Optimizing Agricultural Productivity: A Data-Driven Ensemble Model for Crop Recommendation Based on Site-Specific Characteristics and Weather Conditions in India-Reference-Cited by-同舟云学术

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Optimizing Agricultural Productivity: A Data-Driven Ensemble Model for Crop Recommendation Based on Site-Specific Characteristics and Weather Conditions in India

Published:2024-01-24 Issue: Volume:2 Page:1-4
ISSN:
Container-title:2024 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)
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Author:

S Sandeep Kumar¹,T Vaikunta Pai²,M Ashwin Shenoy³,S Santhosh⁴,V S Rakesh⁵,B S Prashanth⁶

Affiliation:

1. Nitte (Deemed to be University),NMAM Institute of Technology (NMAMIT),Dept. of CCE,Udupi,India

2. Nitte (Deemed to be University),NMAM Institute of Technology (NMAMIT),Dept. of ISE.,Udupi

3. Nitte (Deemed to be University),NMAM Institute of Technology (NMAMIT),Dept. of CSE.,Udupi,India

4. Nitte (Deemed to be University),NMAM Institute of Technology (NMAMIT),Dept. of ISE.,Udupi,India

5. Cambridge Institute of Technology,VTU,Dept. of CSE.,Belagavi,India

6. Nitte Meenakshi Institute of Technology (NMIT),Dept. of ISE.,Bangalore,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10467176/10467219/10467680.pdf?arnumber=10467680

Reference11 articles.

1. Crop Prediction Techniques;Lamba,2014

2. Crop Selection Method to maximize crop yield rate using machine learning technique

3. The Design of Hybrid Crop Recommendation System using Machine Learning Algorithms

4. Implementation of Machine Learning Algorithms for Crop Recommendation Using Precision Agriculture;Akshatha;International Journal of Research in Engineering, Science and Management,2018

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