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2015-09-16

Artificial Neural Network Model for Soil Moisture Estimation at Microwave Frequency

By Raman Menon Rajesh Mohan, Shanta Mridula, and Pezholil Mohanan
Progress In Electromagnetics Research M, Vol. 43, 175-181, 2015
doi:10.2528/PIERM15070501

Abstract

This paper reports a neural-network-based methodology to estimate the amount of moisture content in soil at L, S and C frequency bands. A multilayered artificial neural network, using the Levenberg-Marquardt algorithm, is used as the ANN model. The input training data comprise the measured values of dielectric constant of soil in the dry and moist states. Dielectric constant is measured using microwave free-space transmission technique. Measurement has been performed using Vector Network Analyzer (VNA), microstrip patch antenna and soil sample holder. One great advantage with this method is that there is no need to test the pH value of the soil sample, and hence all the associated pre-processing steps, such as drying, pulverizing, can be avoided.

Citation


Raman Menon Rajesh Mohan, Shanta Mridula, and Pezholil Mohanan, "Artificial Neural Network Model for Soil Moisture Estimation at Microwave Frequency," Progress In Electromagnetics Research M, Vol. 43, 175-181, 2015.
doi:10.2528/PIERM15070501
http://www.jpier.org/PIERM/pier.php?paper=15070501

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