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Relevant bibliographies by topics / Watermelon processing

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Academic literature on the topic 'Watermelon processing'

Author: Grafiati

Published: 7 June 2025

Last updated: 17 July 2025

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Journal articles on the topic "Watermelon processing"

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Pavadharini, T., and HB Anita. "Classification of Watermelon using Sound Processing." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 4 (2020): 2489–92. https://doi.org/10.35940/ijeat.D8498.049420.

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In a country like India, wide variety of fruits are available. Fruits plays an important role in the health of human beings and naturally health improves, if the quality of the fruit is good. Grading of the watermelon quality helps the consumers and vendors. The proposed work is to classify the watermelons based on the sound. Sound file dataset is created manually by tapping the watermelon and recording the sound. Dataset consist of different types of watermelon. For this, different size, colour and shape of the watermelons are used. Features are extracted from the sound files. Naïve Baye

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Nadeem, Muhammad, Maham Navida, Kashif Ameer, et al. "Watermelon nutrition profile, antioxidant activity, and processing." Korean Journal of Food Preservation 29, no. 4 (2022): 531–45. http://dx.doi.org/10.11002/kjfp.2022.29.4.531.

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The first primitive watermelon domestication has been reported more than 5,000 years ago in Northeast Africa. Watermelon is recognized all over the world as a delicious fruit that quenches the thirst that many people consume in the summer heat. There are about 1,200 varieties of watermelon. Watermelons are loaded with plentiful nutrients, such as vitamin C, pantothenic acid, copper, biotin, vitamin A, and vitamins B6 & B1. Watermelon is processed to manufacture various value-added foods, such as cookies, cakes, juice, jam, cadies, and biscuits. In this review, we discuss pre- and postharve

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Lee, Kang Jin, Wank Yu Choi, Gi Young Kim, Suk Won Kang, and Sang Ha Noh. "Internal Quality Estimation of Watermelon by Multiple Acoustic Signal Sensing." Key Engineering Materials 321-323 (October 2006): 1209–12. http://dx.doi.org/10.4028/www.scientific.net/kem.321-323.1209.

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Watermelons are usually sorted by theirs weight and internal quality. Some automated watermelon weight sorters have been developed and operated in watermelon production areas. However, inspection of internal quality of watermelon is still performed by manually. Principal method of identifying internal defect of watermelon is analyzing the percussion sound of watermelon by human experts. Development of non-destructive evaluation technique for internal quality of watermelon is required to reduce human decision errors. The objective of this study was to develop a non-destructive sorting system wh

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Tan, Andreas Felix, Mutiara Angelina Manao, Maria Novia Delviyanti, Pricillia Pretty Septy Honesty, and Natalia Diyah Hapsari. "Comparison of Ethanol Levels in Yellow and Red Watermelon Wine." Hydrogen: Jurnal Kependidikan Kimia 12, no. 5 (2024): 929. https://doi.org/10.33394/hjkk.v12i5.11464.

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Watermelon is one of the tropical fruits that has high water and sugar content. However, the selling price of watermelon is still relatively low, and there is limited processing variation. By utilizing the high water and sugar content in watermelon to create an alcoholic beverage, wine is one promising form of innovation. The aim of this research is to determine the difference in alcohol content of wine made from yellow and red watermelon. The samples used in this study were yellow and red watermelons. Yellow and red watermelons fermented with Saccharomyces cerevisiae yeast to transform them i

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Yang, Chenshuo, Pingchuan Zhang, Hao Yu, Yang Xue, Wenjie Wang, and Shuquan Xiao. "Development of watermelon picking robot based on AioT." ITM Web of Conferences 77 (2025): 01049. https://doi.org/10.1051/itmconf/20257701049.

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This project integrates 5G, IoT, and AI technologies to develop a watermelon picking robot, aiming to solve the issue of watermelon harvesting in agricultural fields. The robot features a hexapod walking mechanism. By combining machine vision with a fan, it can avoid crushing melon vines. It uses a watermelon maturity - processing algorithm to identify, pick, weigh, and code ripe watermelons. With 5G communication, the robot uploads field operation data to the cloud platform. The Beidou navigation system and A* algorithm enable its autonomous movement in the melon field. This innovation offers

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Hong, Suk-Ju, Ahyeong Lee, Sang-Yeon Kim, et al. "X-ray Imaging Assessment of Internal Seed Morphology as a Nondestructive Viability Prediction for Triploid Watermelon Seeds." Journal of the ASABE 66, no. 5 (2023): 1099–108. http://dx.doi.org/10.13031/ja.15563.

