Irrigation alert system for farmers based on external intelligence and field sensors data

Abstract

— Agricultural sector is of greater importance in a country like India, the prime stakeholder of it being the farmer faces in numerous problems left unsolved. Among them are the issues related to “expert suggestion” for the farmer fraternity to overcome issues that prevail as a hindrance for their normal living. Among those issues the main aspect to be considered is the irrigation system. Since irrigation system plays the vital role this study focuses on the aspect of developing a framework that paves a way for external intelligence and field sensor data. This would in turn serve the purpose of providing support to the farmers on grounds of issues related to irrigation and enriching the farming. On one hand the researchers have contributed towards precision agriculture which is very cost effective, on the other hand in Indian perspective there are limited resources in hand which does evince of much of investment made in agriculture sector. Considering the avenues through which the farmers can avail through the governmental initiative, it will become a worthwhile effort to suggest with a platform for intelligence and field sensor data in irrigation system. This proposed platform will be enable to 1) Read data from field sensors and external Intelligence System which take farmers details such as crop type, soil type, sowing time etc., and irrigation partners data like crop type, no. of irrigation, duration details as input 2) Retrieve the weather forecast data based on the soil moisture content 3) Deliver the irrigation based alert to farmers through mobile device. The study enables the farmers to get external advisory services through which they can enhance rich harvest in the agricultural activities. The findings of the study would gauge the gap between the existing system and the proposed framework.