Management and agricultural water productivity improvement in India and the Ganges Basin

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cg.contributor.affiliationInternational Water Management Instituteen
cg.contributor.affiliationLondon School of Hygiene and Tropical Medicine, London, UKen
cg.contributor.affiliationUniversity of KwaZulu-Natalen
cg.coverage.countryIndiaen
cg.coverage.iso3166-alpha2INen
cg.coverage.subregionGanges Basinen
cg.creator.identifierBHARAT SHARMA: 0000-0002-1414-5011en
cg.creator.identifierAlok Sikka: 0000-0001-9843-9617en
cg.creator.identifierJonathan Lautze: 0000-0003-4215-5919en
cg.creator.identifierMabhaudhi T: 0000-0002-9323-8127en
cg.identifier.doihttps://doi.org/10.1007/978-981-96-1848-4_3en
cg.identifier.iwmilibraryH053745en
cg.reviewStatusPeer Reviewen
cg.river.basinGANGESen
dc.contributor.authorSharma, Bharaten
dc.contributor.authorSikka, Aloken
dc.contributor.authorLautze, Jonathanen
dc.contributor.authorMabhaudhi, T.en
dc.date.accessioned2025-04-28T05:42:58Zen
dc.date.available2025-04-28T05:42:58Zen
dc.identifier.urihttps://hdl.handle.net/10568/174341
dc.titleManagement and agricultural water productivity improvement in India and the Ganges Basinen
dcterms.abstractThe fast transition of India from a water-stressed to a water-scarce country has provided additional impetus for the search for interventions and decision support systems (DSSs) for solutions to problems arising from a mismatch between demand and supply and competing demands of economic and environmental sectors. Agriculture is the largest user of freshwater and increasing water productivity in agriculture is a national challenge requiring urgent attention. Globally, DSSs have gained immense popularity in various domains and, more recently, in agriculture and water resources management but are still limited in developing countries like India. This chapter presents a comprehensive compilation and stocktake of the DSSs developed at various scales in India and specific to the Ganges Basin, aimed at serving as a foundation for future work in this direction. After the criteria-based screening of the literature and reports, each selected DSS was analysed in the context of the aspects covered, key criteria, and the parameters such as relevance, applicability, focus, and scale of application. To reinforce the recommendations, KIIs were held with selected experts and stakeholders. A matrix approach was employed to compile and review the DSS with broader segregation under (i) crop and farm-based decision support systems, (ii) DSS based on artificial intelligence, enhanced machine learning, fuzzy multi-criteria decision making, and knowledge systems, (iii) DSS for real-time operation of micro-irrigation systems, (iv) DSS for management of tanks and reservoirs for water-deficit regions, and (v) DSS for improving water productivity under canal commands and conjunctive management of surface and groundwater resources. The selected DSSs were then analysed for focus, key findings, relevance, applicability, and scale of application of the DSS.en
dcterms.accessRightsOpen Accessen
dcterms.bibliographicCitationSharma, Bharat; Sikka, Alok; Lautze, Jonathan; Mabhaudhi, T. 2025. Management and agricultural water productivity improvement in India and the Ganges Basin. In Mabhaudhi, T.; Chimonyo, V. G. P.; Senzanje, A.; Chivenge, P. P. (Eds.). Enhancing water and food security through improved agricultural water productivity: new knowledge, innovations and applications. Singapore: Springer. pp.49-75. [doi: https://doi.org/10.1007/978-981-96-1848-4_3]en
dcterms.descriptionIn Mabhaudhi, T.; Chimonyo, V. G. P.; Senzanje, A.; Chivenge, P. P. (Eds.). Enhancing water and food security through improved agricultural water productivity: new knowledge, innovations and applications. Singapore: Springeren
dcterms.extentpp.49-75.en
dcterms.issued2025-04-13en
dcterms.languageenen
dcterms.licenseCC-BY-4.0en
dcterms.publisherSpringeren
dcterms.subjectagricultural water managementen
dcterms.subjectwater productivityen
dcterms.subjectdecision-support systemsen
dcterms.subjectirrigated farmingen
dcterms.subjectwater-use efficiencyen
dcterms.subjectenvironmental healthen
dcterms.subjectstakeholdersen
dcterms.typeBook Chapteren

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