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Highlights X-ray imaging techniques were used to assess the internal morphology of triploid watermelon seeds. Structural integrity of triploid watermelon seed was quantified through image-processing and analyzed according to multiple viability classes. Integrity and CNN-based viability prediction models were developed and evaluated for multiple viability criteria. In the integrity analysis and modeling results, there were differences in the correlation between internal seed morphology and viability depending on the condition of the seed lot. Abstract. Watermelon (Citrullus lanatus) is a tropic

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Nazimbekova, A. E., D. A. Tlevlessova, and A. E. Kayrbaeva. "Physical and mathematical model of the processes of a device for processing watermelons." Journal of Almaty Technological University, no. 1 (April 10, 2022): 71–80. http://dx.doi.org/10.48184/2304-568x-2022-1-71-80.

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The knowledge of the grinding processes of the pulp of fruits and vegetables is not sufficient. In this article, we examined the processes of destruction, grinding, mixing the pulp of watermelon. The criterion equations of these processes are derived taking into account the indicators of the pulp and peel of the watermelon. The derivation of criteria equations for calculating the characteristics of the processes used in the processing of watermelon fruits is considered. The mechanic-technological basis for calculating and designing machines for processing watermelons for food purposes is outli

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Efendi, Ayu Mahriza Agustin, Sriani Sriani, and Muhammad Siddik Hasibuan. "Classification of Watermelon Ripeness Levels Using HSV Color Space Transformation and K-Nearest Neighbor Method." Journal of Computer Networks, Architecture and High Performance Computing 6, no. 3 (2024): 934–48. http://dx.doi.org/10.47709/cnahpc.v6i3.3999.

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Watermelons had high appeal due to their sweet taste, refreshing nature, and numerous benefits. However, consumers often faced difficulties in selecting suitable fruit because of the subtle differences between fully ripe and half-ripe watermelons. One important indicator of a watermelon’s ripeness was the yellowish pattern on its skin. In this study, the proposed use of digital image processing methods, specifically the HSV Color Space Transformation, was aimed at extracting watermelon images and employing the K-Nearest Neighbor (K-NN) method to classify them into two categories: "Ripe" and "H

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Yelena, Petrenko, Tlevlessova Dinara, Syzdykova Laila, Kuzembayeva Gaukhar, and Abdiyeva Karlygash. "Development of technology for the production of Turkish delight from melon crops on a natural base." Eastern-European Journal of Enterprise Technologies 3, no. 11 (117) (2022): 6–18. https://doi.org/10.15587/1729-4061.2022.258534.

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The reason for the current work is the lack of technology to produce food from the fruits of melon crops, namely oriental sweets like soft sweets, based on processed overripe fruits of melon crops of domestic growth. The rationale for the need for this research work was the demand for the creation of technology for the manufacture of food, a high percentage of unsold substandard melons and watermelons. As well as the lack of the possibility of processing melon crops near the areas of cultivation and manufacturing sweet products at small and medium-sized enterprises. The development of technolo

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Ferdiansyah Putra Manggala, Karina Nine Amalia, and Tri Agustina Nugrahani. "Pemanfaatan Kulit Semangka Menjadi Manisan Guna Menjaga Ketahanan Pangan di Kecamatan Puger Kabupaten Jember." TEKIBA : Jurnal Teknologi dan Pengabdian Masyarakat 5, no. 2 (2025): 61–71. https://doi.org/10.36526/tekiba.v5i2.5095.

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This study explores the potentian of watermelon rind processing into sweets as an innovative solution in managing organic waste and improving economic welfare in Mojosari Village, Jember Regency. With a total population of 9.470 people, this village relies on the agricultural sector, where watermelon rind is a waste that is often overlooked. This study identifies the volume of waste, current management practices, and evaluates the environmental impacts and economic benefits of watermelon rind processing. Research methods include surveys, interviews, and observations, followed by watermelon rin

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Dissertations / Theses on the topic "Watermelon processing"

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Lecky, Matthew. "Continuous high pressure carbon dioxide processing of watermelon juice." [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0011651.

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Zhang, Shu Fen, and 張淑芬. "Effect of processing conditions on the quality and sediment formation of watermelon juice." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/05080638546307250175.

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Maoto, Makaepea Mossa. "Effects of maturity and processing on quality properties of the watermelon (Citrullus lanatus) fruit juice." Diss., 2019. http://hdl.handle.net/11602/1310.

