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

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dc.contributor.authorBwambale, Erion
dc.contributor.authorNaangmenyele, Zita
dc.contributor.authorIradukunda, Parfait
dc.contributor.authorAkansake, Daniel A.
dc.contributor.authorBisa, Michael E.
dc.contributor.authorHakizayezu, Joseph
dc.contributor.authorOnofua, Oluwaseun Elijah
dc.contributor.authorChikabvumbwa, Sylvester R.
dc.date.accessioned2023-06-16T11:24:42Z
dc.date.available2023-06-16T11:24:42Z
dc.date.issued2022
dc.description.abstractIrrigation 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.en_US
dc.identifier.citationBwambale, E., Naangmenyele, Z., Iradukunda, P., Agboka, K. M., Houessou-Dossou, E. A., Akansake, D. A., ... & Chikabvumbwa, S. R. (2022). Towards precision irrigation management: A review of GIS, remote sensing and emerging technologies. Cogent Engineering, 9(1), 2100573.https://doi.org/10.1080/23311916.2022.2100573en_US
dc.identifier.issn2331-1916
dc.identifier.urihttps://nru.uncst.go.ug/handle/123456789/8940
dc.language.isoenen_US
dc.publisherCogent Engineeringen_US
dc.subjectwater use efficiencyen_US
dc.subjectData-drivenen_US
dc.subjectMachine learningen_US
dc.subjectGIS and RSen_US
dc.subjectPrecision irrigationen_US
dc.subjectBig dataen_US
dc.titleTowards precision irrigation management: A review of GIS, remote sensing and emerging technologiesen_US
dc.typeArticleen_US
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