Please use this identifier to cite or link to this item: https://ktisis.cut.ac.cy/handle/10488/22553
Title: Smart Water Management for Irrigation Purposes: The SWSOIP Pproject
Authors: Papoutsa, Christiana 
Theocharides, Christos 
Prodromou, Maria 
Papadavid, George 
Sykas, Dimitris 
Michaelides, Silas 
Christoforou, Michalakis 
Kountios, Georgios 
Kounoudes, Anastasis 
Milis, Marios 
Hadjimitsis, Diofantos G. 
Major Field of Science: Engineering and Technology
Field Category: Civil Engineering
Keywords: Water management;Agriculture;Remote sensing;Smart watering system
Issue Date: 2020
Source: Proceedings of the 9th International Conference on Information and Communication Technologies in Agriculture, Food & Environment (HAICTA 2020), Thessaloniki, Greece, September 24-27, 2020
Project: ERATOSTHENES: Excellence Research Centre for Earth Surveillance and Space-Based Monitoring of the Environment 
Conference: International Conference on Information and Communication Technologies in Agriculture, Food & Environment 
Abstract: It seems that the future scenarios for water resources management are characterized by increasing demand and by the short-term unsustainability of many reservoirs in the Mediterranean basin. To address these scenarios, improved management of water resources was needed for water economy, and water recycling policies. Furthermore, agriculture characterized as the largest water user worldwide and the monitoring of the agriculture via remote sensing techniques is an enormous subject where it used for special scientific applications such as irrigation, precision farming, yield prediction, estimation of evapotranspiration etc. The main objective of this paper is to present the current situation of water resources in the Mediterranean region and present the methodology and main objectives of the SWSOIP project which aims to develop a smart watering system for the irrigation process based on the estimation of evapotranspiration using both in-situ data (spectroradiometric, LAI, CH and meteorological) and Sentinel satellite data.
URI: https://ktisis.cut.ac.cy/handle/10488/22553
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
Type: Conference Papers
Affiliation : Cyprus University of Technology 
ERATOSTHENES Centre of Excellence 
Agricultural Research Institute 
SignalGeneriX Ltd 
Appears in Collections:Publications under the auspices of the EXCELSIOR H2020 Teaming Project/ERATOSTHENES Centre of Excellence

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