Soil Moisture Monitoring in Precision Agriculture Using Estimation Theories

Pourshamsaei Dargahi, Hossein | 2018

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  1. Type of Document: Ph.D. Dissertation
  2. Language: Farsi
  3. Document No: 51293 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Nobakhti, Amin
  7. Abstract:
  8. Monitoring of soil moisture plays an essential role in correct decision making and implementation of any closed loop control system in precision agriculture. On the one hand, continuous using of a lot of moisture sensors and monitoring of soil moisture via direct measurement is restricted by practical prohibitions. On the grounds that activation of a lot of sensors continuously requires communication of a large amount of information and causes high power consumption for a moisture monitoring system. On the other hand, using remote sensing methods such as satellite methods, for moisture monitoring in arbitrary spatial and time resolution for control purposes, is not practically possible. The main purpose of this thesis has to do with using estimation theories for estimation of soil moisture via measurements of a few number of sensors. Two estimation theories used in this thesis are Compressive Sensing (CS) and Proper Orthogonal Decomposition (POD). Finally, a novel algorithm with high reliability based on POD method is proposed for soil moisture monitoring. In this method, although implementation of sensors at all interested locations is required, but activation of only a few sensors at each sample time is enough. Consequently, the power consumption of the system is noticeably decreased. The new algorithm has been validated using data from soil moisture monitoring stations of USA
  9. Keywords:
  10. Proper Orthogonal Decomposition ; Compressive Sensing ; Precision Agriculture ; Soil Moisture Monitoring ; Optimal Sensor Placement

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