Analysis of Crop Selection on Basis of Dynamic Environmental Factors and Live Market Condition using Techniques of Machine Learning and IOT.


Authors : Sourabh Patil, Kunal Goswami, Kuldip Singh, Ashish Ramdasi.

Volume/Issue : Volume 3 - 2018, Issue 6 - June

Google Scholar : https://goo.gl/DF9R4u

Scribd : https://goo.gl/WboJFr

Thomson Reuters ResearcherID : https://goo.gl/3bkzwv

Agriculture has got a prime role in Indian economy. Most of the problems in the agriculture sector is due to the selection of primitive methods of farming and static selection of crop throughout the year without any precaution taken to analyse the scientific condition for crop selection. This paper will help in bringing a more scientific approach to crop selection using techniques of IOT such as various sensors varying from temperature to soil humidity and use of microcontrollers such as Arduino for computation of Real time data. The real-time data taken from microcontroller will be fed into a system that will be using data mining techniques to compare with target trained datasets for prediction of accurate crop selection. The prediction of crop will also be based on prices listed on National Commodity and Derivative Exchange (NCDEX).

Keywords : Intelligent agriculture; data mining; IOT; machine learning; decision making.

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