Student Name: JESIL M N
Guide Name: Dr.Hema Ramachandran, Assistant Professor, TPLC
Project Area: MACHINE LEARNING
Year: 2019 , Duration: 1
Soil moisture information plays an important role in environmental monitoring, agricultural production and hydrological studies. Particularly, agricultural yield depends on several growing parameters like temperature, moisture of the soil, etc. The study includes development of a system for measuring and monitoring soil moisture, temperature and the amount of daylight falling on the soil by interfacing low-cost soil sensors with Arduino and using Internet of Things (IoT). The study also involves developing a time series forecasting model for forecasting soil moisture values using Deep learning toolbox by MATLAB.
