Machine Learning-Based Crop Prediction: A Way Towards Smart Farming-Reference-Cited by-同舟云学术

Machine Learning-Based Crop Prediction: A Way Towards Smart Farming

Published:2022-11-25 Issue: Volume: Page:
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Container-title:2022 Seventh International Conference on Parallel, Distributed and Grid Computing (PDGC)
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Author:

Prakash Kalari¹,Harsha Kanaparthi Sai Sreenidhi¹,Jeevan Puchakayala Sai¹,Chandran Lekshmi R.¹,T.S. Angel¹

Affiliation:

1. Amrita Vishwa Vidyapeetham,Department of Electrical and Electronics Engineering,Amritapuri,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10053087/10053091/10053140.pdf?arnumber=10053140

Reference21 articles.

1. Sugarcane Crop prediction Using Supervised Machine Learning;medar;International Journal of Intelligent Systems and Applications,2019

2. Rainfall Prediction using Machine Learning;parmar;2017 International Conference on (ICIIECS) at Coimbatore,2017

3. Evaluationof Machine Learning Algorithms for Crop Prediction;renuka;Published in International Journal of Engineering and Advanced Technology (IJEAT),2019

4. Machine learning methods for crop yield prediction and climate change impact assessment in agriculture;droesch,2018

5. Comparison Of Machine Learning Algorithms For Detection Of Medicinal Plants

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