Soil Moisture Regional Estimation Approach to Determine Irrigation Demands

Authors

  • Diego Alberto Flores Carrillo Instituto Politécnico Nacional, Centro de Investigación en Computación
  • Luis Pastor Sánchez Fernández Instituto Politécnico Nacional, Centro de Investigación en Computación
  • Luis Alejandro Sánchez Pérez University of Michigan – Dearborn, Department of Electrical and Computer Engineering

DOI:

https://doi.org/10.13053/cys-1-1-3231

Keywords:

Regional estimation, soil moisture, fuzzy approach, fuzzy decision-making, fuzzy estimation

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. 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.

Author Biographies

Diego Alberto Flores Carrillo, Instituto Politécnico Nacional, Centro de Investigación en Computación

PhD in Computer Science

Luis Pastor Sánchez Fernández, Instituto Politécnico Nacional, Centro de Investigación en Computación

Director de Tesis del alumno.Ph.D in Technical Sciences for the Higher Polytechnical Institute "José Antonio Echeverría", Havana, Cuba (1998). Professor-Researcher of the Center for Computing Research of National Polytechnic Institute, Mexico City, since 2000. Member of National Researchers System of Mexico. His research interests include: Virtual Instrumentation, Measurement and Intelligent Processing of Physical Variables, Pattern Recognition, Measurement and Control Systems. Harmful health effects of environmental noise and vibrations by means of symptom evolution monitoring systems based on analysis and pattern recognition of the noise exposure, multiaxial tremors in limbs and body associated with the physical activity.

Luis Alejandro Sánchez Pérez, University of Michigan – Dearborn, Department of Electrical and Computer Engineering

Electrical and Computer Engineering Department, University of Michigan, Dearborn, USA. He holds a PhD degree on Computer Science from the Computing Research Center (CIC) of the National Polytechnic Institute (IPN) in Mexico. He is a Computer Systems Engineer graduated from the Higher School of Computing (ESCOM). His research interest areas are but not limited to Intelligent Systems, Machine Learning, Pattern Recognition, Artificial Intelligence, Computer Systems, Fuzzy Logic, Neural Networks, Digital Signal Processing, Sensor Array and Multichannel Processing, Geographical Information Systems.

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Published

2020-03-25

Issue

Vol. 24 No. 1 (2020): 24(1)2020

Section

Report on PhD Thesis

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