Precision coffee growing: A review

Authors

  • Lucas Santos Santana Universidade Federal de Lavras/UFLA, Departamento de Engenharia Agrícola, Lavras, MG, Brasil. https://orcid.org/0000-0001-7489-3225
  • Gabriel Araújo e Silva Ferraz Universidade Federal de Lavras/UFLA, Departamento de Engenharia Agrícola, Lavras, MG, Brasil. https://orcid.org/0000-0001-6403-2210
  • Sthéfany Airane dos Santos Universidade Federal de Lavras/UFLA, Departamento de Engenharia Agrícola, Lavras, MG, Brasil. https://orcid.org/0000-0003-2262-2663
  • Jessica Ellen Lima Dias Faculty of Agricultural and Life Sciences/MKK, Szent Istvan University SZIE, Gödöllő, Condado de Peste, Hungary. https://orcid.org/0000-0003-3567-5625

DOI:

https://doi.org/10.25186/.v17i.2007

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 management 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.

Key words: Digital agriculture; spatial variability; sustainability of cultivation; remote sensing; Sensors.

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Published

2022-09-21

How to Cite

SANTANA, L. S.; FERRAZ, G. A. e S.; SANTOS, S. A. dos .; DIAS, J. E. L. . Precision coffee growing: A review. Coffee Science - ISSN 1984-3909, [S. l.], v. 17, p. e172007, 2022. DOI: 10.25186/.v17i.2007. Disponível em: http://www.coffeescience.ufla.br/index.php/Coffeescience/article/view/2007. Acesso em: 9 dec. 2022.

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Article Review