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PRECIMED: development of a decision support system (DSS) for precision irrigation in Mediterranean agriculture

Code: 9781835451816
María F. Ortuño, Andrés Parra, Juan J. Alarcón and María J. Gómez-Bellot, Centro de Edafología y Biología Aplicada del Segura (CEBAS-CSIC), Spain; Antonio Skarmeta, Manuel Mora and Rafael Marín, Odin Solutions S.L. (ODINs), Spain; Nikolaos Katsoulas, Sofia Faliagka and Dimitris K. Papanastasiou, University of Thessaly (UTH), Greece; Mohammed Semiani, Farouk Eddine Belkhiri and Smadhi Dalila, National Institute of Agronomic Research of Algeria (INRAA), Algeria; and Khouloud Boukadi, Rima Grati and Bassem Bouaziz, University of Sfax (OPTIM), Tunisia

Chapter synopsis:

Agriculture is one of the most dynamic and productive sectors in the Mediterranean region, but it is also the most vulnerable to water scarcity. Currently, it is facing certain challenges, which compromise the sustainability and environmental impact of our food production system. In response, and to help address this issue, the PRECIMED project has developed a decision support system (DSS) to enhance the efficiency of farmers in their daily tasks, including irrigation and fertilization. The PRECIMED DSS offers end users the opportunity to deploy and integrate a range of IoT devices and web services from different sources, as well as the use of advanced agronomic services. The DSS outputs were tested and validated in four different Mediterranean countries, including Spain, Algeria, Tunisia and Greece, under both greenhouse (protected cropping) and open-field-scale cropping systems.



DOI: 10.19103/AS.2023.0123.24
£25.00
Table of contents
  • 1 Introduction
  • 2 PRECIMED approach
  • 3 PRECIMED decision-support system case studies
  • 4 Conclusion and future trends
  • 5 Where to look for further information
  • 6 Acknowledgements
  • 7 References

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