Lightweight and Reliable Deep Learning Model for Plant Disease Detection
Author:
Affiliation:
1. Delhi Technological University,Dept. of Computer Science & Engg.,Delhi,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10176330/10176362/10176369.pdf?arnumber=10176369
Reference23 articles.
1. An open access repository of images on plant health to enable the development of mobile disease diagnostics;hughes;ArXiv,2016
2. Machine Learning in Agriculture: A Comprehensive Updated Review
3. Review on Mobile Application Development Based on Flutter Platform
4. Less is More: Lighter and Faster Deep Neural Architecture for Tomato Leaf Disease Classification
5. Color-Aware Two-Branch DCNN for Efficient Plant Disease Classification
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2. A Deep Learning Approach to Potato Late Blight Detection: Developing and Evaluating a Lightweight Single-Stage Detection Model;Lecture Notes in Networks and Systems;2024
3. Benchmarking CNN Models for Black Pepper Diseases and Malnutrition Prediction;2023 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET);2023-09-12
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