A Systematic Analysis of Machine Learning and Deep Learning Based Approaches for Plant Leaf Disease Classification: A Review

Deep transfer modeling for classification of Maize Plant Leaf Disease

(2022) Rajeev Kumar Singh et al.   MULTIMEDIA TOOLS AND APPLICATIONS

A cognitive vision method for the detection of plant disease images

(2021) Junde Chen et al.   MACHINE VISION AND APPLICATIONS

Plant diseases and pests detection based on deep learning: a review

(2021) Jun Liu et al.   Plant Methods

Plant Leaf Disease Recognition Using Depth-Wise Separable Convolution-Based Models

(2021) Syed Mohammad Minhaz Hossain et al.   Symmetry-Basel

Dense convolutional neural networks based multiclass plant disease detection and classification using leaf images

(2021) Vaibhav Tiwari et al.   Ecological Informatics

New perspectives on plant disease characterization based on deep learning

(2020) Sue Han Lee et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A novel PCA–whale optimization-based deep neural network model for classification of tomato plant diseases using GPU

(2020) Thippa Reddy Gadekallu et al.   Journal of Real-Time Image Processing

Optimizing Pretrained Convolutional Neural Networks for Tomato Leaf Disease Detection

(2020) Iftikhar Ahmad et al.   COMPLEXITY

Plant disease detection using computational intelligence and image processing

(2020) Vibhor Kumar Vishnoi et al.   Journal of Plant Diseases and Protection

Rice plant disease classification using color features: a machine learning paradigm

(2020) Vimal K. Shrivastava et al.   JOURNAL OF PLANT PATHOLOGY

Plant leaf disease classification using EfficientNet deep learning model

(2020) Ümit Atila et al.   Ecological Informatics

Plant Disease Detection and Classification by Deep Learning

(2019) Saleem et al.   Plants-Basel

Attention embedded residual CNN for disease detection in tomato leaves

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

Crop conditional Convolutional Neural Networks for massive multi-crop plant disease classification over cell phone acquired images taken on real field conditions

(2019) Artzai Picon et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

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

Factors influencing the use of deep learning for plant disease recognition

(2018) Jayme G.A. Barbedo   BIOSYSTEMS ENGINEERING

Deep learning models for plant disease detection and diagnosis

(2018) Konstantinos P. Ferentinos   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Plant diseased leaf segmentation and recognition by fusion of superpixel, K-means and PHOG

(2018) Shanwen Zhang et al.   OPTIK

A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition

(2017) Alvaro Fuentes et al.   SENSORS

A review on the main challenges in automatic plant disease identification based on visible range images

(2016) Jayme Garcia Arnal Barbedo   BIOSYSTEMS ENGINEERING