A Comparative study of Data Mining Techniques for Agriculture Crop Price Prediction-Reference-Cited by-同舟云学术

A Comparative study of Data Mining Techniques for Agriculture Crop Price Prediction

Published:2022-04-07 Issue: Volume: Page:
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Container-title:2022 IEEE 7th International conference for Convergence in Technology (I2CT)
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Author:

Hirapara Jignesh¹,Vanjara Pratik¹

Affiliation:

1. Navalben Virani Science College,Department of Computer Science Shree Manibhai Virani & Smt.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9823959/9823960/09824533.pdf?arnumber=9824533

Reference25 articles.

1. CROP MANDI-DEMAND AND PRICE FORECASTING OF AGRICULTURAL CROPS THROUGH MOBILE APPLICATION;manjunath;International Journal of Applied Science and Engineering Research,2018

2. Crop mandi-demand and price forecasting of agricultural crops through a mobile application;manjunath;International Journal of Applied Science and Engineering Research,2018

3. GreenFarm-DM: A tool for analyzing vegetable crops data from a greenhouse using data mining techniques (First trial)

4. Analysis of agriculture data using data mining techniques: application of big data

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