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Optimal irrigation scheduling combining water content sensors and remote sensing data.

Author
Fontanet, M.
Type of activity
Theses
Other related units
Department of Civil and Environmental Engineering
Defense's date
2019-11-25
URL
http://hdl.handle.net/2117/183234 Open in new window
Abstract
By 2025, the Food and Agriculture Organization of the United Nations predicts that two-thirds of the world population will experience water stress conditions. In addition, it is expected that world population will increase significantly during the following years. Agriculture is the largest consumer of fresh water, estimated 75%. The optimization of its use is therefore crucial for future. The main objective of irrigation scheduling is to guarantee maximum crop yield while saving significant amo...
Group of research
GHS - Hydrogeology Group
Citation
Fontanet i Ambròs, M. Optimal irrigation scheduling combining water content sensors and remote sensing data. Tesi doctoral, UPC, Departament d'Enginyeria Civil i Ambiental, 2019.

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