Open AccessPROJECT AGRO
Author(s) -
Abhishek Gowda S,
S Chirag,
C R Manjunath
Publication year - 2017
Publication title -
international journal of research - granthaalayah
Language(s) - English
Resource type - Journals
eISSN - 2394-3629
pISSN - 2350-0530
DOI - 10.29121/granthaalayah.v5.i6.2017.1992
Subject(s) - agriculture , production (economics) , product (mathematics) , business , crop , agricultural economics , agricultural productivity , agricultural science , agroforestry , agricultural engineering , economics , geography , engineering , environmental science , mathematics , forestry , geometry , archaeology , macroeconomics
Agricultural is the backbone of Indian economy. India is the second largest country in the production of agricultural product. Farmers cultivate their crops against problems like monsoon failure, lack of water availability, etc. But even after they harvest their crop they are not getting proper marketing facility for their crop. We are proposing a system which reduces the gap between farmers and the consumers, which increases economic status of farmers and also provide the necessary knowledge required by the farmers for further crop production. In the survey the following details are gathered from the farmers, farmer’s details, past crops grown by them, area of agriculture land owned by them, past crop selling price, location of agriculture land, water availability etc. On the above details artificial neural nets machine learning models and Bayes data mining concepts are applied thorough which we can predict the current market for farmers along with that we can also provide the information about the type of crop they can grow to increase the crop production in future.