@article{3104,
author = "Dhruva Phulsundar and Mitalee Minde and Saurabh Shingte and Shubham Gujare and Dr. S. L. Vaikole",
abstract = "India is an agrarian country with more than two thirds of its population depending directly or indirectly upon agriculture, thousands of crores of rupees are spent every year on farmers through various channels by the government because of inadequate remuneration received by the farmers. One of the major reasons being the lack of technological solutions in the field of agriculture, especially in a developing country like India. Bridging the gap between the demand and supply using technology for all the agro based products will help the farmers as well as the government to make effective decisions. Based on the complexity of prediction by making use of the Random forests machine learning method to its relatively good accuracy, robustness and ease of use for building up a model to eliminate Minimum Support Price a Booking mechanism is developed which helps to keep track of the demand i.e. the need of the market for a particular agro product, and supply i.e. the amount of products that shall be delivered to the market that can be controlled via a mobile application by the farmers for the farmers. The image processing model provides security and helps with the validation of the users. The Mapping function helps the government and farmers in tracking, locating and getting real-time updates of the farm lands being cultivated.",
issn = "23191473",
journal = "IJAIR",
keywords = "Minimum Support Price;Random Forests;Image Processing;Machine Learning;APMC",
month = "November",
number = "3",
pages = "198-207",
title = "{C}entralized {S}ystem to {B}ridge the {G}ap between {S}upply and {D}emand of {A}gro-{P}roducts using {A}.{I}. and {D}ata {A}nalysis",
volume = "8",
year = "2019",
}