Machine Learning for Predicting Field Soil Moisture Using Soil, Crop, and Nearby Weather Station Data in the Red River Valley of the North

Precise soil moisture prediction is important for water management and logistics of on-farm operations. However, soil moisture is affected by various soil, crop, and meteorological factors, and it is difficult to establish ideal mathematical models for moisture prediction. We investigated various ma...

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Bibliographic Details
Main Authors: Umesh Acharya, Aaron L. M. Daigh, Peter G. Oduor
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Soil Systems
Subjects:
Online Access:https://www.mdpi.com/2571-8789/5/4/57