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MSCFST<br>Department of Food Science and Technology<br>Watermelon (Citrullus lanatus) juice is rich in phytochemicals that possess antioxidant properties which are known to have a positive contribution to human health. Colour, pH, total soluble solids, lycopene, β-carotene, ascorbic acid, total polyphenolic content and antioxidants activity are quality properties that characterise watermelon juice. However, these quality properties undergo some chemical changes throughout the stages of maturity of the fruit as well as during thermal processing. The aim of this study was to investigate the

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Oikonomakos, Ioannis. "Maturity and temperature influence on lycopene distribution during filtration processing of red-fleshed watermelons." 2005. http://digital.library.okstate.edu/etd/umi-okstate-1683.pdf.

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Book chapters on the topic "Watermelon processing"

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Salami, A. O., O. C. Nwinyi, E. F. Ahuekwe, and A. O. Adeyemi. "Proximate Analyses of Watermelon and Pineapple Wastes as Substrates for Single-Cell Protein Production." In Bioenergy and Biochemical Processing Technologies. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96721-5_21.

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Zou, Ling, Sun Ming, and Di Zhang. "A New Method for Rapid Detection of the Volume and Quality of Watermelon Based on Processing of X-Ray Images." In Computer and Computing Technologies in Agriculture VIII. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19620-6_79.

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Fasuyi, N. O. "Microbial Quality of Watermelons Sold in Ota." In Bioenergy and Biochemical Processing Technologies. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96721-5_24.

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V, Sujitha, Uthira L, and Padmapriya V. "FORMULATION AND SHELF-LIFE ASSESSMENT OF WATERMELON (CITRULLUS LANATUS) SEEDS CHIKKI." In Futuristic Trends in Medical Sciences Volume 3 Book 8. Iterative International Publisher, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3bfms8p2ch2.

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Food production and consumption generate a significant amount of processing waste, with fruit waste accounting for a large portion. Cucurbits with thick rinds, such as watermelons, musk melons, and pumpkins, produce large amounts of waste during their consumption. However, using natural 'food waste,' such as seeds and peels, which are high in vital nutrients, is being promoted as a long-term solution to food insecurity. Watermelon seeds was chosen for this study because they are the most discarded fruit seed. The procured watermelon seed was analysed for its proximate composition which is composed of good amounts of protein and fat (28.3g and 47.2g/100g). Three different varieties of Chikkis were made from watermelon seeds, but Variation II is the one used for the proximate analysis of Chikkis because it had the highest mean score during the organoleptic evaluation. The carbohydrate and protein contents of the watermelon seed Chikkis were 52.5g and 14.1g per 100g respectively. Chikkis were packed in an air tight container and stored at room temperature to evaluate moisture loss or gain over a period of 50 days. Overall, the results suggest that the utilization and consumption of watermelon seeds can promote and preserve health and the use of watermelon seeds for consumption will be a step forward for sustainable development to reduce food waste.

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Elaine, Elaine, Wei Ting Ong Jess, and Kar Lin Nyam. "Watermelon seeds: nutritional profile, bioactivities, and application in food industry." In Valorization of Fruit Seed Waste from Food Processing Industry. Elsevier, 2024. http://dx.doi.org/10.1016/b978-0-443-15535-2.00004-9.

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Mayuri, Tipale, and Jadhav Balaji. "FRUIT WASTE'S POTENTIAL FOR PRODUCING BIOPOLYMERS." In Futuristic Trends in Agriculture Engineering & Food Sciences Volume 3 Book 1. Iterative International Publisher, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3bcagp1ch5.

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Fruit waste includes the unused part of fruit e.g. peel, pomace, and seed. Fruit waste composed of bioactive compounds, lipids and biopolymers. According to the FAO, harvesting, transportation, and processing account for 30% of total food loss. Mango produces the most waste followed by citrus fruits, passion fruit, and peas. The fruit peel and seed include biopolymers such as cellulose, hemicelluloses, starch, pectin, and lignin. Biopolymers are entirely derived from organic sources and are used in the development of bio based films. Traditional plastic can be replaced with bio based film. Synthetic plastic has useful features, but because it is not biodegradable, it harms the entire environment. Researchers produced a bio based packaging film out of biopolymers derived from fruit waste and utilized it for food packing. This chapter discusses the fruit waste obtained from orange, apple, banana, watermelon, and mango, as well as the biopolymers obtained from it.

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Conference papers on the topic "Watermelon processing"

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Karjagi, Shivaraj, Sneha Neelappagol, Sushmitha P. S, Vishruth S, and Veena Karjigi. "Watermelon Ripeness Detector Using Signal Processing." In 2022 IEEE Pune Section International Conference (PuneCon). IEEE, 2022. http://dx.doi.org/10.1109/punecon55413.2022.10014898.

