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Álvarez Arango, D. ., & Hincapié Llanos, C. A. . (2021). Selección de tecnologías adaptables para la cosecha de cítricos cultivados en ladera en Colombia. Revista Mutis, 11(2), 44–55. https://doi.org/10.21789/22561498.1754
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Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0.
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0.
Resumen
En el presente trabajo se identificaron las principales tecnologías existentes en el mundo para la cosecha de cítricos, especialmente limón Tahití (Citrus x latifolia Tanaka Ex Q. Jiménez). A partir de una búsqueda bibliográfica, se establecieron los criterios más importantes para la adaptabilidad de dichas tecnologías a los cultivos en zona de ladera en Colombia. Se revisaron diferentes bases de datos y se identificaron resultados de diversos países con una participación importante en el mercado global de cítricos. Posteriormente, se aplicó un proceso analítico de jerarquización (AHP) para determinar la tecnología más adaptable según los criterios establecidos. Los resultados mostraron como tendencia tecnológica más apropiada la aplicación de soluciones robotizadas para la cosecha de cítricos.
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Aguilar-Niño, P., Escobar-Quijano, M. J., & Pássaro-Carvalho, C. P. (2012). Situación actual de la cadena de cítricos en Colombia: limitantes y perspectivas. En L. F. Garcés-Giraldo (ed.), Cítricos: cultivo, poscosecha e industrialización (pp. 7-47). Corporación Universitaria Lasallista.
Aloisio, C., Mishra, R. K., Chang, C. Y., & English, J. (2012). Next generation image guided citrus fruit picker. 2012 IEEE Conference on Technologies for Practical Robot Applications (TePRA), 2012, 37-41. https://doi.org/10.1109/TePRA.2012.6215651
Bachche, S. (2015). Deliberation on design strategies of automatic harvesting systems: A survey. Robotics, 4(2), 194-222. https://doi.org/10.3390/robotics4020194
Bassan, M. M., Mourão-Filho, F. A. A., Caron, V. C., Couto, H. T. Z., & Jacomino, A. P. (2013). The harvesting system affects the quality and conservation of the ‘Tahiti’ acid lime. Scientia Horticulturae, 155, 72-77. https://doi.org/10.1016/j.scienta.2013.03.008
Coppock, G. (1961). Picking citrus fruit by mechanical means. Florida State Horticultural Society Proceedings, 1362, 247-251. https://journals.flvc.org/fshs/article/download/101013/96957
Cubero, S., Aleixos, N., Albert, F., Torregrosa, A., Ortiz, C., García-Navarrete, O., & Blasco, J. (2014). Optimised computer vision system for automatic pre-grading of citrus fruit in the field using a mobile platform. Precision Agriculture, 15(1), 80-94. https://doi.org/10.1007/s11119-013-9324-7
Cubero, S., Lee, W. S., Aleixos, N., Albert, F., & Blasco, J. (2016). Automated systems based on machine vision for inspecting citrus fruits from the field to postharvest — A Review. Food and Bioprocess Technology, 9, 1623-1639. https://doi.org/10.1007/s11947-016-1767-1
Cui, H., Zhou, H., Xu, L., & Cui, Y. (2010). CN101982039A. Nantong Guangyi Electromechanical Co. Ltd, China.
