Cotton nitrogen uptake estimation for in-season fertilizer management based on proximal digital image analysis (2021)
- Authors:
- USP affiliated authors: MOLIN, JOSE PAULO - ESALQ ; TAVARES, TIAGO RODRIGUES - ESALQ
- Unidade: ESALQ
- DOI: 10.3920/978-90-8686-916-9_52
- Subjects: ALGODÃO; FERTILIZANTES NITROGENADOS; IMAGEM DIGITAL; NITROGÊNIO
- Language: Inglês
- Imprenta:
- Publisher: Wageningen Academic Publishers
- Publisher place: Wageningen
- Date published: 2021
- Source:
- Título do periódico: Precision agriculture ’21
- Volume/Número/Paginação/Ano: 986 p
- Conference titles: European Conference on Precision Agriculture - ECPA
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
PORTZ, G et al. Cotton nitrogen uptake estimation for in-season fertilizer management based on proximal digital image analysis. Precision agriculture ’21. Tradução . Wageningen: Wageningen Academic Publishers, 2021. . Disponível em: https://doi.org/10.3920/978-90-8686-916-9_52. Acesso em: 31 maio 2024. -
APA
Portz, G., Tavares, T. R., Reusch, S., Jasper, J., & Molin, J. P. (2021). Cotton nitrogen uptake estimation for in-season fertilizer management based on proximal digital image analysis. In Precision agriculture ’21. Wageningen: Wageningen Academic Publishers. doi:10.3920/978-90-8686-916-9_52 -
NLM
Portz G, Tavares TR, Reusch S, Jasper J, Molin JP. Cotton nitrogen uptake estimation for in-season fertilizer management based on proximal digital image analysis [Internet]. In: Precision agriculture ’21. Wageningen: Wageningen Academic Publishers; 2021. [citado 2024 maio 31 ] Available from: https://doi.org/10.3920/978-90-8686-916-9_52 -
Vancouver
Portz G, Tavares TR, Reusch S, Jasper J, Molin JP. Cotton nitrogen uptake estimation for in-season fertilizer management based on proximal digital image analysis [Internet]. In: Precision agriculture ’21. Wageningen: Wageningen Academic Publishers; 2021. [citado 2024 maio 31 ] Available from: https://doi.org/10.3920/978-90-8686-916-9_52 - Sensor systems for mapping soil fertility attributes: challenges, advances, and perspectives in brazilian tropical soils
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Informações sobre o DOI: 10.3920/978-90-8686-916-9_52 (Fonte: oaDOI API)
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