Maize Yield Prediction with Machine Learning, Spectral Variables and Irrigation Management

Maize Yield Prediction with Machine Learning, Spectral Variables and Irrigation Management

Predicting maize yield using spectral information, temperature, and different irrigation management through machine learning algorithms provide information in a fast, accurate, and non-destructive way. The use of multispectral sensor data coupled with irrigation management in maize allows further ex...

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Bibliographic Details
Main Authors: Fábio Henrique Rojo Baio, Dthenifer Cordeiro Santana, Larissa Pereira Ribeiro Teodoro, Izabela Cristina de Oliveira, Ricardo Gava, João Lucas Gouveia de Oliveira, Carlos Antonio da Silva Junior, Paulo Eduardo Teodoro, Luciano Shozo Shiratsuchi
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Remote Sensing
Subjects:
multispectral bands
UAV imagery
remote sensing
computational intelligence
random forest
Online Access:https://www.mdpi.com/2072-4292/15/1/79

Internet

https://www.mdpi.com/2072-4292/15/1/79

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