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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...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: 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
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2024-11-01
Schriftenreihe:AgriEngineering
Schlagworte:
multispectral
random forest
high-throughput phenotyping
spectral bands
Online-Zugang:https://www.mdpi.com/2624-7402/6/4/256
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