Crop Prediction Based on Soil, Weather, and Market Conditions a Survey

  • Tanuja Patankar, Priyanka Jadhav, Sonal Phulaware, kiran Bagate, Vijay Mundhe

Abstract

The farmers in India are taking lot of efforts but due to wrong selection of crops without knowing proper soil analysis, unpredictable market and monsoon prediction. They are not getting enough returns for their effort which is putting huge pressure on them. These project ideas will provide a solution to farmers by integrating the data acquired from soil analysis, weather analysis and market analysis. After processing on acquired data the farmer get a most applicable crop by considering current environmental conditions.  It will use data processing techniques to predict the most accurate and profitable crop by considering the type of soil, current weather, and market conditions of predicted crop which will increase the income of farmers.

Published
2020-06-04
How to Cite
Tanuja Patankar, Priyanka Jadhav, Sonal Phulaware, kiran Bagate, Vijay Mundhe. (2020). Crop Prediction Based on Soil, Weather, and Market Conditions a Survey. International Journal of Advanced Science and Technology, 29(12s), 2658-2662. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/24758
Section
Articles