Penicillium digitatum. The products applied were acibenzolar-s-methyl (ASM), imidacloprid (IMI), methyl jasmonate (MeJa), sodium selenite, potassium silicate, and thiamethoxam (TMT). Sterile distilled water was used as the control. The applications were administered 45, 30, and 15 days before harvesting. In 2015 and 2016, 840 fruits were randomly collected, and when they reached commerci

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Thèses sur le sujet "Citrus fruits Harvesting"

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Coates, Wayne. "Jojoba Harvesting Equipment." College of Agriculture, University of Arizona (Tucson, AZ), 1990. http://hdl.handle.net/10150/215740.

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Knight, Toby George. "Investigation of the physiological basis of the rind disorder oleocellosis in Washington navel orange (Citrus sinensis [L.] Osbeck)." Title page, contents and abstract only, 2002. http://web4.library.adelaide.edu.au/theses/09AHP/09ahpk71.pdf.

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Includes bibliographical references (leaves 152-164) Microscopy investigations into the oil glands, localisation of the rind oils and the development of oleocellosis have been carried out in Washington navel orange (Citrus sinensis [L.] Osbeck). Aims to develop an improved understanding of the physiological basis of the rind disorder.

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Knight, Toby George. "Investigation of the physiological basis of the rind disorder oleocellosis in Washington navel orange (Citrus sinensis [L.] Osbeck) / Toby George Knight." Thesis, 2002. http://hdl.handle.net/2440/22440.

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Includes bibliographical references (leaves 152-164)<br>x, 165 leaves : ill. (chiefly col.), plates ; 30 cm.<br>Microscopy investigations into the oil glands, localisation of the rind oils and the development of oleocellosis have been carried out in Washington navel orange (Citrus sinensis [L.] Osbeck). Aims to develop an improved understanding of the physiological basis of the rind disorder.<br>Thesis (Ph.D.)--University of Adelaide, Dept. of Horticulture, Viticulture and Oenology, 2002

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Muleya, Nqobile. "Mathematical modelling of fungal contamination of citrus produce along the pre-harvest supply chain." Diss., 2016. http://hdl.handle.net/11602/797.

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Livres sur le sujet "Citrus fruits Harvesting"

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Yahia, Elhadi M. Postharvest biology and technology of tropical and subtropical fruits: Ac ʹai to citrus. Cambridge: Woodhead Pub., 2011.

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California. State Board of Horticulture. Fifteen years with the lemon: And new varieties of citrus fruits. 2018.

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Yahia, Elhadi M. Postharvest Biology and Technology of Tropical and Subtropical Fruits: Açai to Citrus. Elsevier Science & Technology, 2011.

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Teague, R. M. Principles and Practices of Citrus and Tropical Fruit Culture from the Nursery Tree to the Full Bearing Orchard [microform]: Together with Timely Suggestions on Harvesting, Packing, and Marketing, Based on Thirty-Three Years' Experience in Southern Calif. Creative Media Partners, LLC, 2018.

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Teague, R. M. Principles and Practices of Citrus and Tropical Fruit Culture from the Nursery Tree to the Full Bearing Orchard [microform]: Together with Timely Suggestions on Harvesting, Packing, and Marketing, Based on Thirty-Three Years' Experience in Southern Calif. Creative Media Partners, LLC, 2018.

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Chapitres de livres sur le sujet "Citrus fruits Harvesting"

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Sarig, Y., and G. Coppock. "Harvesting Techniques." In Fresh Citrus Fruits, 205–26. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4684-8792-3_7.

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Bastianel, Marinês, Vera L. N. P. Barros, Augusto Tulmann Neto, Paulo S. Souza, Rose M. Pio, and Rodrigo R. Latado. "Induction and selection of mandarin mutants with fruits containing low number of seeds." In Mutation breeding, genetic diversity and crop adaptation to climate change, 379–85. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789249095.0039.

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Abstract The Brazilian citrus industry has a worldwide presence for production and export of sweet orange juice, but it has little contribution to the production of fruits for the fresh fruit market. One requirement of this market is the production of seedless fruits. The Fremont IAC 543 mandarin produces fruits with good commercial qualities, large numbers of seeds (10-12), and plants with resistance to Alternaria brown spot (ABS), an important disease present in several countries. The objective of this work was to induce and select mutants of Fremont IAC 543 mandarin with seedless fruits or fruits with a low number of seeds, using gamma-ray induced mutagenesis. In vivo buds were irradiated with doses of 20 and 30 Gy of gamma-rays. After irradiation and grafting of 2000 in vivo buds with each mutagenic dose, 4000 plants were produced and planted in an experimental field. During development of these plants, they were pruned several times allowing only the development of M1V4 branches or more advanced ones (without new grafting). A total of 32 branches were selected during the harvesting period because they produced seedless fruits and nine mutant clones were selected after another vegetative multiplication. Fruit and juice qualities, including seed number of the fruits, were evaluated in a further experiment including six mutants and a control. The results obtained showed that all mutants produced fruits with a lower number of seeds (between 3.7 and 9.1 seeds per fruit) in relation to the control (22.0 seeds per fruit), but without the existence of other alterations (fruit metric and chemical characteristics of the juice). All selected mutants (nine) are participating in advanced agronomic evaluation experiments, with a greater number of replicates and several local checks, in order to evaluate commercial yield, presence of chimeras, disease resistance and organoleptic quality of the fruits.

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Albrigo, L. G., L. L. Stelinski, and L. W. Timmer. "Fruit quality, harvesting and postharvest technology." In Citrus, 246–72. Wallingford: CABI, 2019. http://dx.doi.org/10.1079/9781845938154.0246.

