Artificial neural networks as a tool for seasonal forecast of attack intensity of Spodoptera spp. in Bt soybean.

Autor: de França LC; Limagrain Sementes, Goianésia, Goiás, 76380-000, Brazil., Pereira PS; Department of Entomology, Federal University of Viçosa, Viçosa, Minas Gerais, 36570-900, Brazil., Sarmento RA; Graduate Programme in Biotechnology and Biodiversity, Rede Bionorte, Federal University of Tocantins, Palmas, Tocantins, 77650-000, Brazil., Barreto AB; Department of Entomology, Federal University of Viçosa, Viçosa, Minas Gerais, 36570-900, Brazil. alice.barbutti@ufv.br., da Silva Paes J; Department of Plant Science, Federal University of Viçosa, Viçosa, Minas Gerais, 36570-900, Brazil., do Carmo DDG; Department of Plant Science, Federal University of Viçosa, Viçosa, Minas Gerais, 36570-900, Brazil., de Souza HDD; Graduate Programme in Biotechnology and Biodiversity, Rede Bionorte, Federal University of Tocantins, Palmas, Tocantins, 77650-000, Brazil., Picanço MC; Department of Entomology, Federal University of Viçosa, Viçosa, Minas Gerais, 36570-900, Brazil.; Department of Plant Science, Federal University of Viçosa, Viçosa, Minas Gerais, 36570-900, Brazil.

Publikováno v: International journal of biometeorology [Int J Biometeorol] 2024 Nov; Vol. 68 (11), pp. 2387-2398. Date of Electronic Publication: 2024 Aug 13.