MRISVM: A Object Detection and Feature Vector Machine Based Network for Brown Mite Variation in Wheat Plant-Reference-Cited by-同舟云学术

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MRISVM: A Object Detection and Feature Vector Machine Based Network for Brown Mite Variation in Wheat Plant

Published:2022-10-25 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Data Analytics for Business and Industry (ICDABI)
language:
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Author:

Kumar Deepak¹,Kukreja Vinay¹

Affiliation:

1. Chitkara University Institute of Engineering and Technology, Chitkara University,Punjab,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10041434/10041254/10041700.pdf?arnumber=10041700

Reference15 articles.

1. Recognition and counting of wheat mites in wheat fields by a three-step deep learning method

2. Object Detection Based 2CNN Employing Fully Convolutional Architectures;ren;Math Probl Eng,2018

3. Biology and Management Strategies of Major Insect-Pests of Wheat

4. InsectCV: A system for insect detection in the lab from trap images

5. Pest Identification and Counting of Yellow Plate in Field Based on Improved Mask R-CNN

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