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

Detecting cassava mosaic disease using a deep residual convolutional neural network with distinct block processing

(2021) David Opeoluwa Oyewola et al.   PeerJ Computer Science

Automated disease classification in (Selected) agricultural crops using transfer learning

(2020) Krishnaswamy Rangarajan Aravind  et al.   Automatika

Few-shot cotton pest recognition and terminal realization

(2020) Yang Li et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

New perspectives on plant disease characterization based on deep learning

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

Crop leaf disease recognition based on Self-Attention convolutional neural network

(2020) Weihui Zeng 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

Acoustic-decoy: Detection of adversarial examples through audio modification on speech recognition system

(2020) Hyun Kwon et al.   NEUROCOMPUTING

A Mobile-Based Deep Learning Model for Cassava Disease Diagnosis

(2019) Amanda Ramcharan et al.   Frontiers in Plant Science

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

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

Rice heading stage automatic observation by multi-classifier cascade based rice spike detection method

(2018) Xiaodong Bai et al.   AGRICULTURAL AND FOREST METEOROLOGY

Deep learning in agriculture: A survey

(2018) Andreas Kamilaris et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep learning models for plant disease detection and diagnosis

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

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

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

Deep Learning for Plant Species Classification using Leaf Vein Morphometric

(2018) Jing Wei Tan et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Semi-automatic leaf disease detection and classification system for soybean culture

(2018) Sukhvir Kaur et al.   IET Image Processing

Bacterial Foraging Optimization Based Radial Basis Function Neural Network (BRBFNN) for Identification and Classification of Plant Leaf Diseases: An Automatic Approach Towards Plant Pathology

(2018) Siddharth Singh Chouhan et al.   IEEE Access

Plant identification using deep neural networks via optimization of transfer learning parameters

(2017) Mostafa Mehdipour Ghazi et al.   NEUROCOMPUTING

How Deep Learning Extracts and Learns Leaf Features for Plant Classification

(2017) Sue Han Lee et al.   PATTERN RECOGNITION

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

(2017) Alvaro Fuentes et al.   SENSORS

Deep Learning for Image-Based Cassava Disease Detection

(2017) Amanda Ramcharan et al.   Frontiers in Plant Science

Using Deep Learning for Image-Based Plant Disease Detection

(2016) Sharada P. Mohanty et al.   Frontiers in Plant Science

Deep Neural Networks Based Recognition of Plant Diseases by Leaf Image Classification

(2016) Srdjan Sladojevic et al.   Computational Intelligence and Neuroscience

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Comparison of two aerial imaging platforms for identification of Huanglongbing-infected citrus trees

(2013) Francisco Garcia-Ruiz et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Rice diseases classification using feature selection and rule generation techniques

(2012) Santanu Phadikar et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Image pattern classification for the identification of disease causing agents in plants

(2009) A. Camargo et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

An image-processing based algorithm to automatically identify plant disease visual symptoms

(2008) A. Camargo et al.   BIOSYSTEMS ENGINEERING