Machine learning in nutrient management: A review
In agriculture, precise fertilization and effective nutrient management are critical. Machine learning (ML) has recently been increasingly used to develop decision support tools for modern agricultural systems, including nutrient management, to improve yields while reducing expenses and environmenta...
Main Authors: | Oumnia Ennaji, Leonardus Vergütz, Achraf El Allali |
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Format: | Article |
Language: | English |
Published: |
KeAi Communications Co., Ltd.
2023-09-01
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Series: | Artificial Intelligence in Agriculture |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S258972172300017X |
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