Explainability and privacy in AI-enabled crop monitoring: Trends and future directions in soybean research
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BibTeX
@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, et al. 2026. “Explainability and privacy in AI-enabled
crop monitoring: Trends and future directions in soybean
research.” Vol. 243. Computers and Electronics in Agriculture,
March 1. https://doi.org/10.1016/j.compag.2025.111392.