| Biography | |
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 Dr. Raphael Linker Technion - Israeli Institute of Technology, Israel |
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| Title: Deterministic and stochastic approaches for model-based optimization of irrigation | |
| Abstract:
Modern intensive agriculture relies on supplemental irrigation in order to achieve high yields. Although it is well established that timely irrigation can increase substantially irrigation efficiency and water productivity, determining the adequate timing and amount of irrigation remains a very challenging task for farmers. Numerous studies have considered the development of Decision Support Systems (DSS) which would help farmers manage irrigation more efficiently. In order to generate and/or compare irrigation schedules, such Decision Support Systems require weather forecasts for a period extending from a few days to the whole season, depending on the approach adopted. Such forecasts can be either deterministic or probabilistic (so-called ensemble forecasts). The talk will discuss the use of both types of forecasts within the general framework of seasonal model-based optimization. Results from simulation studies will be used to illustrate the advantages and drawbacks of the different optimization approaches.
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| Biography:
Raphael Linker is Associate Professor in the Division of Environmental, Water and Agricultural Engineering in the Faculty of Civil and Environmental Engineering at the Technion-Israel Institute of Technology in Haifa, Israel. He received a degree in electro-mechanical engineering from Brussels University (Belgium) and MSc and PhD degrees from the Faculty of Agricultural Engineering at the Technion. His main research interests are related to the use of advanced approaches for sensing, control and optimization of agricultural and environmental systems. He has co-authored over 70 peer-reviewed scientific publications.
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