Bibliografias temáticas / Citrus fruits Harvesting

Literatura científica selecionada sobre o tema "Citrus fruits Harvesting"

Autor: Grafiati

Publicado: 4 de junho de 2021

Última modificação: 31 de janeiro de 2023

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Artigos de revistas sobre o assunto "Citrus fruits Harvesting":

Xiao, Xu, Yaonan Wang e Yiming Jiang. "End-Effectors Developed for Citrus and Other Spherical Crops". Applied Sciences 12, n.º 15 (8 de agosto de 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 end-effector were explained in detail. Finally, a picking test was conducted without considering robot vision. The test results show that the end-effector has a picking success rate of 95.23% for citrus with a diameter of 30–100 mm and an average picking time of 4.65 s for a single fruit. This end-effector can realize the picking function for citrus of different sizes and shapes and has the advantages of high adaptability, stable gripping and no damage to the fruit.

Hanif, Zainuri, e 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, processing, and packaging, as well as distribution and markets, farmers experience food loss and waste of 13%, 10%, 4%, and 7% respectively. Postharvest losses were influenced by farmers' perceptions of selling citrus fruits, especially prices, cash payments and the frequency of delivery of citrus fruits. By knowing the critical point most detrimental, farmers can take action to minimize losses.

Deng, Jianxun. "Analysis and Recognition Based on Citrus Color Grading Model considering Computer Vision Technology". Advances in Multimedia 2021 (8 de dezembro de 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 characteristic values, and an exploratory data analysis process for the image data of citrus is established. In addition, 300 citrus images are selected, and the citrus fruits are segmented from the background through the simulation experiment. The results of the study indicate that the recognition rate for the maturity of citrus has exceeded 98%, which has proved the effectiveness of the method proposed in this paper.

Ortiz, Coral, Antonio Torregrosa e Sergio Castro-García. "Citrus Fruit Movement Assessment Related to Fruit Damage during Harvesting with an Experimental Low-Frequency–High-Amplitude Device". Agronomy 12, n.º 6 (31 de maio de 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 during harvesting, a higher impact level was observed due to the higher amplitude. The aim of this study was to analyze the fruit movement during the vibration with the experimental shaker compared to the movement when vibrating with an orchard tractor mounted trunk shaker related to the increase of slightly damaged fruit when using the experimental shaker. Fruit movement parameters (fruit distance, fruit displacement, speed and acceleration) when using the two harvesting systems (experimental shaker and trunk shaker) were compared analyzing the high-speed video recordings. Results showed that the higher vibration amplitude produced a maximum distance experienced by the fruits (maximum displacement of 0.135 m with the experimental shaker compared to 0.078 m with the trunk shaker) that could cause a higher damage level (74% of slightly damaged fruits using the experiemntal shaker compared to 14% using the trunk shaker).

Lu, Jun, Nong Sang, Ren Yuan Liang e Lin Chai. "Detection Citrus Fruits with Shadow within Tree Canopy by Image Fusion Method". Applied Mechanics and Materials 411-414 (setembro de 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.

Chen, Hong, Greg McCollum, Elizabeth Baldwin e Jinhe Bai. "Impacts of Huanglongbing Symptom Severity on Fruit Detachment Force and Mechanical Properties of Sweet Oranges (Citrus sinensis)". HortScience 51, n.º 4 (abril de 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 were lower in HLB-symptomatic fruits in comparison with AS fruits. On the other hand, puncture force, toughness, and deformation values, measured by a puncture test and representing peel toughness, were higher in HLB-symptomatic fruits than in the AS fruits. The results indicate that fruits from severely HLB-symptomatic sweet orange trees are more likely to have problems with preharvest fruit drop, and postharvest pressure damage and breakdown, but may have less puncture damage in harvesting, transportation, packing, and juice processing.

FUJIOKA, Yoshihiro, Yohei SAITO e 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 e 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 e 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 e Marcelo Barbosa Malgarim. "Application of chemical compounds during pre-harvesting to control post-harvesting green mold in citrus". Semina: Ciências Agrárias 42, n.º 4 (20 de maio de 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 commercial maturation, they were sanitized, half were pierced with a needle in the equatorial region. The fruits were inoculated with a 10 μL spore suspension (1 × 106 conidia mL-1) of P. digitatum, in the equatorial region. The experiment was performed with three replicates, each comprising 10 fruits and repeated over two consecutive crop seasons. Disease incidence was evaluated on pierced (at 72 and 144 h after inoculation [hai]) and unperforated (at 360 hai) fruits. For pierced fruits, lesion expansion rate (rL), disease severity, expansion rate of sporulating area (rE), and sporulating area were evaluated. The area under the disease progress curve (AUDPC) and the area under the sporulating area progress curve were calculated. Both cultivars were susceptible; however, the rL and rE had lower values for ‘Ortanique’. The tested products reduced the disease incidence in both cultivars. Potassium silicate reduced rL and rE, whereas sodium selenite reduced rE. The disease severity was reduced by potassium silicate, sodium selenite, and ASM. AUDPC was reduced by sodium selenite and potassium silicate treatments. Among the tested products, potassium silicate and sodium selenite applied during the pre-harvest of ‘Navelina’ orange and ‘Ortanique’ tangor had the highest reductions for disease incidence (ranging from 14% to 37%, respectively) and severity (60% and 70%, respectively), rE (50% for both compounds), and total sporulating area (55% and 56%, respectively), reducing the green mold in postharvested fruits caused by P. digitatum.

