[HTML][HTML] Convolutional neural networks in detection of plant leaf diseases: A review
Rapid improvements in deep learning (DL) techniques have made it possible to detect and
recognize objects from images. DL approaches have recently entered various agricultural …
recognize objects from images. DL approaches have recently entered various agricultural …
Revolutionizing Maize Disease Management with Federated Learning CNNs: A Decentralized and Privacy-Sensitive Approach
For sustainable maize production, reliable and prompt disease identification is crucial.
Maize diseases represent a danger to world food security. In this work, utilizing …
Maize diseases represent a danger to world food security. In this work, utilizing …
Vision transformer meets convolutional neural network for plant disease classification
Plant diseases are the primary cause of crop losses globally, which have an impact on the
world economy. To deal with these issues, new agriculture solutions are evolving that …
world economy. To deal with these issues, new agriculture solutions are evolving that …
[HTML][HTML] Convolutional neural network in rice disease recognition: accuracy, speed and lightweight
H Ning, S Liu, Q Zhu, T Zhou - Frontiers in Plant Science, 2023 - frontiersin.org
There are many rice diseases, which have very serious negative effects on rice growth and
final yield. It is very important to identify the categories of rice diseases and control them. In …
final yield. It is very important to identify the categories of rice diseases and control them. In …
Systematic study on deep learning-based plant disease detection or classification
Plant diseases impact extensively on agricultural production growth. It results in a price hike
on food grains and vegetables. To reduce economic loss and to predict yield loss, early …
on food grains and vegetables. To reduce economic loss and to predict yield loss, early …
Explainable vision transformer enabled convolutional neural network for plant disease identification: PlantXViT
Plant diseases are the primary cause of crop losses globally, with an impact on the world
economy. To deal with these issues, smart agriculture solutions are evolving that combine …
economy. To deal with these issues, smart agriculture solutions are evolving that combine …
Defect detection and classification on semiconductor wafers using two-stage geometric transformation-based data augmentation and SqueezeNet lightweight …
The manufacturing industry is evolving in line with the principles of Industry 4.0, with the aim
of achieving higher levels of automation and digitization. In particular, deep learning …
of achieving higher levels of automation and digitization. In particular, deep learning …
[HTML][HTML] PMVT: a lightweight vision transformer for plant disease identification on mobile devices
Due to the constraints of agricultural computing resources and the diversity of plant
diseases, it is challenging to achieve the desired accuracy rate while keeping the network …
diseases, it is challenging to achieve the desired accuracy rate while keeping the network …
[HTML][HTML] Pepper leaf disease recognition based on enhanced lightweight convolutional neural networks
M Dai, W Sun, L Wang, MMH Dorjoy, S Zhang… - Frontiers in Plant …, 2023 - frontiersin.org
Pepper leaf disease identification based on convolutional neural networks (CNNs) is one of
the interesting research areas. However, most existing CNN-based pepper leaf disease …
the interesting research areas. However, most existing CNN-based pepper leaf disease …
[HTML][HTML] GACN: generative adversarial classified network for balancing plant disease dataset and plant disease recognition
X Wang, W Cao - Sensors, 2023 - mdpi.com
Plant diseases are a critical threat to the agricultural sector. Therefore, accurate plant
disease classification is important. In recent years, some researchers have used synthetic …
disease classification is important. In recent years, some researchers have used synthetic …