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Optimal Timing of Carrot Crop Monitoring and Yield Assessment Using Sentinel-2 Images: A Machine-Learning Approach

Remotely sensed images provide effective sources for monitoring crop growth and the early prediction of crop productivity. To monitor carrot crop growth and yield estimation, three 27 ha center-pivot irrigated fields were studied to develop yield prediction models using crop biophysical parameters a...

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Principais autores: Rangaswamy Madugundu, Khalid A. Al-Gaadi, ElKamil Tola, Mohamed K. Edrris, Haroon F. Edrees, Ahmed A. Alameen
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2024-04-01
coleção:Applied Sciences
Assuntos:
carrot crop monitoring
machine learning
Sentinel-2 images
vegetation indices
yield prediction
random forest (RF)
Acesso em linha:https://www.mdpi.com/2076-3417/14/9/3636
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