Mais fontes

Teses / dissertações sobre o assunto "Citrus fruits Harvesting":

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.

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)
x, 165 leaves : ill. (chiefly col.), plates ; 30 cm.
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.
Thesis (Ph.D.)--University of Adelaide, Dept. of Horticulture, Viticulture and Oenology, 2002

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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Livros sobre o assunto "Citrus fruits Harvesting":

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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Capítulos de livros sobre o assunto "Citrus fruits Harvesting":

Sarig, Y., e 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 e 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.

Albrigo, L. G., L. L. Stelinski e 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 e 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 e 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.

Trabalhos de conferências sobre o assunto "Citrus fruits Harvesting":

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 packing plant. Furthermore, the cullage removal rates will probably increase with further mechanization of harvesting and field handling. Paper published with permission.

Chen, Shumian, Juntao Xiong, Zhenfeng He, Jingmian Jiao, Zhiming Xie e 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 of a significant portion of the crop if labor becomes unavailable or too costly. Some picking aids have been implemented to increase the productivity of pickers, but their feasibility is questionable under current conditions. Renewed attempts have been made to mechanize the harvest since 1993. A harvesting program administrator was employed by the Florida Department of Citrus in January 1995 to develop a program which will insure the harvest of future crops at a competitive cost, Record crops, low fruit prices, steadily increasing harvest costs, and more regulations are predicted for the next decade. Paper published with permission.

Ehsani, Reza, Won Suk Lee e 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 available by 2011. It is expected that the trend in adoption of mechanical harvesting machines will accelerate if abscission compounds become commercially available. In addition to fruit, mechanical harvesting machines cause removal of leaves and branches, some percentage of which end up to the harvested load. Currently, the amount of trash, i.e. leaves and branches, in the mechanically harvested citrus load is considerably higher than when harvested by hand and is a major concern for juice processors. While these machines reduce the cost of harvesting and allow citrus growers to be more competitive in the global market, the large amount of fruit they can harvest in a short time can cause issues with load allocations. The implications resulting from these technologies are discussed in this paper, as well as initial results from a computer vision technique to quantify the trash in the load. Paper published with permission.

Changhui, Yang, Hu Youcheng, Huang Lin, Liu Sa e 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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Relatórios de organizações sobre o assunto "Citrus fruits Harvesting":

Burks, Thomas F., Victor Alchanatis e Warren Dixon. Enhancement of Sensing Technologies for Selective Tree Fruit Identification and Targeting in Robotic Harvesting Systems. United States Department of Agriculture, outubro de 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, spectral characteristics in the VIS/NIR (0.4-1.0 micron) will be used in conjunction with thermal data to provide accurate and robust detection of fruit in the tree canopy. Hyper-spectral image pairs will be combined to provide automatic stereo matching for accurate 3D position. Secondly, VIS/NIR/FIR (0.4-15.0 micron) spectral sensor technology will be evaluated for potential in-field on-the-tree grading of surface defect, maturity and size for selective fruit harvest. Thirdly, new adaptive Lyapunov-basedHBVS (homography-based visual servo) methods to compensate for camera uncertainty, distortion effects, and provide range to target from a single camera will be developed, simulated, and implemented on a camera testbed to prove concept. HBVS methods coupled with imagespace navigation will be implemented to provide robust target tracking. And finally, harvesting test will be conducted on the developed technologies using the University of Florida harvesting manipulator test bed. During the course of the project it was determined that the second objective was overly ambitious for the project period and effort was directed toward the other objectives. The results reflect the synergistic efforts of the three principals. The USA team has focused on citrus based approaches while the Israeli counterpart has focused on apples. The USA team has improved visual servo control through the use of a statistical-based range estimate and homography. The results have been promising as long as the target is visible. In addition, the USA team has developed improved fruit detection algorithms that are robust under light variation and can localize fruit centers for partially occluded fruit. Additionally, algorithms have been developed to fuse thermal and visible spectrum image prior to segmentation in order to evaluate the potential improvements in fruit detection. Lastly, the USA team has developed a multispectral detection approach which demonstrated fruit detection levels above 90% of non-occluded fruit. The Israel team has focused on image registration and statistical based fruit detection with post-segmentation fusion. The results of all programs have shown significant progress with increased levels of fruit detection over prior art.