End-to-End Jute-Pest Detection By Explainable Lightweight CNN
Author:
Affiliation:
1. Rajshahi University of Engineering & Technology,Dept. of Electronics & Telecommunication Engineering,Rajshahi,Bangladesh
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10534252/10534311/10534581.pdf?arnumber=10534581
Reference12 articles.
1. Intelligent Identification of Jute Pests Based on Transfer Learning and Deep Convolutional Neural Networks
2. Prediction of major pest incidence in Jute crop based on weather variables using statistical and machine learning models: A case study from West Bengal
3. Incidence of pests in jute (Corchorus olitoriusL.) ecosystem and pest–weather relationships in West Bengal, India
4. JutePestDetect: An intelligent approach for jute pest identification using fine-tuned transfer learning
5. Supervised Deep Learning based Leaf Disease and Pest Detection using Image Processing
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