Título:	Multistep pasture vigor classification at the local scale: a comparative analysis in Guia Lopes da Laguna, MS.
Autoria:	CASTRO, V. H. M. e de C. KLINKE NETO, G. PARREIRAS, T. C. BOLFE, E. L. BERGIER, I.
Afiliação:	VICTÓRIA HELLENA MATUSEVICIUS E DE CASTRO, UNIVERSIDADE ESTADUAL DE CAMPINAS; GUSTAVO KLINKE NETO, UNIVERSIDADE ESTADUAL DE CAMPINAS; TAYA CRISTO PARREIRAS, UNIVERSIDADE ESTADUAL DE CAMPINAS; EDSON LUIS BOLFE, CNPTIA; IVAN BERGIER TAVARES DE LIMA, CNPTIA.
Ano de publicação:	2025
Referência:	In: WORKSHOP CIENTÍFICO DO CENTRO DE CIÊNCIA PARA O DESENVOLVIMENTO EM AGRICULTURA DIGITAL – SEMEAR DIGITAL, 2., 2025, Campinas. Anais [...]. Piracicaba: ESALQ/USP, 2025. p. 445-452.
Conteúdo:	Accurate pasture mapping is essential for sustainable livestock management in Brazil, where degradation affects extensive areas. Tools like the Atlas das Pastagens provide large-scale data on pasture quality, but local-scale accuracy remains underexplored. This study assessed the accuracy of pasture vigor classification in the 2023 Atlas using 60 groundtruth points collected in Guia Lopes da Laguna, Mato Grosso do Sul, in June 2024. Field data were classified into High, Medium, or Low vigor and then grouped into a binary scheme: “non-degraded” (high vigor) and “degraded” (medium + low Vigor). A confusion matrix comparing reference (field) and estimated (Atlas) data revealed an overall accuracy of 73.3%. The method in Atlas performed better at detecting degraded areas (recall = 80.0%, precision = 70.6%, F1-score = 75.0%) than non-degraded areas (recall = 34.8%, precision = 47.1%, F1-score = 40.0%). While the binary approach improves overall accuracy, the Atlas still shows significant limitations in correctly identifying non-degraded (High Vigor) pastures at the municipal level, often underestimating their presence. Therefore, the Atlas is a useful tool for detecting degradation signs but should be used with caution in applications that require high local precision in distinguishing productive pasture areas.
NAL Thesaurus:	Pasture management
Palavras-chave:	Degradação de pastagem Atlas das Pastagens Mapeamento de pastagem Avaliação de precisão Pasture degradation Accuracy assessment
ISBN:	978-85-86481-94-9
Notas:	Organização: Silvia Maria Fonseca Silveira Massruhá, Durval Dourado Neto, Luciana Alvim Santos Romani, Jayme Garcia Arnal Barbedo, Édson Luis Bolfe, Ivan Bergier, Maria Angelica de Andrade Leite, Vitor Del Alamo Guarda, Catarina Barbosa Careta.
Tipo do material:	Artigo em anais e proceedings
Acesso:	openAccess
Aparece nas coleções:	Artigo em anais de congresso (CNPTIA)