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Data do documentoTítuloAutor(es)
Nov-2021Coffee rust forecast systems: development of a warning platform in a Minas Gerais state, BrazilPozza, Edson Ampélio; Santos, Éder Ribeiro dos; Gaspar, Nilva Alice; Vilela, Ximena Maira de Souza; Alves, Marcelo de Carvalho; Colares, Mário Roberto Nogueira
Jan-2022Using computer vision to identify seed-borne fungi and other targets associated with common bean seeds based on red–green–blue spectral dataPozza, Edson Ampélio; Alves, Marcelo de Carvalho; Sanches, Luciana
Out-2021Insights for improving bacterial blight management in coffee field using spatial big data and machine learningAlves, Marcelo de Carvalho; Pozza, Edson Ampélio; Sanches, Luciana; Belan, Leonidas Leoni; Freitas, Marcelo Loran de Oliveira
Set-2022The role of machine learning on Arabica coffee crop yield based on remote sensing and mineral nutrition monitoringAlves, Marcelo de Carvalho; Sanches, Luciana; Pozza, Edson Ampélio; Pozza, Adélia A. A.; Silva, Fábio Moreira da
Jul-2020Relationship between Sentinel-2 orbital data and in situ monitoring of coffee rustCortez, Matheus Luiz Jorge; Alves, Marcelo de Carvalho; Carvalho, Gladyston Rodrigues; Pozza, Edson Ampélio
Mar-2020Detection of coffee berry necrosis by digital image processing of landsat 8 oli satellite imageryMiranda, Jonathan da Rocha; Alves, Marcelo de Carvalho; Pozza, Edson Ampélio; Santos Neto, Helon
Abr-2020Multispectral radiometric characterization of coffee rust epidemic in different irrigation management systemsPires, Miryan Silva de Oliveira; Alves, Marcelo de Carvalho; Pozza, Edson Ampélio