High-Precision Phenotyping in Soybeans: Applying Multispectral Variables Acquired at Different Phenological Stages

High-Precision Phenotyping in Soybeans: Applying Multispectral Variables Acquired at Different Phenological Stages

Soybean stands out for being the most economically important oilseed in the world. Remote sensing techniques and precision agriculture are being analyzed through research in different agricultural regions as a technological system aiming at productivity and possible low-cost reduction. Machine learn...

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Main Authors: Celí Santana Silva, Dthenifer Cordeiro Santana, Fábio Henrique Rojo Baio, Ana Carina da Silva Cândido Seron, Rita de Cássia Félix Alvarez, Larissa Pereira Ribeiro Teodoro, Carlos Antônio da Silva Junior, Paulo Eduardo Teodoro
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:AgriEngineering
Subjects:
multispectral sensor
spectral bands
machine learning
agronomic traits
Online Access:https://www.mdpi.com/2624-7402/7/2/47
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