Image-based crop disease detection with federated learning

Fusion of Satellite Images and Weather Data With Transformer Networks for Downy Mildew Disease Detection

(2023) William Maillet et al.   IEEE Access

Plant Disease Identification Using a Novel Convolutional Neural Network

(2022) Sk Mahmudul Hassan et al.   IEEE Access

Classification of Rice Diseases using Convolutional Neural Network Models

(2022) Rajesh Yakkundimath et al.   Journal of The Institution of Engineers (India): Series B

A deep learning based approach for automated plant disease classification using vision transformer

(2022) Yasamin Borhani et al.   Scientific Reports

Convolutional Neural Networks in Detection of Plant Leaf Diseases: A Review

(2022) Bulent Tugrul et al.   Agriculture-Basel

Federated learning-based AI approaches in smart healthcare: concepts, taxonomies, challenges and open issues

(2022) Anichur Rahman et al.   Cluster Computing-The Journal of Networks Software Tools and Applications

Convolution Network Enlightened Transformer for Regional Crop Disease Classification

(2022) Yawei Wang et al.   Electronics

Identification of plant leaf diseases by deep learning based on channel attention and channel pruning

(2022) Riyao Chen et al.   Frontiers in Plant Science

A survey on federated learning

(2021) Chen Zhang et al.   KNOWLEDGE-BASED SYSTEMS

Computer Vision, IoT and Data Fusion for Crop Disease Detection Using Machine Learning: A Survey and Ongoing Research

(2021) Maryam Ouhami et al.   Remote Sensing

PEFL: Deep Privacy-Encoding-Based Federated Learning Framework for Smart Agriculture

(2021) Prabhat Kumar et al.   IEEE MICRO

Federated Learning: Challenges, Methods, and Future Directions

(2020) Tian Li et al.   IEEE SIGNAL PROCESSING MAGAZINE

Vine disease detection in UAV multispectral images using optimized image registration and deep learning segmentation approach

(2020) Mohamed Kerkech et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A survey on security and privacy of federated learning

(2020) Viraaji Mothukuri et al.   Future Generation Computer Systems-The International Journal of eScience

Federated Machine Learning

(2019) Qiang Yang et al.   ACM Transactions on Intelligent Systems and Technology

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

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

Deep leaning approach with colorimetric spaces and vegetation indices for vine diseases detection in UAV images

(2018) Mohamed Kerkech et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A systematic analysis of performance measures for classification tasks

(2009) Marina Sokolova et al.   INFORMATION PROCESSING & MANAGEMENT