Crop Profit Optimization and Trading Based on Location Tracking for Farmers

Authors

  • Mahesh H. Yadav Department of computer engineering, Dr D Y Patil School of Engineering Lohegaon, pune-47
  • Bhavana D. Teli Department of computer engineering, Dr D Y Patil School of Engineering Lohegaon, pune-47
  • Swati K. Meshram Department of computer engineering, Dr D Y Patil School of Engineering Lohegaon, pune-47
  • Bhavana P. Khairnar Department of computer engineering, Dr D Y Patil School of Engineering Lohegaon, pune-47
  • Prof. Jayashree Chaudhari Assistant Professor, Department of computer engineering, Dr D Y Patil School of Engineering Lohegaon, pune-47

Keywords:

Farming, Profit Optimization, Location tracking, android application, e-service, Naïve Bayes Algorithm, System Analysis etc.

Abstract

Now a days most are moving to the technology to reinforce their business profit, therefore we tend to try to
mix farmers with technology in Associate in Nursing efficient manner. There are some application offered for
farmers, however there's no such application that helps to optimize crop profit. Some don't support GPS chase and
has many problems relating to location chase and search. We tend to are developing automaton application for
farmers that helps them to maximise profit in planting season. We tend to applies here Naïve Thomas Bayes
algorithmic rule to implement the anticipated result. From this predictions farmer will decide whether or not to
conduct specific crop or not. This application has location chase facility that counsel farmers that crops they'll plant
along side this we tend to try to change commercialism facility. Once sure-fire registration by users system can show
list of dealer, retailers, customers, farmers and transporters supported the situation detected by the system.
additionally we tend to are developing e-services that allows all users to examine out all latest updates of market rate,
crop details, marketing and shopping for crop product, seed details, disease data. E-service is employed to synchronize
with automaton app in such method that user will use same id and parole for each the services. Farmers can get data
regarding seed, fertilizers, plant diseases, native market details, etc. The app may be employed by all automaton users
with none price. automaton application are offered in Mahratti, Hindi and West Germanic language.

Published

2017-05-25

How to Cite

Mahesh H. Yadav, Bhavana D. Teli, Swati K. Meshram, Bhavana P. Khairnar, & Prof. Jayashree Chaudhari. (2017). Crop Profit Optimization and Trading Based on Location Tracking for Farmers. International Journal of Advance Research in Engineering, Science & Technology, 4(5), 374–382. Retrieved from https://ijarest.org/index.php/ijarest/article/view/1546