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Soil Moisture Classification Using SVM by Abdullah Azzam is a document available to read on EtoBox.
What is Soil Moisture Classification Using SVM about?
This document proposes a soil moisture classification model based on support vector machine (SVM) that can be used in agricultural wireless sensor networks. It aims to classify soil moisture into categories like wet, appropriate, dry, and drought at a low cost as an alternative to expensive soil moisture sensors. The model is based on the fact that dry soil has a lower heat capacity than moist soil, so changes in soil temperature compared to air temperature can indicate the soil moisture level. Tests show t
- Author
- Abdullah Azzam
- Language
- EN