Yield map generation of perennial crops for fresh consumption.

Yield mapping technologies can help to increase the quantity and quality of agricultural production. Current systems only focus on the quantifcation of the harvest, but the quality has equal or greater importance in some perennial crops and impacts directly on the financial proftability. Therefore, a system was developed to quantify and relate the quality obtained in the classifcation 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 diferent 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 identifcation of the efciency 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.

Bibliographic Details

Main Authors:	BAZZI, C. L., MARTINS, M. R., CORDEIRO, B. E., GEBLER, L., SOUZA, E. G. de, SCHENATTO, K., PAULA FILHO, P. L. de, SOBJAK, R.
Other Authors:	CLAUDIO LEONES BAZZI, Claudio Leones Bazzi bazzi@utfpr.edu.br 1 Computer Science Department, Federal University of Technology of Paraná (UTFPR), Medianeira, Paraná, Brazil; MICHEL ROSIN MARTINS, Computer Science Department, Federal University of Technology of Paraná (UTFPR), Medianeira, Paraná, Brazil; BRUNO EDUARDO CORDEIRO, Computer Science Department, Federal University of Technology of Paraná (UTFPR), Medianeira, Paraná, Brazil; LUCIANO GEBLER, CNPUV; EDUARDO GODOY DE SOUZA, PGEAGRI, Technological and Exact Sciences Center, Western Paraná State University (UNIOESTE), Cascavel, Paraná, Brazil; KELYN SCHENATTO, Computer Science Department, Federal University of Technology of Paraná (UTFPR), Medianeira, Paraná, Brazil; PEDRO LUIZ DE PAULA FILHO, Computer Science Department, Federal University of Technology of Paraná (UTFPR), Medianeira, Paraná, Brazil; RICARDO SOBJAK, Computer Science Department, Federal University of Technology of Paraná (UTFPR), Medianeira, Paraná, Brazil.
Format:	Artigo de periódico biblioteca
Language:	Ingles English
Published:	2021-10-05
Subjects:	AgDataBox, Perennial, Yield maps, Manual harvest, Apples,
Online Access:	http://www.alice.cnptia.embrapa.br/alice/handle/doc/1135039
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