Recognizing apple leaf diseases using a novel parallel real‐time processing framework based on MASK RCNN and transfer learning: An application for smart agriculture

Recognition of Apple Leaf Diseases using Deep Learning and Variances-Controlled Features Reduction

(2021) Muqadas Bin Tahir et al.   MICROPROCESSORS AND MICROSYSTEMS

Entropy‐controlled deep features selection framework for grape leaf diseases recognition

(2020) Alishba Adeel et al.   EXPERT SYSTEMS

An automated system for cucumber leaf diseased spot detection and classification using improved saliency method and deep features selection

(2020) Muhammad Attique Khan et al.   MULTIMEDIA TOOLS AND APPLICATIONS

A Sustainable Deep Learning Framework for Object Recognition Using Multi-Layers Deep Features Fusion and Selection

(2020) Muhammad Rashid et al.   Sustainability

Intelligent microscopic approach for identification and recognition of citrus deformities

(2019) Arooj Safdar et al.   MICROSCOPY RESEARCH AND TECHNIQUE

Automated Identification of Wood Veneer Surface Defects Using Faster Region-Based Convolutional Neural Network with Data Augmentation and Transfer Learning

(2019) Augustas Urbonas et al.   Applied Sciences-Basel

Detection and classification of citrus diseases in agriculture based on optimized weighted segmentation and feature selection

(2018) Muhammad Sharif 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

Visual features based boosted classification of weeds for real-time selective herbicide sprayer systems

(2018) Jamil Ahmad et al.   COMPUTERS IN INDUSTRY

Adaptive neuro-heuristic hybrid model for fruit peel defects detection

(2018) Marcin Woźniak et al.   NEURAL NETWORKS

An automated detection and classification of citrus plant diseases using image processing techniques: A review

(2018) Zahid Iqbal et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

CCDF: Automatic system for segmentation and recognition of fruit crops diseases based on correlation coefficient and deep CNN features

(2018) Muhammad Attique Khan et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Detection of Apple Marssonina Blotch Disease Using Particle Swarm Optimization

(2017)   Transactions of the ASABE

Identification of Apple Leaf Diseases Based on Deep Convolutional Neural Networks

(2017) Bin Liu et al.   Symmetry-Basel

Deep Learning for Plant Identification in Natural Environment

(2017) Yu Sun et al.   Computational Intelligence and Neuroscience

Automatic Image-Based Plant Disease Severity Estimation Using Deep Learning

(2017) Guan Wang et al.   Computational Intelligence and Neuroscience

A new automatic method for disease symptom segmentation in digital photographs of plant leaves

(2016) Jayme Garcia Arnal Barbedo   EUROPEAN JOURNAL OF PLANT PATHOLOGY

Using Deep Learning for Image-Based Plant Disease Detection

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

Apple disease classification using color, texture and shape features from images

(2015) Shiv Ram Dubey et al.   Signal Image and Video Processing

Potential of radial basis function-based support vector regression for apple disease detection

(2014) Elham Omrani et al.   MEASUREMENT

Selective Search for Object Recognition

(2013) J. R. R. Uijlings et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Crop losses due to diseases and their implications for global food production losses and food security

(2012) Serge Savary et al.   Food Security