Explainability and privacy in AI-enabled crop monitoring: Trends and future directions in soybean research
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@online{jayme_garcia_arnal2026,
author = {Jayme Garcia Arnal , Barbedo and Silva, Marcelo Santos, Da
and Mirela Teixeira , Cazzolato and Lucas Pascotti , Valem and
Renato , Tinós and Roseli Aparecida Francelin , Romero and Luiz
Otavio , Murta and Jesus Holanda, Adriano, De and Joaquim Cezar ,
Felipe and José Baldin , Pinheiro and José Tiago Barroso , Chagas
and Silva, Roberto Fray, Da and Everton Castelão , Tetila and Castro
Jorge, Lucio Andre, De and Huaqiang , Yuan and Weiling , Li and
Ketan , Kotecha and Liang , Zhao},
title = {Explainability and privacy in AI-enabled crop monitoring:
Trends and future directions in soybean research},
volume = {243},
date = {2026-03-01},
doi = {10.1016/j.compag.2025.111392},
langid = {pt-BR},
abstract = {Resumo não disponível.}
}
Por favor, cite este trabalho como:
Jayme Garcia Arnal, Barbedo, Da Silva, Marcelo Santos, Cazzolato Mirela
Teixeira, Valem Lucas Pascotti, Tinós Renato, Romero Roseli Aparecida
Francelin, Murta Luiz Otavio, et al. 2026. “Explainability and
privacy in AI-enabled crop monitoring: Trends and future directions in
soybean research.” Computers and Electronics in Agriculture.
March 1, 2026. https://doi.org/10.1016/j.compag.2025.111392.