A Hybrid Approach for Crop Yield Prediction using Supervised Machine Learning-Reference-Cited by-同舟云学术

A Hybrid Approach for Crop Yield Prediction using Supervised Machine Learning

Published:2022-04-21 Issue: Volume: Page:
ISSN:
Container-title:2022 8th International Conference on Smart Structures and Systems (ICSSS)
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Author:

Patil Manoj Eknath¹,Roshini M.²,Chitrarupa Matimpati³,Laxmaiah Bagam⁴,Arun S.⁵,Thiagarajan R.⁶

Affiliation:

1. SSBT'S college of Engineering and Technology Bambhori jalgaon,Department of CSE

2. Mother Theresa Institute of Engineering and Technology Chittoor,Department of CSE,AP

3. Sree venkateswara college of engineering,Department of CSE,Nellore,Ap

4. CMR Technical CAMPUS,Department of CSE

5. Prathyusha Engineering College,Department of ECE,Chennai,India

6. Prathyusha Engineering College,Department of IT,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9782157/9782158/09782272.pdf?arnumber=9782272

Reference23 articles.

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2. Agricultural Crop Yield Prediction using Artificial Neural Network Approach;snehal;Int J Innov Res Elect Electr Instrum Cont Eng 2,2014

3. Use of Data Mining in Crop Yield Prediction;shrutimishra;International Conference on Inventive Systems and Control,2018

4. Tvdi Based Crop Yield Prediction Model for Stressed Surface;chaun;International conference onAutonous Region,2007

5. Applying Data Mining Techniques to Predict Annual Yield of Major Crops and Recommend Planting Different Crops in Different Districts in Bangladesh;shakilahamed;IEEE Paper,2015

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