Comparison of RSNET model with existing models for potato leaf disease detection

This publication has 10 references indexed in Scilit:

• Performance evaluation of plant leaf disease detection using deep learning models
  Archives of Phytopathology and Plant Protection, 2023
• A novel multi-head CNN design to identify plant diseases using the fusion of RGB images
  Ecological Informatics, 2023
• Inception convolutional vision transformers for plant disease identification
  Internet of Things, 2022
• Deep learning system for paddy plant disease detection and classification
  Environmental Monitoring and Assessment, 2022
• A Review on Recognition of Plant Disease using Intelligent Image Retrieval Techniques
  Asian Journal of Biological and Life Sciences, 2021
• SIE-EVD: A Novel Satellite Image Enhancement Technique with Quality Metrices for Effective Visual Display using CBIR
  International Journal of Advanced Trends in Computer Science and Engineering, 2020
• Disease Spots Identification of Potato Leaves in Hyperspectral Based on Locally Adaptive 1D-CNN
  2020
• Identification and recognition of rice diseases and pests using convolutional neural networks
  Biosystems Engineering, 2020
• Deep learning in agriculture: A survey
  Computers and Electronics in Agriculture, 2018
• Deep learning
  Nature, 2015