Ferreira, M. D., Sanchez, A. C., Braunbeck, O. A., & Santos, E. A. (2018). Harvesting fruits using a mobile platform: A case study applied to citrus. Engenharia Agricola, 38(2), 293-299. https://doi.org/10.1590/1809-4430-Eng.Agric.v38n2p293-299/2018
Futch, S. H., & Roka, F. M. (2005). Continuous canopy shake mechanical harvesting systems. University of Florida. https://ufdcimages.uflib.ufl.edu/IR/00/00/27/32/00001/HS23900.pdf
Gómez, B. G., Caicedo, A. A., & Gil, V. L. F. (comp.) (2008). Tecnología para el cultivo de cítricos en la región Caribe colombiana. Corporacion Colombiana de Investigacion Agropecuaria. https://doi.org/10.21930/978-958-8311-91-3
Hedden, S., & Coppock, G. (1968). Effects of the tree shaker harvest system on subsequent citrus yields. Florida State Horticultural Society Proceedings, 81, 48-52. http://journals.fcla.edu/fshs/article/viewFile/99937/95907
Kuznetsova, A. A. (2020). Rational Pricing of fruit-harvesting robots. Proceedings of 13th International Conference Management of Large-Scale System Development, MLSD 2020, 1-4. https://doi.org/10.1109/MLSD49919.2020.9247787
Li, B., Zhou, A., Yang, C., & Zheng, S. (2016). The design and realization of fruit harvesting robot based on IOT. Proceedings of the 2016 International Conference on Computer Engineering, Information Science & Application Technology (ICCIA), 2016. https://doi.org/10.2991/iccia-16.2016.29
Li, P., Lee, S. H., & Hsu, H. Y. (2011). Review on fruit harvesting method for potential use of automatic fruit harvesting systems. Procedia Engineering, 23, 351-366. https://doi.org/10.1016/j.proeng.2011.11.2514
Mehta, S. S., & Burks, T. F. (2014). Vision-based control of robotic manipulator for citrus harvesting. Computers and Electronics in Agriculture, 102, 146-158. https://doi.org/10.1016/j.compag.2014.01.003
Ministerio de Agricultura y Desarrollo Rural [MADR]. (2020). Cadena del cítricos, Indicadores e instrumentos. Primer semestre 2020. MADR. https://sioc.minagricultura.gov.co/Citricos/Documentos/2020-03-30 Cifras Sectoriales.pdf
Organización para la Cooperación y el Desarrollo Económicos [OCDE]. (2015). Revisión de la OCDE de las políticas agrícolas: Colombia 2015. OCDE. https://www.oecd.org/colombia/Colombia-Revision-OCDE-Politicas-Agricolas-2015.pdf
Pássaro, C., Navarro, P., & Aguilar, A. (2012). Poscosecha. En L. F. Garcés-Giraldo (Ed.), Cítricos: cultivo, poscosecha e industrialización (pp. 223-284). Corporación Universitaria Lasallista.
Peng, H., Shao, Y., Hu, Y., Wu, D., Chen, Y., & Lin, G. (2018). Maturity analysis of citrus based on machine vision and android mobile platform technology. Proceedings 3rd International Conference on Intelligent Transportation, Big Data and Smart City (ICITBS), 2018. https://doi.org/10.1109/ICITBS.2018.00088
Puerta-Polanco, F. M. (2007). Maquinaria y mecanización agrícola. UNAD. https://www.academia.edu/download/53141885/201619.pdf
Qinghai, L. (2017). CN108076832A. China.
Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1(1), 83. https://doi.org/10.1504/IJSSCI.2008.017590
Takashi, T. (1984). US4663925A. Kubota Corp, EE. UU.
United States Department of Agriculture [USDA]. (2021). Citrus: world markets and trade. USDA. https://apps.fas.usda.gov/psdonline/circulars/Citrus.pdf
Vidal, A., Talens, P., Prats-Montalbán, J. M., Cubero, S., Albert, F., & Blasco, J. (2013). In-line estimation of the standard colour index of citrus fruits using a computer vision system developed for a mobile platform. Food and Bioprocess Technology, 6(12), 3412-3419. https://doi.org/10.1007/s11947-012-1015-2
Ward, G. (2003). New mechanical and robotic harvesting technologies to increase fruit production efficiency. Department of Agriculture, Government of Western Australia.
Aloisio, C., Mishra, R. K., Chang, C. Y., & English, J. (2012). Next generation image guided citrus fruit picker. 2012 IEEE Conference on Technologies for Practical Robot Applications (TePRA), 2012, 37-41. https://doi.org/10.1109/TePRA.2012.6215651
Bachche, S. (2015). Deliberation on design strategies of automatic harvesting systems: A survey. Robotics, 4(2), 194-222. https://doi.org/10.3390/robotics4020194
Bassan, M. M., Mourão-Filho, F. A. A., Caron, V. C., Couto, H. T. Z., & Jacomino, A. P. (2013). The harvesting system affects the quality and conservation of the ‘Tahiti’ acid lime. Scientia Horticulturae, 155, 72-77. https://doi.org/10.1016/j.scienta.2013.03.008
Coppock, G. (1961). Picking citrus fruit by mechanical means. Florida State Horticultural Society Proceedings, 1362, 247-251. https://journals.flvc.org/fshs/article/download/101013/96957
Cubero, S., Aleixos, N., Albert, F., Torregrosa, A., Ortiz, C., García-Navarrete, O., & Blasco, J. (2014). Optimised computer vision system for automatic pre-grading of citrus fruit in the field using a mobile platform. Precision Agriculture, 15(1), 80-94. https://doi.org/10.1007/s11119-013-9324-7
Cubero, S., Lee, W. S., Aleixos, N., Albert, F., & Blasco, J. (2016). Automated systems based on machine vision for inspecting citrus fruits from the field to postharvest — A Review. Food and Bioprocess Technology, 9, 1623-1639. https://doi.org/10.1007/s11947-016-1767-1
Cui, H., Zhou, H., Xu, L., & Cui, Y. (2010). CN101982039A. Nantong Guangyi Electromechanical Co. Ltd, China.
