Detection of Cotton Plant Disease for Fast Monitoring Using Enhanced Deep Learning Technique
Author:
Affiliation:
1. Delhi Technological University (DTU),Department of Electronics and Communication,Delhi,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9707901/9707891/09708045.pdf?arnumber=9708045
Reference17 articles.
1. Identification of plant leaf diseases using a nine-layer deep convolutional neural network
2. A Survey of Deep Convolutional Neural Networks Applied for Prediction of Plant Leaf Diseases
3. ToLeD: Tomato Leaf Disease Detection using Convolution Neural Network
4. Plant leaf disease classification using EfficientNet deep learning model
5. Deep learning models for plant disease detection and diagnosis
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1. Identification Emoticon Meaning using Facial Expression via Inception V3 as Well as KNN Methods;2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE);2024-05-14
2. Cotton Leaf Disease Prediction and Diagnosis Using Deep Learning;2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI);2024-05-09
3. CoDet: A novel deep learning pipeline for cotton plant detection and disease identification;Automatika;2024-02-13
4. A Deep Learning Approach for Unveiling Disease Patterns in Diverse Crops;2023 IEEE 2nd International Conference on Data, Decision and Systems (ICDDS);2023-12-01
5. Cotton Leaf Disease Classification using Deep Convolution Neural Network with Explainable AI;2023 International Conference on Sustainable Communication Networks and Application (ICSCNA);2023-11-15
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