Litcius/Paper detail

Towards precision irrigation management: A review of GIS, remote sensing and emerging technologies

Erion Bwambale, Zita Naangmenyele, Parfait Iradukunda, Komi Agboka, Eva A. Y. Houessou-Dossou, Daniel Akansake, Michael E. Bisa, Abdoul-Aziz H. Hamadou, Joseph Hakizayezu, Oluwaseun Elijah Onofua, Sylvester Richard Chikabvumbwa

2022Cogent Engineering52 citationsDOIOpen Access PDF

Abstract

Irrigation is the artificial application of water to crops to supply moisture. With rising drought indices and rapid population expansion, the need for irrigation water for food production is growing. Nonetheless, irrigated agriculture is battling several issues that have resulted in poor performance, inefficient water usage, and low crop water production. Improving water use efficiency in irrigated agriculture necessitates using technology that decreases water losses, matches available supplies to demand, and tracks performance. Geographical Information Systems (GIS) and Remote Sensing (RS) allow for effectively managing water and land resources for irrigation. Current GIS and RS uses in irrigation systems are covered in this study, covering land suitability for irrigation, crop water needs, irrigation scheduling, performance evaluation, and other related applications. The future potential of GIS and RS applications for sustainable irrigation water management are highlighted. This paper offers relevant information for researchers, irrigators, and policymakers on using GIS and RS in irrigation water management and how technological improvements will change irrigation water management to enhance water usage efficiency.

Topics & Concepts

IrrigationEnvironmental scienceIrrigation schedulingIrrigation managementWater conservationAgricultural engineeringFarm waterIrrigation statisticsDeficit irrigationWater resource managementWater resourcesAgricultureLow-flow irrigation systemsWater supplyPrecision agricultureEnvironmental engineeringEngineeringGeographyAgronomyEcologyBiologyArchaeologyIrrigation Practices and Water ManagementSmart Agriculture and AIWater resources management and optimization