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Zhang, C., Y. Wang, Y. Ma, X. Zhao, and W. Li. "Effect of ultra-high temperature processing on quality of watermelon juice." In 5th International Conference on Advanced Design and Manufacturing Engineering. Atlantis Press, 2015. http://dx.doi.org/10.2991/icadme-15.2015.120.

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Sun, Yong, Miao Guan, Daoqin Yu, and Jing Wang. "Algorithm of orthogonal bi-axle for auto-separating of watermelon seeds." In International Symposium on Multispectral Image Processing and Pattern Recognition, edited by S. J. Maybank, Mingyue Ding, F. Wahl, and Yaoting Zhu. SPIE, 2007. http://dx.doi.org/10.1117/12.750798.

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Ho, Ming-Jui, Yu-Chin Lin, Hsin-Chuan Hsu, and Tsung-Ying Sun. "An Efficient Recognition Method for Watermelon using Faster R-CNN with Post-Processing." In 2019 8th International Conference on Innovation, Communication and Engineering (ICICE). IEEE, 2019. http://dx.doi.org/10.1109/icice49024.2019.9117374.

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Phothisonothai, Montri, Suchada Tantisatirapong, and Apinan Aurasopon. "Automated determination of watermelon ripeness based on image color segmentation and rind texture analysis." In 2016 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS). IEEE, 2016. http://dx.doi.org/10.1109/ispacs.2016.7824766.

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Lebedev, V. A., A. Kh Kh Nugmanov, I. Yu Aleksanyan, L. M. Titova, and S. D. Rudnev. "Research into kinetic regularity of the process of convective and conductive oxygen-free drying of watermelon semi-finished product." In INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE “CURRENT ISSUES OF BIOLOGY, BREEDING, TECHNOLOGY AND PROCESSING OF AGRICULTURAL CROPS” (CIBTA2022) (To the 110th anniversary of V.S. Pustovoit All-Russian Research Institute of Oil Crops). AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0140259.

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Bandigamapalage, Wasana, Thilini Chandrasir, and Kolitha Wijesekara. "Preparation of a Low Cost Nutrient Bar Incorporated with Underutilized Seeds as a Convenient and Functional Meal Replacement Alternative D." In The SLIIT International Conference on Engineering and Technology 2022. Faculty of Engineering, SLIIT, 2022. http://dx.doi.org/10.54389/amfm1789.

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People with busy lifestyles routinely consume fast food as an easy alternative for main meal. Consequently, they prone to suffer from non-communicable diseases such as diabetics. The purpose of this research was to develop a nutritious bar as a meal replacement under the Recommended Dietary Allowances (RDA) using underutilized seeds such as pumpkin, winged beans, watermelon, corn, mung beans, and rice flakes. The proximate analysis, physicochemical properties, sensory attributes and microbiological parameters were evaluated using the Association of Official Agricultural Chemist standards (AOAC

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Yuan, Jiheng, and Victor Phan. "Development and Evaluation of an AI-Enabled Nutrient Intake Monitoring App for Obesity and Diabetes Prevention in Young People: A Comparative Study with Live Scanning and Photo-Uploading Methods." In 11th International Conference on Signal Image Processing and Multimedia. Academy and Industry Research Collaboration Center (AIRCC), 2023. http://dx.doi.org/10.5121/csit.2023.130918.

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Obesity and diabetes are prevalent health issues worldwide, especially among young people. To address this, an app was proposed to help users monitor their daily nutrient intake and prevent obesity and diabetes [1]. The app uses AI scanning to analyze the nutrient level of food and suggests a suitable daily nutrient intake for the user based on their age and gender. Data storage allows users to track their meal history and create a personalized diet plan [2]. The app was compared to similar systems, and it was found that live scanning is more intuitive and convenient than photo uploading. Addi

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Reports on the topic "Watermelon processing"

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Gal-On, Amit, Shou-Wei Ding, Victor P. Gaba, and Harry S. Paris. role of RNA-dependent RNA polymerase 1 in plant virus defense. United States Department of Agriculture, 2012. http://dx.doi.org/10.32747/2012.7597919.bard.

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Objectives: Our BARD proposal on the impact of RNA-dependent RNA polymerase 1 (RDR1) in plant defense against viruses was divided into four original objectives. 1. To examine whether a high level of dsRNA expression can stimulate RDR1 transcription independent of salicylic acid (SA) concentration. 2. To determine whether the high or low level of RDR1 transcript accumulation observed in virus resistant and susceptible cultivars is associated with viral resistance and susceptibility. 3. To define the biogenesis and function of RDR1-dependent endogenous siRNAs. 4. To understand why Cucumber mosai

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