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AquaCrop-OS: An open source version of FAO's crop water productivity model

Citations

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  1. Lei, Guoqing & Zeng, Wenzhi & Yu, Jin & Huang, Jiesheng, 2023. "A comparison of physical-based and machine learning modeling for soil salt dynamics in crop fields," Agricultural Water Management, Elsevier, vol. 277(C).
  2. Hu, Shiruo & Ding, Yueting & Cui, Shibo & Li, Yingjia & Zhao, Jianshi, 2025. "Assessing economic and hydrological effects of water-saving irrigation using a coupled SWAT–MODFLOW–AquaCrop model," Agricultural Water Management, Elsevier, vol. 314(C).
  3. Dong, Wenhao & Yang, Aizheng & Fu, Qiang & Singh, Vijay P. & Zhangzhong, Lili & Zhang, Pingan & Wang, Xiaofang & Hu, Kun & Li, Mo, 2025. "Coupled modeling of rice growth and quality accumulation facilitates efficient, high-quality and precision water management," Agricultural Systems, Elsevier, vol. 230(C).
  4. Paloch Suchato & Taro Mieno & Karina Schoengold & Timothy Foster, 2022. "The potential for moral hazard behavior in irrigation decisions under crop insurance," Agricultural Economics, International Association of Agricultural Economists, vol. 53(2), pages 257-273, March.
  5. Martínez-Romero, A. & Domínguez, A. & Landeras, G., 2019. "Regulated deficit irrigation strategies for different potato cultivars under continental Mediterranean-Atlantic conditions," Agricultural Water Management, Elsevier, vol. 216(C), pages 164-176.
  6. Masseroni, Daniele & Gangi, Fabiola & Galli, Andrea & Ceriani, Rodolfo & De Gaetani, Carlo & Gandolfi, Claudio, 2022. "Behind the efficiency of border irrigation: Lesson learned in Northern Italy," Agricultural Water Management, Elsevier, vol. 269(C).
  7. Rouhi Rad, Mani & Brozović, Nicholas & Foster, Timothy & Mieno, Taro, 2020. "Effects of instantaneous groundwater availability on irrigated agriculture and implications for aquifer management," Resource and Energy Economics, Elsevier, vol. 59(C).
  8. Sarah Ann Wheeler & Céline Nauges & R. Quentin Grafton, 2025. "Water pricing and markets: Principles, practices and proposals," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 47(2), pages 487-514, May.
  9. Foster, T. & Brozović, N., 2018. "Simulating Crop-Water Production Functions Using Crop Growth Models to Support Water Policy Assessments," Ecological Economics, Elsevier, vol. 152(C), pages 9-21.
  10. Syed M. Zaigham Abbas Naqvi & M. Naveed Tahir & Vijaya Raghavan & M. Awais & Jiandong Hu & Yahia Said & Nashwan Adnan Othman & Mirjalol Ashurov & M. Ijaz Khan, 2025. "AI-enhanced IoT sensors for real-time crop monitoring: an era towards self-monitored agriculture," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 88(3), pages 1-15, September.
  11. Zhang, Ting & Zuo, Qiang & Shi, Jianchu & Fan, Yuchuan & Zhang, Sumei & Wu, Xun & Ben-Gal, Alon, 2025. "Evaluation and improvement of crop root-water-uptake and transpiration in AquaCrop," Agricultural Water Management, Elsevier, vol. 318(C).
  12. Rossetto, Rudy & De Filippis, Giovanna & Triana, Federico & Ghetta, Matteo & Borsi, Iacopo & Schmid, Wolfgang, 2019. "Software tools for management of conjunctive use of surface- and ground-water in the rural environment: integration of the Farm Process and the Crop Growth Module in the FREEWAT platform," Agricultural Water Management, Elsevier, vol. 223(C), pages 1-1.
  13. Alex Zizinga & Jackson Gilbert Majaliwa Mwanjalolo & Britta Tietjen & Bobe Bedadi & Ramon Amaro de Sales & Dennis Beesigamukama, 2022. "Simulating Maize Productivity under Selected Climate Smart Agriculture Practices Using AquaCrop Model in a Sub-humid Environment," Sustainability, MDPI, vol. 14(4), pages 1-17, February.
  14. Mabhaudhi, Tafadzwanashe & Dirwai, Tinashe Lindel & Taguta, Cuthbert & Sikka, Alok & Lautze, Jonathan, 2023. "Mapping Decision Support Tools (DSTs) on agricultural water productivity: A global systematic scoping review," Agricultural Water Management, Elsevier, vol. 290(C).
