Machine Learning Techniques in Wheat Crop Yield Prediction Using NDVI Indices and Meteorological Parameters-Reference-Cited by-同舟云学术

Machine Learning Techniques in Wheat Crop Yield Prediction Using NDVI Indices and Meteorological Parameters

Published:2023-11-15 Issue: Volume:6 Page:1165-1169
ISSN:
Container-title:2023 International Conference on Sustainable Communication Networks and Application (ICSCNA)
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Author:

Pargaien Saurabh¹,Prakash Rishi²,Dubey Ved Prakash³,Singh Devendra⁴

Affiliation:

1. Graphic Era Hill University, Bhimtal Campus, Graphic Era Deemed to be University,Department of Electronics and Communication Engineering,Dehradun,India

2. Graphic Era Deemed to be University,Department of Electronics and Communication Engineering,Dehradun,India

3. Graphic Era Hill University,Department of Computer Science and Engineering,Dehradun,India

4. Graphic Era Hill University, Bhimtal Campus,Department of Computer Science and Engineering,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10370002/10368600/10370097.pdf?arnumber=10370097

Reference15 articles.

1. A Model for Prediction of Crop Yield;Manjula;International Journal of Computational Intelligence and Informatics,2017

2. Predict Crop Production in India Using Machine Learning Technique: A Survey

3. Applications of Machine Learning Techniques in Agricultural Crop Production: A Review Paper

4. Crop Yield Prediction Using Machine Learning Algorithms

5. Deep learning models for plant disease detection and diagnosis

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