PestDetector: A Deep Convolutional Neural Network to Detect Jute Pests-Reference-Cited by-同舟云学术

PestDetector: A Deep Convolutional Neural Network to Detect Jute Pests

Published:2022-12-17 Issue: Volume: Page:
ISSN:
Container-title:2022 4th International Conference on Sustainable Technologies for Industry 4.0 (STI)
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Author:

Karim Dewan Ziaul¹,Bushra Tasfia Anika²,Saif Muntasir Mahmud¹

Affiliation:

1. Brac University,Department of Computer Science and Engineering,Bangladesh

2. Daffodil International University,Department of Computer Science and Engineering,Bangladesh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10103226/10103227/10103326.pdf?arnumber=10103326

Reference26 articles.

1. Prediction of Rice Disease from Leaves using Deep Convolution Neural Network towards a Digital Agricultural System

2. An Internet of Things assisted Unmanned Aerial Vehicle based artificial intelligence model for rice pest detection

3. Intelligent Identification of Jute Pests Based on Transfer Learning and Deep Convolutional Neural Networks

4. YOLO-JD: A Deep Learning Network for Jute Diseases and Pests Detection from Images

5. Classification of pest detection in paddy crop based on transfer learning approach. Acta Agriculturae Scandinavica;malathi;Section B—Soil & Plant Science,2021

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