TY - JOUR
T1 - Modelo de estimación regional de la humedad del suelo para determinar las demandas de riego
AU - Carrillo, Diego Alberto Flores
AU - Fernández, Luis Pastor Sánchez
AU - Pérez, Luis Alejandro Sánchez
N1 - Publisher Copyright:
© 2020 Instituto Politecnico Nacional. All rights reserved.
PY - 2020
Y1 - 2020
N2 - 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. In addition, the integration of IWECASF-FEADM is performed to obtain a regional estimation as a set of point estimates. Fuzzy systems, image processing and decision-making algorithms are utilized. The results obtained are compared with interpolation models. The performance of the models developed better or similar to interpolation. However, the models in this work only require a measurement point to obtain soil moisture, unlike interpolation methods. The integrated approach reduces the operating cost and models the interactions of land features, weather conditions and soil moisture.
AB - 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. In addition, the integration of IWECASF-FEADM is performed to obtain a regional estimation as a set of point estimates. Fuzzy systems, image processing and decision-making algorithms are utilized. The results obtained are compared with interpolation models. The performance of the models developed better or similar to interpolation. However, the models in this work only require a measurement point to obtain soil moisture, unlike interpolation methods. The integrated approach reduces the operating cost and models the interactions of land features, weather conditions and soil moisture.
KW - Fuzzy approach
KW - Fuzzy decision-making
KW - Fuzzy estimation
KW - Regional estimation
KW - Soil moisture
UR - http://www.scopus.com/inward/record.url?scp=85086656928&partnerID=8YFLogxK
U2 - 10.13053/CyS-24-1-3231
DO - 10.13053/CyS-24-1-3231
M3 - Artículo
SN - 1405-5546
VL - 24
SP - 359
EP - 390
JO - Computacion y Sistemas
JF - Computacion y Sistemas
IS - 1
ER -