Pest Detection in Crops Using Deep Neural Networks
Author:
Affiliation:
1. Sri Ramakrishna Engineering College,Department of Computer Science and Engineering,Coimbatore,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9784926/9784957/09785155.pdf?arnumber=9785155
Reference20 articles.
1. A Framework for Agricultural Pest and Disease Monitoring Based on Internet-of-Things and Unmanned Aerial Vehicles
2. Deep Neural Networks Based Recognition of Plant Diseases by Leaf Image Classification
3. Plant Disease Identification Based on Deep Learning Algorithm in Smart Farming
4. Identification of Plant-Leaf Diseases Using CNN and Transfer-Learning Approach
5. Modulation Pattern Recognition Based on Resnet50 Neural Network
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1. Comparison of Long Short-Term Memory and Alexnet model for predicting pest in agriculture land;AIP Conference Proceedings;2024
2. Efficient and novel method to predict pest in agriculture land using Long Short-Term Memory compared over inception model;AIP Conference Proceedings;2024
3. Application of CNN Architecture for Insect Identification and Labeling in Peanut Crops;2023 International Conference on Data Science and Network Security (ICDSNS);2023-07-28
4. ARTIFICIAL INTELLIGENCE TECHNIQUES FOR THE PEST DETECTION IN BANANA FIELD: A SYSTEMATIC REVIEW;Pakistan Journal of Biotechnology;2023-06-11
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