Artificial Intelligence-Based Robust Hybrid Algorithm Design and Implementation for Real-Time Detection of Plant Diseases in Agricultural Environments

The effects on classifier performance of 2D discrete wavelet transform analysis and whale optimization algorithm for recognition of power quality disturbances

(2022) Seçkin Karasu et al.   Cognitive Systems Research

Deep neural network features fusion and selection based on PLS regression with an application for crops diseases classification

(2021) Farah Saeed et al.   APPLIED SOFT COMPUTING

AI-Driven Framework for Recognition of Guava Plant Diseases through Machine Learning from DSLR Camera Sensor Based High Resolution Imagery

(2021) Ahmad Almadhor et al.   SENSORS

A Review of Advanced Technologies and Development for Hyperspectral-Based Plant Disease Detection in the Past Three Decades

(2020) Ning Zhang et al.   Remote Sensing

Automated tomato leaf disease classification using transfer learning-based deep convolution neural network

(2020) Rajasekaran Thangaraj et al.   Journal of Plant Diseases and Protection

Combining Biocontrol Agents with Chemical Fungicides for Integrated Plant Fungal Disease Control

(2020) Lena Ons et al.   Microorganisms

Plant leaf disease classification using EfficientNet deep learning model

(2020) Ümit Atila et al.   Ecological Informatics

Use of thermal imaging and Fourier transform infrared spectroscopy for the pre-symptomatic detection of cucumber downy mildew

(2019) Dong-Mei Wen et al.   EUROPEAN JOURNAL OF PLANT PATHOLOGY

Depthwise separable convolution architectures for plant disease classification

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

Adaptive short-time Fourier transform and synchrosqueezing transform for non-stationary signal separation

(2019) Lin Li et al.   SIGNAL PROCESSING

An optimized model based on convolutional neural networks and orthogonal learning particle swarm optimization algorithm for plant diseases diagnosis

(2019) Ashraf Darwish et al.   Swarm and Evolutionary Computation

Flower pollination algorithm: a comprehensive review

(2018) Mohamed Abdel-Basset et al.   ARTIFICIAL INTELLIGENCE REVIEW

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

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

Recent advances in convolutional neural networks

(2018) Jiuxiang Gu et al.   PATTERN RECOGNITION

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 modified flower pollination algorithm for the multidimensional knapsack problem: human-centric decision making

(2017) Mohamed Abdel-Basset et al.   SOFT COMPUTING

Identifying multiple plant diseases using digital image processing

(2016) Jayme Garcia Arnal Barbedo et al.   BIOSYSTEMS ENGINEERING

Using Deep Learning for Image-Based Plant Disease Detection

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

Machine learning for Big Data analytics in plants

(2014) Chuang Ma et al.   TRENDS IN PLANT SCIENCE

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

(2012) Serge Savary et al.   Food Security

Time-Frequency Representation Based on an Adaptive Short-Time Fourier Transform

(2010) Jingang Zhong et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING