Abstract
The expansion of intensive irrigation in the central part of Tunisia has introduced the challenge of groundwater sustainability as water table is lowering at the rate of 1–2 m per year. More productive and resilient agriculture requires changes in natural resources management, particularly water and energy. Smart water management for precision irrigation in agriculture is essential for enhancing crop yield and efficient use of water, improving irrigation scheduling, decreasing farming costs while sustaining the environment. It also contributes to make agriculture more resilient to future water-related shocks and global economic changes. Within Sustainable Production in Water Limited Areas of Mediterranean Agro-Systems (SUPROMED) project, we have selected two groups of farms situated in the same areas with similar environmental conditions. In the first sample, the irrigation of selected crops (wheat, oat, olive, pistachios and almond trees) was scheduled by MOPECO model according to soil characteristics, crop types, weather conditions and irrigation network characteristics. For the second, the farmers were left to perform the prevailing water irrigation management. The main objective of this study was to assess the MOPECO irrigation scheduling at the farm level. Agronomic yields, water productivity, farmer’s income and gross margin resilience towards market prices variability were used as indicators to compare such management to the prevailing one. Results showed that smart irrigation management allowed better yields and water use productivity, comparative to conventional management. The farmer’s incomes were also higher. Results also showed that under smart management the gross margin of selected crops become more resilient towards market prices variability leading thus to better economic viability of farming systems in the water limited environments.
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References
Bazaluk, O., Havrysh, V., Nitsenko, V., Mazur, Y., & Lavrenko, S. (2022). Low-cost smart farm irrigation systems in kherson province: Feasibility study. Agronomy, 12, 1013. https://doi.org/10.3390/agronomy12051013
Ben Guessim, A. (2015). For a new vision of the underground water management. In Workshop on: Valorization of Scientific Research Achievements in Water Sector, March 17th-18th, Gammart, Tunisia.
Fellah, S., Khiari, A., Kribaa, M., Arar, A., & Chenchouni, H. (2018). Effect of water regime on growth performance of Durum Wheat (Triticum durum Desf.) during different vegetative phases. Irrigation and Drainage, 67(5), 762‒778. https://doi.org/10.1002/ird.2289.
Hemdi, M. (2022). Situation des ressources en eau dans le Gouvernorat de Sidi Bouzid. Regional seminar on: The adoption of smart irrigation technologies in scheduling irrigation in water limited areas, June, 6–8 Gafsa, Tunisia.
Kamienski, C., Soininen, J. P., Taumberger, M., Dantas, R., Toscano, A., Cinotti, T. S., Maia, R. F., & Torre Neto, A. T. (2021). Smart water management platform: IoT-based precision irrigation for agriculture. Sensors, 2019(19), 276. https://doi.org/10.3390/s19020276
Lecina, S. (2015). Farmerless profit-oriented irrigation scheduling strategy for solid sets. II: Assessment. Journal of Irrigation, and Drainage Engineering, 142(4), 04015068. https://doi.org/10.1061/(ASCE)IR.1943-4774.0000988
Levidow, L., Zaccaria, D., Maia, R., Vivas, E., Todorovic, M., & Scardigno, A. (2014). Improving water-efficient irrigation: Prospects and difficulties of innovative practices. Agricultural Water Management, 146, 84–94. https://doi.org/10.1016/j.agwat.2014.07.012
Liu, Y., & Liakos, V. (2020). Economic risk analysis of modern irrigation scheduling method on cotton production in Georgia. In Selected Paper prepared for presentation at the Southern Agricultural Economics Association (SAEA) Annual Meeting, Louisville, Kentucky, February 1–4, 2020.
Liu, Y., & Smith, A. R. (2020). Economic risk analysiz of modern irrigation scheduling method on cotton production in Georgia. In Selected Paper prepared for presentation at the Southern Agricultural Economics Association (SAEA) Annual Meeting, Louisville, Kentucky, February 1–4, 2020.
Vatta, K., Sidhu, R. S., Lall, U., Birthal, P. S., Taneja, G., Kaur, B., Devineni, N., & Alister, C. M. (2018). Assessing the economic impact of a low-cost water-saving irrigation technology in Indian Punjab: The tensiometer. Water International, 43(2), 305–321. https://doi.org/10.1080/02508060.2017.1416443
Vories, E., O’Shaughnessy, S., Sudduth, K., Evett, S., Andrade, M., & Drummond, S. (2021). Comparison of precision and conventional irrigation management of cotton and impact of soil texture. Precision Agriculture, 2021(22), 414–431. https://doi.org/10.1007/s11119-020-09741-3
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The research was funded by the SUPROMED Project, PRIMA, Program H2020.
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El Amami, H., Chebil, A., Mekki, I. (2024). Improving Agro-ecosystems Resilience in Water Limited Areas Through Smart Irrigation Management: Economic Analysis at the Farm Level. In: Chenchouni, H., et al. Recent Advancements from Aquifers to Skies in Hydrogeology, Geoecology, and Atmospheric Sciences. MedGU 2022. Advances in Science, Technology & Innovation. Springer, Cham. https://doi.org/10.1007/978-3-031-47079-0_21
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