RANC-CROP Recommendation Attributed to Soil Nutrients and Stock Analysis Using Machine Learning-Reference-Cited by-同舟云学术

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RANC-CROP Recommendation Attributed to Soil Nutrients and Stock Analysis Using Machine Learning

Published:2022-04-27 Issue: Volume: Page:1-13
ISSN:0377-2063
Container-title:IETE Journal of Research
language:en
Short-container-title:IETE Journal of Research

Author:

Daniel Jesline¹,Shyamala R.²,Pugalenthi R.¹,Mohan Kumar P.³

Affiliation:

1. Department of Computer Science and Engineering, St. Joseph’s College of Engineering, Chennai, 600119, India

2. Department of Information Technology, University College of Engineering, Tindivanam, India

3. Department of Computer Science and Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, 641008, India

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Computer Science Applications,Theoretical Computer Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/03772063.2022.2060868

Reference36 articles.

1. Crop yield prediction using machine learning: A systematic literature review

2. Crop Yield Prediction through Proximal Sensing and Machine Learning Algorithms

3. Machine learning methods for crop yield prediction and climate change impact assessment in agriculture

4. Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review

5. Performance Evaluation of Best Feature Subsets for Crop Yield Prediction Using Machine Learning Algorithms

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Farm-Level Smart Crop Recommendation Framework Using Machine Learning;Annals of Data Science;2024-07-20

2. Hybrid Optimized Gated Recurrent Unit with Ridge Classifier for Crop Recommendation for Precise Agriculture Using Fused Feature Selection Concept;International Journal on Artificial Intelligence Tools;2024-06

3. Remote Sensing and Decision Support System Applications in Precision Agriculture: Challenges and Possibilities;IEEE Access;2024

4. IoT-Enabled Crop Recommendation in Smart Agriculture Using Machine Learning;2023 14th International Conference on Information, Intelligence, Systems & Applications (IISA);2023-07-10

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