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...

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Bibliographic Details
Main Authors: Oumnia Ennaji, Leonardus Vergütz, Achraf El Allali
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2023-09-01
Series:Artificial Intelligence in Agriculture
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S258972172300017X