India, with a population of 1.2 Billion people, is one of the largest democracies of the present day world and one of the oldest civilizations on the face of earth.Agriculture has been a prominent livelihood activity in this part of the world since time immemorial.Today, nearly half of India's population works in agriculture.Dependent primarily on the vagaries of nature and monsoon rains and largely bereft of automation in practices, Indian agriculture contributes only 14 to 18 percent of India's GDP.Since the first Five year plan in 1951, India's focus has been on improving agriculture yield, with a decent success being reported during the 1970s green revolution where the success was largely attributed to introduction of hybrid seeds and related practices.However, forty years hence, Indian agriculture hasn't seen much increase in overall yield improvements and rainfed agriculture in India has continued to rely mostly on monsoon rains.Even a small aberration in weather unseasonal rains, high winds, dry weather and drought multiplies the risk factor for farmers, taking it to unmanageable levels.In the past 20 years, close to 300,000 farmers have committed suicides in India, at an average of 2 farmers every hour.In this work, we introduce and evaluate feasibility of a unique concept of "Community based Precision Farming" to be introduced in India.We have used global climate database (cruNCEP) to establish correlation between farmer suicides and variation in critical climate variable and have created open-source automation sensors for relaying hyperlocal weather, soil, water, NDVI and pest data to a central hub for analytical processing and relaying insights back to farm communities through various innovative means.Finding of this study will be useful in geospatial quantification of impact of precision farming in addressing plight of Indian farmers through innovation in information technology and sharing of real time farm inputs data.