Integrating Remote Sensing and Weather Variables for Mango Yield Prediction Using a Machine Learning Approach
Accurate pre-harvest yield forecasting of mango is essential to the industry as it supports better decision making around harvesting logistics and forward selling, thus optimizing productivity and reducing food waste. Current methods for yield forecasting such as manually counting 2–3% of the orchar...
Main Authors: | Benjamin Adjah Torgbor, Muhammad Moshiur Rahman, James Brinkhoff, Priyakant Sinha, Andrew Robson |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-06-01
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Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/15/12/3075 |
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