A Review on Optimizing Water Management in Agriculture through Smart Irrigation Systems and Machine Learning
Optimizing irrigation water usage is crucial for sustainable agriculture, especially in the context of increasing water scarcity and climate variability. Accurate estimation of evapotranspiration (ET), a key component in determining water requirements for crops, is essential for effective irrigation...
Saved in:
Main Authors: | Belarbi Zaid, El Younoussi Yacine |
---|---|
Format: | Article |
Language: | English |
Published: |
EDP Sciences
2025-01-01
|
Series: | E3S Web of Conferences |
Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/01/e3sconf_icegc2024_00078.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Comparative Study of Some Automatic Arabic Text Diacritization Systems
by: Ali Mijlad, et al.
Published: (2022-01-01) -
Agribusiness through Smart Technology an Approach of Smart Agriculture
by: Khatereh Bagherzadeh Asl
Published: (2022-03-01) -
Smart Irrigation Controllers: What Makes an Irrigation Controller Smart?
by: Michael D. Dukes
Published: (2009-04-01) -
Smart Irrigation Controllers: What Makes an Irrigation Controller Smart?
by: Michael D. Dukes
Published: (2009-04-01) -
Water Measurement for Agricultural Irrigation and Drainage Systems
by: Brian Boman, et al.
Published: (2006-10-01)