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...
محفوظ في:
| المؤلفون الرئيسيون: | , , |
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| التنسيق: | Artigo |
| اللغة: | Inglês |
| منشور في: |
MDPI AG
2025-12-01
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| سلاسل: | Remote Sensing |
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://www.mdpi.com/2072-4292/17/24/3935 |
| الوسوم: |
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