AlexNet Convolutional Neural Network for Disease Detection and Classification of Tomato Leaf

Improved crossover based monarch butterfly optimization for tomato leaf disease classification using convolutional neural network

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A Review of Recent Deep Learning Approaches in Human-Centered Machine Learning

(2021) Tharindu Kaluarachchi et al.   SENSORS

Identification of Plant-Leaf Diseases Using CNN and Transfer-Learning Approach

(2021) Sk Mahmudul Hassan et al.   Electronics

Tomato Leaf Disease Diagnosis Based on Improved Convolution Neural Network by Attention Module

(2021) Shengyi Zhao et al.   Agriculture-Basel

Dual-branch, efficient, channel attention-based crop disease identification

(2021) Ronghua Gao et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep feature based rice leaf disease identification using support vector machine

(2020) Prabira Kumar Sethy et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Using deep transfer learning for image-based plant disease identification

(2020) Junde Chen et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Early recognition of tomato gray leaf spot disease based on MobileNetv2-YOLOv3 model

(2020) Jun Liu et al.   Plant Methods

Identification of plant leaf diseases using a nine-layer deep convolutional neural network

(2019) Geetharamani G. et al.   COMPUTERS & ELECTRICAL ENGINEERING

Depthwise separable convolution architectures for plant disease classification

(2019) Kamal KC et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Attention embedded residual CNN for disease detection in tomato leaves

(2019) Karthik R. et al.   APPLIED SOFT COMPUTING

Identification of Tomato Disease Types and Detection of Infected Areas Based on Deep Convolutional Neural Networks and Object Detection Techniques

(2019) Qimei Wang et al.   Computational Intelligence and Neuroscience

A comparative study of fine-tuning deep learning models for plant disease identification

(2018) Edna Chebet Too et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Impact of dataset size and variety on the effectiveness of deep learning and transfer learning for plant disease classification

(2018) Jayme Garcia Arnal Barbedo   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A fusion approach based on infrared finger vein transmitting model by using multi-light-intensity imaging

(2017) Liukui Chen et al.   Human-centric Computing and Information Sciences