Computer Vision Based Detection of Weed in Ginger and Sugarcane Crop for Automated Farming System

Author:

Shilaskar Swati1,Gholap Rushikesh1,Bhatlawande Shripad1,Ranade Nishad1,Ghadge Shubham1

Affiliation:

1. VIT,E&TC Dept,Pune

Publisher

IEEE

Reference19 articles.

1. Classification of crops and weeds from digital images: A support vector machine approach;faisal;Crop Protection,2012

2. A Comprehensive Survey for Weed Classification and Detection in Agriculture Lands;krishnan;Journal of Information Technology,2021

3. Early weed detection using image processing and machine learning techniques in an Australian chilli farm;nahina;Agriculture,2021

4. Identification of weeds based on hyperspectral imaging and machine learning;yanjie;Frontiers in Plant Science,2021

5. Classification of crops and weeds from digital images: A support vector machine approach;faisal;Crop Protection,2012

Cited by 1 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. Hybrid CNN & Random Forest Model for Effective Ginger Leaf Disease Diagnosis;2024 4th International Conference on Innovative Practices in Technology and Management (ICIPTM);2024-02-21

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