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Hussain, Syed Bilal, Mudassar Naseer, Meryam Manzoor, Arslan Akbar, Sikandar Hayyat, and Samreen Sabir. "Maturity Indices and Harvesting Methods for Citrus Fruit." In Citrus Production, 311–18. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003119852-21.

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Ferreira, Marcos David. "Harvesting citrus: challenges and perspectives in an automated world." In Achieving sustainable cultivation of tropical fruits, 43–64. Burleigh Dodds Science Publishing, 2019. http://dx.doi.org/10.19103/as.2019.0054.04.

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Ladaniya, Milind S. "HARVESTING." In Citrus Fruit, 215—VIII. Elsevier, 2008. http://dx.doi.org/10.1016/b978-012374130-1.50010-3.

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Ladaniya, Milind. "Harvesting." In Citrus Fruit, 279–97. Elsevier, 2023. http://dx.doi.org/10.1016/b978-0-323-99306-7.00024-4.

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Martín Enríquez-Castro, Carlos, Manuel Pérez-Nafarrate, and Jesús Enrique Gerardo Rodríguez. "Innovation in Food Products Using Ozone Technology: Impact on Quality Assurance." In Innovation in the Food Sector Through the Valorization of Food and Agro-Food By-Products. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.96681.

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Ozone application is a non-thermal technology used in food preservation, which is a powerful oxidant agent used in water and air treatment specially in disinfection processes for agriculture and food industry. The objective of this revision work is to publicize ozone applications in the growing, harvest, and postharvest handling of fruit and vegetables (F & V) across México. Ozonated water by foliar spraying and irrigation were proved to be effective in the control of pathogens, bacteria, and bugs. The use of Ozone was effective to heighten quality parameters of F & V, such as color, flavor, and soluble solids in mango, sugarcane, citric fruits, and nopal, increasing shelf life of fresh products up to 15 days after harvesting. Several protocols mentioned to fulfill the requirements of the producer were developed by TRIO3. The methodology proposed and the designed equipment by the company suggest a wider approach of this green technology in agriculture.

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Actes de conférences sur le sujet "Citrus fruits Harvesting"

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Miller, William M. "Automated Inspection/Classification of Fruits and Vegetables." In ASME 1987 Citrus Engineering Conference. American Society of Mechanical Engineers, 1987. http://dx.doi.org/10.1115/cec1987-3305.

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Rapid advances in the electronic industry have generated high interest in automated grading technology tor fresh fruits and vegetables. During the last two decades, packaging and container handling have become significantly mechanized. However, sorting remains a labor intensive operation in many fresh produce industries. The amount of fruit removed can be quite significant. In Florida citrus packing, an average of 30% of the fruit is diverted to processing. Such high removal rates coupled with limited grading tables areas can diminish human grading performance and the production capacity of a

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Chen, Shumian, Juntao Xiong, Zhenfeng He, Jingmian Jiao, Zhiming Xie, and Yonglin Han. "Citrus Fruits Harvesting Sequence Planning Method Based on Visual Attention Mechanism : A Novel Cognition Framework for Citrus Picking Robots." In 2021 International Conference on Computer Information Science and Artificial Intelligence (CISAI). IEEE, 2021. http://dx.doi.org/10.1109/cisai54367.2021.00162.

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Whitney, Jodie D. "A Review of Citrus Harvesting in Florida." In ASME 1995 Citrus Engineering Conference. American Society of Mechanical Engineers, 1995. http://dx.doi.org/10.1115/cec1995-4103.

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The removal of Florida citrus from the tree for harvesting is still done by handpickers on ladders and requires a work force of 20,000 to 35,000 persons. Moving fruit from the grove and subsequent fruit handling has been mechanized in the last 40 years. Factors affecting harvesting are fruit type and utilization, grove characteristics, and harvest labor requirements and costs. Although mechanical harvesting research over the past 35 years has not developed a feasible machine to replace the picker, substantial design and field performance information has been developed to mechanize the harvest

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Ehsani, Reza, Won Suk Lee, and Elizabeth Northeimer. "Current Challenges of Mechanical Harvesting Technology for Citrus." In ASME 2009 Citrus Engineering Conference. American Society of Mechanical Engineers, 2009. http://dx.doi.org/10.1115/cec2009-5505.

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In recent years, the use of citrus mechanical harvesting machines has significantly increased in Florida. In 2007, the total acreage of citrus orchards harvested by mechanical means was 14,420 ha (35,633 acres) which is about 7% of the total citrus production area in Florida up from only 1% in 2004. In addition, the Florida Department of Citrus initiated a program to register abscission compounds for citrus. Abscission compounds reduce the amount of force required to detach the fruit from the stem, making it easier to harvest. According to the plan, the abscission compounds will become availab

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Changhui, Yang, Hu Youcheng, Huang Lin, Liu Sa, and Liu Yanping. "Overlapped fruit recognition for citrus harvesting robot in natural scenes." In 2017 2nd International Conference on Robotics and Automation Engineering (ICRAE). IEEE, 2017. http://dx.doi.org/10.1109/icrae.2017.8291418.

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Rapports d'organisations sur le sujet "Citrus fruits Harvesting"

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Burks, Thomas F., Victor Alchanatis, and Warren Dixon. Enhancement of Sensing Technologies for Selective Tree Fruit Identification and Targeting in Robotic Harvesting Systems. United States Department of Agriculture, October 2009. http://dx.doi.org/10.32747/2009.7591739.bard.

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The proposed project aims to enhance tree fruit identification and targeting for robotic harvesting through the selection of appropriate sensor technology, sensor fusion, and visual servo-control approaches. These technologies will be applicable for apple, orange and grapefruit harvest, although specific sensor wavelengths may vary. The primary challenges are fruit occlusion, light variability, peel color variation with maturity, range to target, and computational requirements of image processing algorithms. There are four major development tasks in original three-year proposed study. First, s

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