Impact of soil types on sugarcane development monitored over time by remote sensing (2022)
- Authors:
- USP affiliated authors: DEMATTE, JOSE ALEXANDRE MELO - ESALQ ; AMORIM, MERILYN TAYNARA ACCORSI - ESALQ ; CAMPOS, LUCAS RABELO - ESALQ ; SILVERO, NÉLIDA ELIZABET QUIÑONEZ - ESALQ ; GÓMEZ, ANDRÉS MAURICIO RICO - ESALQ ; GÓMEZ, ANDRÉS MAURICIO RICO - ESALQ ; GRESCHUK, LUCAS TADEU - ESALQ
- Unidade: ESALQ
- DOI: 10.1007/s11119-022-09896-1
- Subjects: CANA-DE-AÇÚCAR; DESENVOLVIMENTO VEGETAL; SENSORIAMENTO REMOTO; SOLOS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Heidelberg
- Date published: 2022
- Source:
- Título do periódico: Precision Agriculture
- ISSN: 1385-2256
- Volume/Número/Paginação/Ano: p. 1-21, March 2022
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
AMORIM, Merilyn Taynara Accorsi et al. Impact of soil types on sugarcane development monitored over time by remote sensing. Precision Agriculture, p. 1-21, 2022Tradução . . Disponível em: https://doi.org/10.1007/s11119-022-09896-1. Acesso em: 20 maio 2024. -
APA
Amorim, M. T. A., Silvero, N. E. Q., Bellinaso, H., Gómez, A. M. R., Greschuk, L. T., Campos, L. R., & Demattê, J. A. M. (2022). Impact of soil types on sugarcane development monitored over time by remote sensing. Precision Agriculture, 1-21. doi:10.1007/s11119-022-09896-1 -
NLM
Amorim MTA, Silvero NEQ, Bellinaso H, Gómez AMR, Greschuk LT, Campos LR, Demattê JAM. Impact of soil types on sugarcane development monitored over time by remote sensing [Internet]. Precision Agriculture. 2022 ; 1-21.[citado 2024 maio 20 ] Available from: https://doi.org/10.1007/s11119-022-09896-1 -
Vancouver
Amorim MTA, Silvero NEQ, Bellinaso H, Gómez AMR, Greschuk LT, Campos LR, Demattê JAM. Impact of soil types on sugarcane development monitored over time by remote sensing [Internet]. Precision Agriculture. 2022 ; 1-21.[citado 2024 maio 20 ] Available from: https://doi.org/10.1007/s11119-022-09896-1 - Digital mapping of the soil available water capacity: insights for the resilience of agricultural systems to climate change
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- Soil parent material prediction through satellite multispectral analysis on a regional scale at the Western Paulista Plateau, Brazil
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Informações sobre o DOI: 10.1007/s11119-022-09896-1 (Fonte: oaDOI API)
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