Prediction of Pesticides and Fertilizers using Machine Learning and Internet of Things

摘要

According to the Agricultural Census of India, 64.5% of the population is affiliated to agriculture and yields around 16-17% of the country's GDP. Agriculture is the backbone of our country and is yet an extremely ignored sector, with little or no development taking place. For a country ranked as the second highest producer of rice in the world, it is imperative to be the change and focus on how to improve the methods of agriculture to make the lives of the farmers easier. The use of modern technology in agriculture is the need of the hour. There exists no point in developing high tech - devices as long as there are starving farmers, who have toiled to feed our mouths. An important part of agriculture is the use of pesticides and fertilizers. Pesticides and fertilizers help in keeping the crop safe from pests and in providing additional nutrients in order to grow a successful crop. Although, the use of pesticides and fertilizers could prove to be expensive and harmful if not used with care and precaution. Thus the paper propose a smart farming technique, that will use a GPS module and IoT technologies in order to determine the nature of the soil and the type and amount of pesticides and fertilizers to be used in an efficient methodology.