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Model for soil moisture regional estimation to determine irrigation demands
Ph.D. in Computer Science
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Abstract
The regional estimation of soil moisture avoids the complexity of implementation and maintenance of automatic irrigation systems. The regional estimate can be derived from a point estimation model, such as the Fuzzy Estimation Approach based on Decision Making (FEADM). However, FEADM requires weather conditions where a point estimate is made. In this work, an intelligent weather adjustment model based on the spatial characteristics of the region (IWeCASF) is developed and used to provide FEADM with the necessary data to make a point estimate. The integrated approach reduces the operating cost and models the interactions of land features, weather conditions and soil moisture.
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