Hybrid filter and wrapper methods based feature selection for crop recommendation
Author:
Affiliation:
1. Bangalore Institute of Technology,Department of Computer science and Engineering,Bengaluru
2. B.M.S. College of Engineering,Department of Computer science and Engineering,Bengaluru
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9783220/9783472/09783542.pdf?arnumber=9783542
Reference19 articles.
1. An ensemble correlation-based gene selection algorithm for cancer classification with gene expression data
2. A modified genetic algorithm and weighted principal component analysis based feature selection and extraction strategy in agriculture
3. Performance Evaluation of Best Feature Subsets for Crop Yield Prediction Using Machine Learning Algorithms
4. Artificial Neural Networks Based Integrated Crop Recommendation System Using Soil and Climatic Parameters
5. Systems Monitoring and Big Data Analysis Using the Elasticsearch System
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1. Smart Irrigation System By Recommending Crop And Fertilizers;2024 2nd International Conference on Networking and Communications (ICNWC);2024-04-02
2. Big Data Analytics-Based Agro Advisory System for Crop Recommendation Using Spark Platform;Advances in Business Information Systems and Analytics;2023-05-26
3. Recommendation System for Crops Integrating with Specific soil parameters by Machine Learning Techniques;2023 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS);2023-02-18
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