A systematic review of deep learning techniques for plant diseases
Agriculture is one of the most crucial sectors, meeting the fundamental food needs of
humanity. Plant diseases increase food economic and food security concerns for countries …
humanity. Plant diseases increase food economic and food security concerns for countries …
Deep learning-based leaf disease detection in crops using images for agricultural applications
The agricultural sector plays a key role in supplying quality food and makes the greatest
contribution to growing economies and populations. Plant disease may cause significant …
contribution to growing economies and populations. Plant disease may cause significant …
Analysis of ton-iot, unw-nb15, and edge-iiot datasets using dl in cybersecurity for iot
The IoT's quick development has brought up several security problems and issues that
cannot be solved using traditional intelligent systems. Deep learning (DL) in the field of …
cannot be solved using traditional intelligent systems. Deep learning (DL) in the field of …
Few‐shot learning for plant disease recognition: A review
Monitoring plant diseases is essential for farmers to secure crop quantity and quality. Deep
learning has recently been applied to plant disease recognition to help farmers take prompt …
learning has recently been applied to plant disease recognition to help farmers take prompt …
Potato blight detection using fine-tuned CNN architecture
Potato is one of the major cultivated crops and provides occupations and livelihoods for
numerous people across the globe. It also contributes to the economic growth of develo** …
numerous people across the globe. It also contributes to the economic growth of develo** …
A new mobile convolutional neural network-based approach for pixel-wise road surface crack detection
In recent years, the worldwide road network has grown rapidly and reached an enormous
size. Parallel to this size of the road network, the imperfections on the road surfaces are just …
size. Parallel to this size of the road network, the imperfections on the road surfaces are just …
Automated door placement in architectural plans through combined deep-learning networks of ResNet-50 and Pix2Pix-GAN
Previous studies on automating building design with deep learning primarily focused on
planning room layouts, limiting the design of architectural elements such as doors and …
planning room layouts, limiting the design of architectural elements such as doors and …
Privacy-enhanced pneumonia diagnosis: IoT-enabled federated multi-party computation in industry 5.0
Pneumonia is a significant global health concern that can lead to severe and sometimes
fatal consequences. Timely identification and classification of pneumonia can substantially …
fatal consequences. Timely identification and classification of pneumonia can substantially …
Computer vision-based platform for apple leaves segmentation in field conditions to support digital phenoty**
A Uryasheva, A Kalashnikova, D Shadrin… - … and Electronics in …, 2022 - Elsevier
Computer vision and machine learning have recently been applied to a number of sensing
platforms, boosting their performance to a new level. These advances have shown the vast …
platforms, boosting their performance to a new level. These advances have shown the vast …
EfficientNetB3-adaptive augmented deep learning (AADL) for multi-class plant disease classification
Plant diseases can significantly impact agricultural productivity if not promptly identified and
treated. Traditional plant disease classification methods are often challenging and time …
treated. Traditional plant disease classification methods are often challenging and time …