Improving Crop Yield Predictions in Morocco Using Machine Learning Algorithms
In Morocco, agriculture is an important sector that contributes to the country's economy and food security. Accurately predicting crop yields is crucial for farmers, policy makers, and other stakeholders to make informed decisions regarding resource allocation and food security. This paper inve...
Main Authors: | Rachid Ed-Daoudi, Altaf Alaoui, Badia Ettaki, Jamal Zerouaoui |
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Format: | Article |
Language: | English |
Published: |
Polish Society of Ecological Engineering (PTIE)
2023-06-01
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Series: | Journal of Ecological Engineering |
Subjects: | |
Online Access: | http://www.jeeng.net/Improving-Crop-Yield-Predictions-in-Morocco-Using-Machine-Learning-Algorithms,162769,0,2.html |
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