Source: Smart Agricultural Technology. Unidade: ESALQ
Subjects: AGRICULTURA DE PRECISÃO, APRENDIZADO COMPUTACIONAL, FERTILIZANTES NITROGENADOS, INTELIGÊNCIA ARTIFICIAL, NITROGÊNIO, TOMADA DE DECISÃO, TRIGO
ABNT
RICHETTI, Jonathan e COLAÇO, Andre Freitas e LAWES, Roger A. A first step towards data ecosystem design for AI in agriculture: a case study assessing variable importance for optimising nitrogen decision-making in wheat. Smart Agricultural Technology, v. 12, p. 1-10, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.atech.2025.101431. Acesso em: 27 nov. 2025.APA
Richetti, J., Colaço, A. F., & Lawes, R. A. (2025). A first step towards data ecosystem design for AI in agriculture: a case study assessing variable importance for optimising nitrogen decision-making in wheat. Smart Agricultural Technology, 12, 1-10. doi:10.1016/j.atech.2025.101431NLM
Richetti J, Colaço AF, Lawes RA. A first step towards data ecosystem design for AI in agriculture: a case study assessing variable importance for optimising nitrogen decision-making in wheat [Internet]. Smart Agricultural Technology. 2025 ; 12 1-10.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.atech.2025.101431Vancouver
Richetti J, Colaço AF, Lawes RA. A first step towards data ecosystem design for AI in agriculture: a case study assessing variable importance for optimising nitrogen decision-making in wheat [Internet]. Smart Agricultural Technology. 2025 ; 12 1-10.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.atech.2025.101431
