Rossati, K.F., Andaló, V., Martins, G.D., Assis, G.A. de, Orlando, V.S.W., Arriero, L.P.M., Faria, L.S. de, & Zampiroli, R. 2025 Planococcus citri in coffee trees by supervised classification using multispectral images. Ciência Rural 55(8): e20240318

Keywords:

control

diagnosis

economic

survey

Notes: This study assessed the feasibility of using low-cost multispectral images, obtained by drones, for the early detection of Planococcus citri infestation in coffee plants, utilizing machine learning classifiers. This study seeks to contribute to more efficient pest management in coffee crops, promoting more sustainable agricultural practices. http://doi.org/10.1590/0103-8478cr20240318

Download PDF