  15. Nyathi, M.K. & Van Halsema, G.E. & Beletse, Y.G. & Annandale, J.G. & Struik, P.C., 2018. "Nutritional water productivity of selected leafy vegetables," Agricultural Water Management, Elsevier, vol. 209(C), pages 111-122.
  16. Martins, Minella Alves & Tomasella, Javier & Dias, Cássia Gabriele, 2019. "Maize yield under a changing climate in the Brazilian Northeast: Impacts and adaptation," Agricultural Water Management, Elsevier, vol. 216(C), pages 339-350.
  17. Knowling, Matthew J. & Walker, Rob R. & Pellegrino, Anne & Edwards, Everard J. & Westra, Seth & Collins, Cassandra & Ostendorf, Bertram & Bennett, Bree, 2023. "Generalized water production relations through process-based modeling: A viticulture example," Agricultural Water Management, Elsevier, vol. 280(C).
  18. Taguta, C. & Senzanje, A. & Kiala, Z. & Malota, M. & Mabhaudhi, Tafadzwanashe, 2022. "Water-energy-food nexus tools in theory and practice: a systematic review," Papers published in Journals (Open Access), International Water Management Institute, pages 1-4:837316..
  19. Emmanuel Lekakis & Athanasios Zaikos & Alexios Polychronidis & Christos Efthimiou & Ioannis Pourikas & Theano Mamouka, 2022. "Evaluation of Different Modelling Techniques with Fusion of Satellite, Soil and Agro-Meteorological Data for the Assessment of Durum Wheat Yield under a Large Scale Application," Agriculture, MDPI, vol. 12(10), pages 1-23, October.
  20. Feng, Dingrui & Li, Guangyong & Wang, Dan & Wulazibieke, Mierguli & Cai, Mingkun & Kang, Jing & Yuan, Zicheng & Xu, Houcheng, 2022. "Evaluation of AquaCrop model performance under mulched drip irrigation for maize in Northeast China," Agricultural Water Management, Elsevier, vol. 261(C).
  21. Nyathi, M.K. & van Halsema, G.E. & Annandale, J.G. & Struik, P.C., 2018. "Calibration and validation of the AquaCrop model for repeatedly harvested leafy vegetables grown under different irrigation regimes," Agricultural Water Management, Elsevier, vol. 208(C), pages 107-119.
  22. Ding, Yimin & Wang, Mingyu & Jin, Jianxin & Sun, Zhengyuan & Zhang, Jia & Zhu, Lei, 2025. "Risk of real-time irrigation decision-making system for farmland in arid irrigation districts: Methodology and case study," Agricultural Water Management, Elsevier, vol. 320(C).
  23. Lu, Yang & Chibarabada, Tendai P. & Ziliani, Matteo G. & Onema, Jean-Marie Kileshye & McCabe, Matthew F. & Sheffield, Justin, 2021. "Assimilation of soil moisture and canopy cover data improves maize simulation using an under-calibrated crop model," Agricultural Water Management, Elsevier, vol. 252(C).
  24. Oviroh, Peter Ozaveshe & Austin-Breneman, Jesse & Chien, Cheng-Chun & Chakravarthula, Praneet Nallan & Harikumar, Vaishnavi & Shiva, Pranjal & Kimbowa, Alvin Bagetuuma & Luntz, Jonathan & Miyingo, Emm, 2023. "Micro Water-Energy-Food (MicroWEF) Nexus: A system design optimization framework for Integrated Natural Resource Conservation and Development (INRCD) projects at community scale," Applied Energy, Elsevier, vol. 333(C).
  25. Moharana, Shreedevi & Chintala, Syam & Kambhammettu, BVN P., 2025. "Modeling leaf and crop water use efficiency of rainfed Cotton: Interplay of environmental and biophysical drivers," Agricultural Water Management, Elsevier, vol. 317(C).
  26. Elbeltagi, Ahmed & Deng, Jinsong & Wang, Ke & Malik, Anurag & Maroufpoor, Saman, 2020. "Modeling long-term dynamics of crop evapotranspiration using deep learning in a semi-arid environment," Agricultural Water Management, Elsevier, vol. 241(C).
  27. Fan, Xiangyu & Schütze, Niels, 2024. "Assessing crop yield and water balance in crop rotation irrigation systems: Exploring sensitivity to soil hydraulic characteristics and initial moisture conditions in the North China Plain," Agricultural Water Management, Elsevier, vol. 300(C).
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