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Machine Learning Approaches for Assessing Avocado Alternate Bearing Using Sentinel-2 and Climate Variables—A Case Study in Limpopo, South Africa

Alternate (irregular) bearing, characterized by large fluctuations in fruit yield between consecutive years, remains a major constraint to sustainable avocado (<i>Persea americana</i>) production. This study aimed to assess the potential of satellite remote sensing and climatic variables to characte...

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Principais autores: Muhammad Moshiur Rahman, Andrew Robson, Theo Bekker
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2025-12-01
coleção:Remote Sensing
Assuntos:
avocado (<i>Persea americana</i>)
alternate bearing
Sentinel-2
remote sensing
weather variables
machine learning
Acesso em linha:https://www.mdpi.com/2072-4292/17/24/3935
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