Abstract
Yield mapping technologies can help to increase the quantity and quality of agricultural production. Current systems only focus on the quantification of the harvest, but the quality has equal or greater importance in some perennial crops and impacts directly on the financial profitability. Therefore, a system was developed to quantify and relate the quality obtained in the classification line with the plants of the orchard and for decision-making. The system is comprised of hardware, which obtains the location of the harvester bag during harvesting and unloading at the unloading site, and software that processes the collected data. The cloud of real-time data contributed from the different collectors (bins) allows the construction of yield maps, considering the multi-stage harvesting system. Further, the system enables the creation of a detailed map of the plants and fruits harvested. As the harvest focuses on quality, it takes place in stages, depending on the ripening of the fruits. In addition to the yield maps, the system allows identification of the efficiency of each worker undertaking the harvest by the number of performed discharges and by the time spent. The system was developed in partnership with the Federal Technological University of Paraná and Embrapa Uva & Vinho and was tested in apple orchards in southern Brazil. Although the system was evaluated with only data from apple cultivation, monitoring the quality and quantifying other orchard fruits can positively impact the fruit sector.
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Funding
Funding was provided by Ministério da Agricultura, Pecuária e Abastecimento - MAPA, Conselho Nacional de Desenvolvimento Científico e Tecnológico - CNPQ (Grant No. 309983/2020-7), Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES, Embrapa and Universidade Tecnológica Federal do Paraná - UTFPR.
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Bazzi, C.L., Martins, M.R., Cordeiro, B.E. et al. Yield map generation of perennial crops for fresh consumption. Precision Agric 23, 698–711 (2022). https://doi.org/10.1007/s11119-021-09855-2
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DOI: https://doi.org/10.1007/s11119-021-09855-2