• Mr. Ajay Kumar Suwalka
• Mr. Abhishek Singh

The purpose of this experiment was to test and learn how if the technology is being used in the agricultural society. The hard work, thought and practical experiments in the field has just changed the definition of method of cultivation and the result of production. This study says – there is no fixed figure to describe how much crops are getting waste or damage every year because of lack of knowledge of climatic conditions which is a major key to get success in the growth of a crop. Nobody can deny that, India is at the first position in terms of agriculture and cultivation. Millions of families in India are directly connected to this job. Agriculture is the only occupation in India which balances both the requirements of mankind and industries – all the raw materials are supplied to the industries. With time, the advancements done in this field and those farming techniques are enhancing the crop productions more profitable and hence reduce the irrigation wastages. The proposed project is a smart irrigation system which can predict the actual requirement of the crop depending upon the location and time, using Machine Learning and IoT the analysis for the soil and crop requirement can be easily done and the algorithm can predict the exact requirement what a crop need. Humidity, temperature and moisture are three essential frameworks which determine how much water is required in any agriculture field. The project consists of sensors which are deployed in the field; they capture the information and data, send through a microprocessor (that can be Arduino or raspberry pi) and building an IoT device with the cloud.

IoT, Machine learning, irrigation, field, crop yield.

"Machine Learning and IoT: An Analytical Study for Agricultural Production by Controlling the Irrigation.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.1854-1861, April-2019, Available :http://www.jetir.org/papers/JETIR1904S70.pdf

"Machine Learning and IoT: An Analytical Study for Agricultural Production by Controlling the Irrigation.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp1854-1861, April-2019, Available at : http://www.jetir.org/papers/JETIR1904S70.pdf