Analyzing Supervised Learning Algorithms for Crop Prediction and Soil Quality-Reference-Cited by-同舟云学术

Analyzing Supervised Learning Algorithms for Crop Prediction and Soil Quality

Published:2022-03-29 Issue: Volume: Page:
ISSN:
Container-title:2022 6th International Conference on Computing Methodologies and Communication (ICCMC)
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Author:

Babber Janhavi¹,Malik Preeti¹,Mittal Varsha¹,Purohit Kamlesh Chandra¹

Affiliation:

1. Graphic Era Deemed to be University,Department of CSE,Dehradun,INDIA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9752772/9753686/09753798.pdf?arnumber=9753798

Reference35 articles.

1. Study on Performance of Classification Algorithms Based on the Sample Size for Crop Prediction;rajeshwari;International Conference on Computational Vision and Bio Inspired Computing,2019

2. Study of Variants of Extreme Learning Machine (ELM) Brands and its Performance Measure on Classification Algorithm;manoharan;Journal of Soft Computing Paradigm (JSCP),2021

3. Survey on evolving deep learning neural network architectures;bashar;Journal of Artificial Intelligence,2019

4. Point Measurement Techniques and Radar Remote Sensing Technique Using for Soil Moisture Estimation: A Literature Review;chamoli;Journal of Graphic Era University,2021

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2. Crop Prediction Model Using Machine Learning Algorithms;Applied Sciences;2023-08-16

3. Application of ML in Crop Selection for Precision Agriculture;2023 International Conference on Digital Applications, Transformation & Economy (ICDATE);2023-07-14

4. Smart Agriculture Monitoring and Controlling System using Multi-agents model;2023 5th International Conference on Bio-engineering for Smart Technologies (BioSMART);2023-06-07