Enhancing cotton irrigation with distributional actor–critic reinforcement learning
Accurate predictions of irrigation’s impact on crop yield are crucial for effective decision-making. However, current research predominantly focuses on the relationship between irrigation events and soil moisture, often neglecting the physiological state of the crops themselves. This study introduce...
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Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2025-02-01
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Series: | Agricultural Water Management |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S0378377424005304 |
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