Water Need Models and Irrigation Decision Systems

TL;DR

This paper surveys water need models and irrigation decision systems in agriculture, highlighting recent developments, challenges, and future strategies to improve water use efficiency and crop yields through mathematical modeling.

Contribution

It provides a comprehensive review of water need models and irrigation decision systems, emphasizing recent advances and identifying key challenges such as environmental dynamics and sensor limitations.

Findings

Water need models lack environmental dynamics modeling.

Sensor technology limitations hinder model accuracy.

Recent developments improve decision system effectiveness.

Abstract

Irrigation decision systems and water need models have been important research topics in agriculture since 90s. They improve the efficiency of crop yields, provide an appropriate use of water on the earth and so, prevent the water scarcity in some regions. In this paper, a comprehensive survey on water need models depending on crop growth and irrigation decision systems has been conducted based on mathematical maodelling. The following outcomes and solutions are the main contributions. Crop growth models and correspondingly water need models are suffer from un-modeled dynamics of the environment and lack of sensory devices. Literature review with the latest developments on water need models, irrigation decision systems, applied control methods and discussions are expected to be useful for the future strategies.