Integrating Remote Sensing, Proximal Sensing, and Probabilistic Modeling to Support Agricultural Project Planning and Decision-Making for Waterlogged Fields

Integrating Remote Sensing, Proximal Sensing, and Probabilistic Modeling to Support Agricultural Project Planning and Decision-Making for Waterlogged Fields

Waterlogging in agriculture poses severe threats to soil properties, crop yields, and farm profitability. Remote sensing data coupled with drainage systems offer solutions to monitor and manage waterlogging in agricultural systems. However, implementing agricultural projects such as drainage is asso...

Full description

Bibliographic Details
Main Authors: Benjamin Bukombe, Sándor Csenki, Dora Szlatenyi, Ivan Czako, Vince Láng
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Water
Subjects:
waterlogging
drainage
Bayesian modeling
proximal soil sensing
ECa
cost–benefit analysis
Online Access:https://www.mdpi.com/2073-4441/15/7/1340

Internet

https://www.mdpi.com/2073-4441/15/7/1340

Similar Items