Towards precision irrigation management: A review of GIS, remote sensing and emerging technologies. Issue 1 (31st December 2022)
- Record Type:
- Journal Article
- Title:
- Towards precision irrigation management: A review of GIS, remote sensing and emerging technologies. Issue 1 (31st December 2022)
- Main Title:
- Towards precision irrigation management: A review of GIS, remote sensing and emerging technologies
- Authors:
- Bwambale, Erion
Naangmenyele, Zita
Iradukunda, Parfait
Agboka, Komi Mensah
Houessou-Dossou, Eva A. Y.
Akansake, Daniel A.
Bisa, Michael E.
Hamadou, Abdoul-Aziz H.
Hakizayezu, Joseph
Onofua, Oluwaseun Elijah
Chikabvumbwa, Sylvester R. - Editors:
- Tomasiello, Stefania
- Abstract:
- 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.
- Is Part Of:
- Cogent engineering. Volume 9:Issue 1(2022)
- Journal:
- Cogent engineering
- Issue:
- Volume 9:Issue 1(2022)
- Issue Display:
- Volume 9, Issue 1 (2022)
- Year:
- 2022
- Volume:
- 9
- Issue:
- 1
- Issue Sort Value:
- 2022-0009-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-12-31
- Subjects:
- data-driven -- Big data -- precision irrigation -- GIS and RS -- machine learning -- water use efficiency
Engineering -- Periodicals
Technology -- Periodicals
Engineering
Technology
Periodicals
620 - Journal URLs:
- http://bibpurl.oclc.org/web/73324 ↗
http://cogentoa.tandfonline.com/journal/oaen20 ↗
http://www.tandfonline.com/toc/oaen20/1/1 ↗
http://www.tandfonline.com/ ↗
http://cogentoa.tandfonline.com/journal/oaps20 ↗ - DOI:
- 10.1080/23311916.2022.2100573 ↗
- Languages:
- English
- ISSNs:
- 2331-1916
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 22574.xml