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Precision coffee growing: a review

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dc.contributor.author Santana, Lucas Santos
dc.contributor.author Ferraz, Gabriel Araújo e Silva
dc.contributor.author Santos, Sthéfany Airane dos
dc.contributor.author Dias, Jessica Ellen Lima
dc.date.accessioned 2022-12-30T22:17:42Z
dc.date.available 2022-12-30T22:17:42Z
dc.date.issued 2022-06-09
dc.identifier.citation SANTANA, Lucas Santos; FERRAZ, Gabriel Araújo e Silva; SANTOS, Sthéfany Airane dos; DIAS, Jessica Ellen Lima. Precision coffee growing: a review. Coffee Science, Lavras, v. 17, p. 1-19, 9 june 2022. Disponível em: http://www.coffeescience.ufla.br/index.php/Coffeescience. Acesso em: 20 dec. 2022. pt_BR
dc.identifier.issn 1984-3909
dc.identifier.uri Doi: https://doi.org/10.25186/.v17i.2007 pt_BR
dc.identifier.uri http://www.sbicafe.ufv.br/handle/123456789/13726
dc.description.abstract Precision Agriculture (PA) technologies introduction in coffee-growing is becoming essential to advances in sustainable cultivation and increase in output. Applications that involve PA techniques in coffee production are defined now as Precision Coffee growing (PC). Systematically explored, studies on the subject contribute to improvements in the area, relating soil variability to its impacts on plants. The PC’s scientific approach offers new forms of manage-ment and more security in coffee production. Aimed at reducing pesticides application and nutrients to the soil, contributing to sustainable development in coffee production. Initially, the research on coffee production had dealt with soil spatial variability, highlighting the geostatistical methods and specific ways to sample the soil. With technological advances in agriculture, new ways of monitoring spatial variability are available. In this context, studies are arising on spatial variability related to the plant, applying terrestrial, aerial and orbital sensors, possibly creating perspectives for monitoring and mapping coffee production. Artificial intelligence, Remotely Piloted Aircraft (ARP) products, harvesting yield sensors, automatic grain classifiers, and remote sensing stand out as new technologies under development in coffee production. These applications in PC involving multidisciplinary research demonstrate new relevant ways of improving crop managing and sustainability guaranteeing. pt_BR
dc.format pdf pt_BR
dc.language.iso en pt_BR
dc.publisher Universidade Federal de Lavras pt_BR
dc.relation.ispartofseries Coffee Science;v. 17, p. 1-19, 2022;
dc.rights Open Access pt_BR
dc.subject Digital agriculture pt_BR
dc.subject spatial variability pt_BR
dc.subject sustainability of cultivation pt_BR
dc.subject remote sensing pt_BR
dc.subject Sensor pt_BR
dc.subject.classification Cafeicultura::Implantação e manejo da lavoura pt_BR
dc.title Precision coffee growing: a review pt_BR
dc.type Artigo pt_BR

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