For a farmer, the most important information about watering their field would be when, where and how much to be precise.


The proposed project is developing a sustainable irrigation management information system, using microwave signals information of telecommunication networks to estimate climatic parameters, and optimizing water productivity.



Measurement of precipitation is based on the fact that the raindrops on the microwave link path attenuate the signal. Hence, a decrease in received signal level generally indicates an increase of rainfall intensity. Underground sensors integrated with an IoT network will continuously assess ground moisture. With precise, real-time measurement of climatic data and ground water content, the proposed system will accurately estimate actual irrigation water demand in the field.


To enhance water productivity and soil management, this intelligent system will use agro-economic model for an effective reallocation strategy. Not only will this model help uplift the living standard of farmers, but also improve crop production and reduce water wastage. This system will allocate water based on both flat and variable rates for optimum water productivity.