What is it about?

hus, this study aims to develop an intelligent fuzzy inference system based on precision irrigation knowledge, i.e., a system that can create prescriptive maps to control the rotation speed of the central pivot. Satellite images are used in this study because remote sensing offers quick measurements and easy access to information on crops for large irrigation areas. Based on the VRI-prescribed map created using the intelligent decision-making system, the pivot can increase or decrease its speed, reaching the desired depth of application in a certain irrigation zone.

Featured Image

Why is it important?

The developed fuzzy system for irrigation control is original and innovative. No similar discussion in the scientific literature about speed control maps of the central pivot was found. Furthermore, there is no information available on commercial systems that can autonomously build this type of map.

Perspectives

The results were favorable to the continuity of studies on precision irrigation and application of the fuzzy logic for creating central pivots irrigation systems maps. Future research should implement this decision support system into field trials to evaluate its ability to reduce irrigation pumping and/or improve crop yield.

Ph.D. Willians Ribeiro Mendes
Instituto Federal de Educação, Ciência e Tecnologia de Mato Grosso

Read the Original

This page is a summary of: Fuzzy control system for variable rate irrigation using remote sensing, Expert Systems with Applications, January 2019, Elsevier,
DOI: 10.1016/j.eswa.2019.01.043.
You can read the full text:

Read

Resources

Contributors

The following have contributed to this page