Title:	Optimizing nitrogen estimates in common bean canopies throughout key growth stages via spectral and textural data from unmanned aerial vehicle (UAV) multispectral imagery.
Authors:	CASTILHO, D. MADARI, B. E. CARVALHO, M. da C. S. FERREIRA, M. E.
Affiliation:	DIOGO CASTILHO, UNIVERSIDADE FEDERAL DE GOIÁS; BEATA EMOKE MADARI, CNPAF; MARIA DA CONCEICAO SANTANA CARVALHO, CNPAF; MANUEL EDUARDO FERREIRA, UNIVERSIDADE FEDERAL DE GOIÁS.
Date Issued:	2025
Citation:	In: LATIN AMERICAN & CARIBBEAN SOIL CARBON RESEARCH SYMPOSIUM, 2025, Rio de Janeiro. Book of abstracts. Rio de Janeiro, 2025.
Description:	This study evaluates the integration of multispectral and texture data from UAV imagery to estimate leaf nitrogen content (LNC) in common bean across different growth stages. Our models were developed using data from a single location over two seasons; thus, broader validation is needed across diverse environmental conditions and cultivars.
Thesagro:	Feijão Phaseolus Vulgaris Nitrogênio
NAL Thesaurus:	Spectral analysis Multispectral imagery Beans
Type of Material:	Resumo em anais e proceedings
Access:	openAccess
Appears in Collections:	Resumo em anais de congresso (CNPAF)