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Comparative Analysis on Crop Yield Forecasting using Machine Learning Techniques Cover

Comparative Analysis on Crop Yield Forecasting using Machine Learning Techniques

Rural Sustainability Research
Volume 52 (2024): Issue 347 (December 2024)
By: Shubham Sharma,  Gurleen Kaur Walia,  Kanwalpreet Singh,  Vanshika Batra,  Amandeep Kaur Sekhon,  Aniket Kumar,  Kirti Rawal and  Deepika Ghai  
Open Access
|Dec 2024

Authors

Shubham Sharma

Department of Computer Science and Engineering (UIET, Hoshiarpur), Panjab University, Chandigarh, India

Gurleen Kaur Walia

School of Electronics and Electrical Engineering, Lovely Professional University, Phagwara, India

Kanwalpreet Singh

malhi.kanwalpreet@gmail.com

Department of Computer Science and Engineering (UIET, Hoshiarpur), Panjab University, Chandigarh, India
Chandigarh University, Mohali, India

Vanshika Batra

Department of Computer Science and Engineering (UIET, Hoshiarpur), Panjab University, Chandigarh, India

Amandeep Kaur Sekhon

Department of Computer Science and Engineering (UIET, Hoshiarpur), Panjab University, Chandigarh, India

Aniket Kumar

Department of Computer Science and Engineering (UIET, Hoshiarpur), Panjab University, Chandigarh, India

Kirti Rawal

School of Electronics and Electrical Engineering, Lovely Professional University, Phagwara, India

Deepika Ghai

School of Electronics and Electrical Engineering, Lovely Professional University, Phagwara, India
DOI: https://doi.org/10.2478/plua-2024-0015 | Journal eISSN: 2256-0939
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Language: English
Page range: 63 - 77
Submitted on: Feb 20, 2024
Accepted on: Nov 12, 2024
Published on: Dec 31, 2024
Published by: Latvia University of Life Sciences and Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
crop yield,
machine learning,
deep learning,
regression,
prediction,
extra trees,
random forest,
artificial neural network
Related subjects:
Life sciences,
Biotechnology,
Plant science,
Ecology

© 2024 Shubham Sharma, Gurleen Kaur Walia, Kanwalpreet Singh, Vanshika Batra, Amandeep Kaur Sekhon, Aniket Kumar, Kirti Rawal, Deepika Ghai, published by Latvia University of Life Sciences and Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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