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AquaCrop model to optimize water supply for a sustainable processing tomato cultivation in the Mediterranean area: A multi-objective approach

Author

Listed:
  • Garofalo, P.
  • Riccardi, M.
  • Di Tommasi, P.
  • Tedeschi, A.
  • Rinaldi, M.
  • De Lorenzi, F.

Abstract

Efficient irrigation management must consider multiple aspects of cropping systems, such as productivity, water use efficiency, and economic viability. Crop simulation models like AquaCrop are essential tools for analyzing crop responses under different irrigation scenarios. Organizing the model's outputs into standardized parameters allows for a multi-objective evaluation, which can be consolidated into a single index for optimizing irrigation strategies.

Suggested Citation

  • Garofalo, P. & Riccardi, M. & Di Tommasi, P. & Tedeschi, A. & Rinaldi, M. & De Lorenzi, F., 2025. "AquaCrop model to optimize water supply for a sustainable processing tomato cultivation in the Mediterranean area: A multi-objective approach," Agricultural Systems, Elsevier, vol. 223(C).
    • Handle: RePEc:eee:agisys:v:223:y:2025:i:c:s0308521x24003482
    DOI: 10.1016/j.agsy.2024.104198
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    References listed on IDEAS

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    1. Garofalo, Pasquale & Mastrorilli, Marcello & Ventrella, Domenico & Vonella, Alessandro Vittorio & Campi, Pasquale, 2020. "Modelling the suitability of energy crops through a fuzzy-based system approach: The case of sugar beet in the bioethanol supply chain," Energy, Elsevier, vol. 196(C).
    2. Sandhu, Rupinder & Irmak, Suat, 2019. "Performance of AquaCrop model in simulating maize growth, yield, and evapotranspiration under rainfed, limited and full irrigation," Agricultural Water Management, Elsevier, vol. 223(C), pages 1-1.
    3. Abedinpour, M. & Sarangi, A. & Rajput, T.B.S. & Singh, Man & Pathak, H. & Ahmad, T., 2012. "Performance evaluation of AquaCrop model for maize crop in a semi-arid environment," Agricultural Water Management, Elsevier, vol. 110(C), pages 55-66.
    4. Wellens, Joost & Raes, Dirk & Fereres, Elias & Diels, Jan & Coppye, Cecilia & Adiele, Joy Geraldine & Ezui, Kodjovi Senam Guillaume & Becerra, Luis-Augusto & Selvaraj, Michael Gomez & Dercon, Gerd & H, 2022. "Calibration and validation of the FAO AquaCrop water productivity model for cassava (Manihot esculenta Crantz)," Agricultural Water Management, Elsevier, vol. 263(C).
    5. Abi Saab, Marie Therese & Todorovic, Mladen & Albrizio, Rossella, 2015. "Comparing AquaCrop and CropSyst models in simulating barley growth and yield under different water and nitrogen regimes. Does calibration year influence the performance of crop growth models?," Agricultural Water Management, Elsevier, vol. 147(C), pages 21-33.
    6. Jones, C. A. & Dyke, P. T. & Williams, J. R. & Kiniry, J. R. & Benson, V. W. & Griggs, R. H., 1991. "EPIC: An operational model for evaluation of agricultural sustainability," Agricultural Systems, Elsevier, vol. 37(4), pages 341-350.
    7. Katerji, Nader & Campi, Pasquale & Mastrorilli, Marcello, 2013. "Productivity, evapotranspiration, and water use efficiency of corn and tomato crops simulated by AquaCrop under contrasting water stress conditions in the Mediterranean region," Agricultural Water Management, Elsevier, vol. 130(C), pages 14-26.
    8. repec:plo:pone00:0086938 is not listed on IDEAS
    9. Seyed Ahmadi & Elnaz Mosallaeepour & Ali Kamgar-Haghighi & Ali Sepaskhah, 2015. "Modeling Maize Yield and Soil Water Content with AquaCrop Under Full and Deficit Irrigation Managements," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(8), pages 2837-2853, June.
    10. Rinaldi, Michele & Ventrella, Domenico & Gagliano, Caterina, 2007. "Comparison of nitrogen and irrigation strategies in tomato using CROPGRO model. A case study from Southern Italy," Agricultural Water Management, Elsevier, vol. 87(1), pages 91-105, January.
    11. Xiangxiang, Wang & Quanjiu, Wang & Jun, Fan & Qiuping, Fu, 2013. "Evaluation of the AquaCrop model for simulating the impact of water deficits and different irrigation regimes on the biomass and yield of winter wheat grown on China's Loess Plateau," Agricultural Water Management, Elsevier, vol. 129(C), pages 95-104.
    12. Linker, Raphael & Ioslovich, Ilya & Sylaios, Georgios & Plauborg, Finn & Battilani, Adriano, 2016. "Optimal model-based deficit irrigation scheduling using AquaCrop: A simulation study with cotton, potato and tomato," Agricultural Water Management, Elsevier, vol. 163(C), pages 236-243.
    13. Dhouib, M. & Zitouna-Chebbi, R. & Prévot, L. & Molénat, J. & Mekki, I. & Jacob, F., 2022. "Multicriteria evaluation of the AquaCrop crop model in a hilly rainfed Mediterranean agrosystem," Agricultural Water Management, Elsevier, vol. 273(C).
    14. Cheng, Minghui & Wang, Haidong & Fan, Junliang & Xiang, Youzhen & Liu, Xiaoqiang & Liao, Zhenqi & Abdelghany, Ahmed Elsayed & Zhang, Fucang & Li, Zhijun, 2022. "Evaluation of AquaCrop model for greenhouse cherry tomato with plastic film mulch under various water and nitrogen supplies," Agricultural Water Management, Elsevier, vol. 274(C).
    15. Kang, Shaozhong & Hao, Xinmei & Du, Taisheng & Tong, Ling & Su, Xiaoling & Lu, Hongna & Li, Xiaolin & Huo, Zailin & Li, Sien & Ding, Risheng, 2017. "Improving agricultural water productivity to ensure food security in China under changing environment: From research to practice," Agricultural Water Management, Elsevier, vol. 179(C), pages 5-17.
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