A New Flexible and Widely Software to Achieve Sustainable Agriculture based on Water-Energy-Food Nexus
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11269-024-03904-x.pdf
Reference50 articles.
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3. Amani S, Shafizadeh-Moghadam H, Morid S (2024) Utilizing machine learning models with limited meteorological data as alternatives for the FAO-56PM model in estimating reference evapotranspiration. Water Resour Manage 38:1921–1942. https://doi.org/10.1007/s11269-023-03670-2
4. Azizi A, Mehrabi H, ZareMehrgerdi M (2022) Impacts of climate change and water scarcity on farmers’ irrigation decisions in north-khorasan province: major crops. J Agric Econ Dev 35(4):367–32. https://doi.org/10.22067/JEAD.2021.70253.1046
5. Bakhshianlamouki E, Masia S, Karimi P, van der Zaag P, Susnik J (2020) A system dynamics model to quantify the impacts of restoration measures on the waterenergy-food nexus in the Urmia lake Basin Iran. Sci Total Environ 708:134874. https://doi.org/10.1016/j.scitotenv.2019.134874
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