Ferreira, M. D., Sanchez, A. C., Braunbeck, O. A., & Santos, E. A. (2018). Harvesting fruits using a mobile platform: A case study applied to citrus. Engenharia Agricola, 38(2), 293-299. https://doi.org/10.1590/1809-4430-Eng.Agric.v38n2p293-299/2018
Futch, S. H., & Roka, F. M. (2005). Continuous canopy shake mechanical harvesting systems. University of Florida. https://ufdcimages.uflib.ufl.edu/IR/00/00/27/32/00001/HS23900.pdf
Gómez, B. G., Caicedo, A. A., & Gil, V. L. F. (comp.) (2008). Tecnología para el cultivo de cítricos en la región Caribe colombiana. Corporacion Colombiana de Investigacion Agropecuaria. https://doi.org/10.21930/978-958-8311-91-3
Hedden, S., & Coppock, G. (1968). Effects of the tree shaker harvest system on subsequent citrus yields. Florida State Horticultural Society Proceedings, 81, 48-52. http://journals.fcla.edu/fshs/article/viewFile/99937/95907
Kuznetsova, A. A. (2020). Rational Pricing of fruit-harvesting robots. Proceedings of 13th International Conference Management of Large-Scale System Development, MLSD 2020, 1-4. https://doi.org/10.1109/MLSD49919.2020.9247787
Li, B., Zhou, A., Yang, C., & Zheng, S. (2016). The design and realization of fruit harvesting robot based on IOT. Proceedings of the 2016 International Conference on Computer Engineering, Information Science & Application Technology (ICCIA), 2016. https://doi.org/10.2991/iccia-16.2016.29
Li, P., Lee, S. H., & Hsu, H. Y. (2011). Review on fruit harvesting method for potential use of automatic fruit harvesting systems. Procedia Engineering, 23, 351-366. https://doi.org/10.1016/j.proeng.2011.11.2514
Mehta, S. S., & Burks, T. F. (2014). Vision-based control of robotic manipulator for citrus harvesting. Computers and Electronics in Agriculture, 102, 146-158. https://doi.org/10.1016/j.compag.2014.01.003
Ministerio de Agricultura y Desarrollo Rural [MADR]. (2020). Cadena del cítricos, Indicadores e instrumentos. Primer semestre 2020. MADR. https://sioc.minagricultura.gov.co/Citricos/Documentos/2020-03-30 Cifras Sectoriales.pdf
Organización para la Cooperación y el Desarrollo Económicos [OCDE]. (2015). Revisión de la OCDE de las políticas agrícolas: Colombia 2015. OCDE. https://www.oecd.org/colombia/Colombia-Revision-OCDE-Politicas-Agricolas-2015.pdf
Pássaro, C., Navarro, P., & Aguilar, A. (2012). Poscosecha. En L. F. Garcés-Giraldo (Ed.), Cítricos: cultivo, poscosecha e industrialización (pp. 223-284). Corporación Universitaria Lasallista.
Peng, H., Shao, Y., Hu, Y., Wu, D., Chen, Y., & Lin, G. (2018). Maturity analysis of citrus based on machine vision and android mobile platform technology. Proceedings 3rd International Conference on Intelligent Transportation, Big Data and Smart City (ICITBS), 2018. https://doi.org/10.1109/ICITBS.2018.00088
Puerta-Polanco, F. M. (2007). Maquinaria y mecanización agrícola. UNAD. https://www.academia.edu/download/53141885/201619.pdf
Qinghai, L. (2017). CN108076832A. China.
Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1(1), 83. https://doi.org/10.1504/IJSSCI.2008.017590
Takashi, T. (1984). US4663925A. Kubota Corp, EE. UU.
United States Department of Agriculture [USDA]. (2021). Citrus: world markets and trade. USDA. https://apps.fas.usda.gov/psdonline/circulars/Citrus.pdf
Vidal, A., Talens, P., Prats-Montalbán, J. M., Cubero, S., Albert, F., & Blasco, J. (2013). In-line estimation of the standard colour index of citrus fruits using a computer vision system developed for a mobile platform. Food and Bioprocess Technology, 6(12), 3412-3419. https://doi.org/10.1007/s11947-012-1015-2
Ward, G. (2003). New mechanical and robotic harvesting technologies to increase fruit production efficiency. Department of Agriculture, Government of Western Australia.
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