Multispectral Information in the Classification of Soybean Genotypes Using Algorithms Regarding Micronutrient Nutritional Contents

Identifying machine learning models that are capable of classifying soybean genotypes according to micronutrient content using only spectral data as input is relevant and useful for plant breeding programs and agricultural producers. Therefore, our objective was to classify soybean genotypes accordi...

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Hlavní autoři:	Sâmela Beutinger Cavalheiro, Dthenifer Cordeiro Santana, Marcelo Carvalho Minhoto Teixeira Filho, Izabela Cristina de Oliveira, Rita de Cássia Félix Alvarez, João Lucas Della-Silva, Fábio Henrique Rojo Baio, Ricardo Gava, Larissa Pereira Ribeiro Teodoro, Carlos Antonio da Silva Junior, Paulo Eduardo Teodoro
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2024-11-01
Edice:	AgriEngineering
Témata:	multispectral random forest high-throughput phenotyping spectral bands
On-line přístup:	https://www.mdpi.com/2624-7402/6/4/256
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