Crop Yield Prediction Using Data Analytics and Hybrid Approach

被引：0
|
作者：
Bhosale, Shreya V. [1 ]
Thombare, Ruchita A. [1 ]
Dhemey, Prasanna G. [1 ]
Chaudhari, Anagha N. [1 ]
机构：
[1] Pimpri Chinchwad Coll Engn, Dept Informat Technol, Pune, Maharashtra, India
来源：
2018 FOURTH INTERNATIONAL CONFERENCE ON COMPUTING COMMUNICATION CONTROL AND AUTOMATION (ICCUBEA) | 2018年
关键词：
Big data; K-Means clustering; Apriori; Naive Bayes (key words); Agriculture;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Agricultural data is being produced constantly and enourmosly. As a result, agricultural data has come in the era of big data. Smart technologies contribute in data collection using electronic devices. In our project we are going to analyse and mine this agricultural data to get useful results using technologies like data analytics and machine learning and this result will be given to farmers for better crop yield in terms of efficiency and productivity.
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页数：5
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