Image processing techniques for insect shape detection in field crops-Reference-Cited by-同舟云学术

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Image processing techniques for insect shape detection in field crops

Published:2017-11 Issue: Volume: Page:
ISSN:
Container-title:2017 International Conference on Inventive Computing and Informatics (ICICI)
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Author:

Thenmozhi K.,Reddy U. Srinivasulu

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8360186/8365179/08365226.pdf?arnumber=8365226

Cited by 20 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. Application of Digital Image Processing Techniques for Agriculture: A Review;Digital Image Processing - Latest Advances and Applications;2024-05-14

2. Application of YOLO deep algorithm in detection of crop diseases and insect pests;Proceedings of the 5th International Conference on Computer Information and Big Data Applications;2024-04-26

3. PestLite: A Novel YOLO-Based Deep Learning Technique for Crop Pest Detection;Agriculture;2024-01-31

4. An Innovative Method for Detection of Insect Based on Mask-R-CNN Approach;2023 7th International Conference on Electronics, Communication and Aerospace Technology (ICECA);2023-11-22

5. Role of Artificial Intelligence in Crop Protection;Research Biotica;2023-10-25

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