An Innovative Method for Detection of Insect Based on Mask-R-CNN Approach-Reference-Cited by-同舟云学术

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An Innovative Method for Detection of Insect Based on Mask-R-CNN Approach

Published:2023-11-22 Issue: Volume:38 Page:559-564
ISSN:
Container-title:2023 7th International Conference on Electronics, Communication and Aerospace Technology (ICECA)
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Author:

Geetha B.T.¹,Jiwatode Vilas Ramkrushna²,Raut Ranjit Raosaheb³,Hussan M.I. Thariq⁴,Tiwari Mohit⁵,Dobhal Dinesh Chandra⁶

Affiliation:

1. Saveetha School of Engineering, SIMATS,Department of ECE,Chennai,Tamil Nadu

2. Shri Sadguru Gangagir Maharaj Science, Gautam Arts And Sanjeevani Commerce College,Department of Zoology,Kopargaon,Maharashtra,India

3. Yogeshwari Mahavidyalaya,Department of Zoology,Beed,Maharashtra,India

4. IT & CSE(IOT), Guru Nanak Institutions Technical Campus,Hyderabad,Telangana,India

5. Bharati Vidyapeeth's College of Engineering,Department of Computer Science and Engineering,Delhi,India

6. Graphic Era Deemed to be University,Department of Computer Science & Engineering,Dehradun,Uttarakhand,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10394672/10394681/10395729.pdf?arnumber=10395729

Reference26 articles.

1. Global food security, biodiversity conservation and the future of agricultural intensification

2. Detection techniques for stored-product insects in grain

3. Efficient Method for Tomato Leaf Disease Detection and Classification based on Hybrid Model of CNN and Extreme Learning Machine

4. Weighted Mask Recurrent-Convolutional Neural Network based Plant Disease Detection using Leaf Images

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