Interspecies prediction of nitrogen content in processed plant samples using spectroscopic modeling and transfer learning (2026)
- Authors:
- USP affiliated authors: DEMATTE, JOSE ALEXANDRE MELO - ESALQ ; FIORIO, PETERSON RICARDO - ESALQ ; SILVA, CARLOS AUGUSTO ALVES CARDOSO - ESALQ ; RIZZO, RODNEI - ESALQ ; OLIVEIRA, ANA KARLA DA SILVA - ESALQ ; CASTRO, MARIA PATRICIA PEREIRA - ESALQ ; ALEXANDRE, MARTA LAURA DE SOUZA - ESALQ ; LIMA, IZABELLE DE LIMA E - ESALQ
- Unidade: ESALQ
- DOI: 10.1002/fes3.70195
- Subjects: AGRICULTURA DE PRECISÃO; APRENDIZADO COMPUTACIONAL; DIAGNOSE FOLIAR; ESPECTROSCOPIA; FERTILIZANTES NITROGENADOS; NITROGÊNIO; PLANTAS CULTIVADAS; SUSTENTABILIDADE
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Food and Energy Security
- ISSN: 2048-3694
- Volume/Número/Paginação/Ano: v. 15, art. e70195, p. 1-12, 2026
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
SILVA, Carlos Augusto Alves Cardoso et al. Interspecies prediction of nitrogen content in processed plant samples using spectroscopic modeling and transfer learning. Food and Energy Security, v. 15, p. 1-12, 2026Tradução . . Disponível em: https://doi.org/10.1002/fes3.70195. Acesso em: 12 fev. 2026. -
APA
Silva, C. A. A. C., Rizzo, R., Oliveira, A. K. da S., Castro, M. P. P., Alexandre, M. L. de S., Lima, I. de L. e, et al. (2026). Interspecies prediction of nitrogen content in processed plant samples using spectroscopic modeling and transfer learning. Food and Energy Security, 15, 1-12. doi:10.1002/fes3.70195 -
NLM
Silva CAAC, Rizzo R, Oliveira AK da S, Castro MPP, Alexandre ML de S, Lima I de L e, Demattê AM, Fiorio PR. Interspecies prediction of nitrogen content in processed plant samples using spectroscopic modeling and transfer learning [Internet]. Food and Energy Security. 2026 ; 15 1-12.[citado 2026 fev. 12 ] Available from: https://doi.org/10.1002/fes3.70195 -
Vancouver
Silva CAAC, Rizzo R, Oliveira AK da S, Castro MPP, Alexandre ML de S, Lima I de L e, Demattê AM, Fiorio PR. Interspecies prediction of nitrogen content in processed plant samples using spectroscopic modeling and transfer learning [Internet]. Food and Energy Security. 2026 ; 15 1-12.[citado 2026 fev. 12 ] Available from: https://doi.org/10.1002/fes3.70195 - Sugarcane (Saccharum officinarum) productivity estimation using multispectral sensors in RPAs, biometric variables, and vegetation indices
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Informações sobre o DOI: 10.1002/fes3.70195 (Fonte: oaDOI API)
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