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 …
[HTML][HTML] The application of deep learning in the whole potato production Chain: A Comprehensive review
The potato is a key crop in addressing global hunger, and deep learning is at the core of
smart agriculture. Applying deep learning (eg, YOLO series, ResNet, CNN, LSTM, etc.) in …
smart agriculture. Applying deep learning (eg, YOLO series, ResNet, CNN, LSTM, etc.) in …
Artificial driving based EfficientNet for automatic plant leaf disease classification
Plant disease (PD) detection is a substantial problem that needs to be tackled to develop the
economy and improve agricultural production. Using conventional methods to classify plant …
economy and improve agricultural production. Using conventional methods to classify plant …
Inception convolutional vision transformers for plant disease identification
S Yu, L **e, Q Huang - Internet of Things, 2023 - Elsevier
Plant disease has a considerable influence on the safety of grain output and quality.
Therefore, it is crucial to detect and diagnose plant diseases. Most plant diseases are …
Therefore, it is crucial to detect and diagnose plant diseases. Most plant diseases are …
A deep features extraction model based on the transfer learning model and vision transformer “tlmvit” for plant disease classification
This paper proposes a novel approach for extracting deep features and classifying diseased
plant leaves. The agriculture industry is negatively impacted by plant diseases causing crop …
plant leaves. The agriculture industry is negatively impacted by plant diseases causing crop …
PND-Net: plant nutrition deficiency and disease classification using graph convolutional network
Crop yield production could be enhanced for agricultural growth if various plant nutrition
deficiencies, and diseases are identified and detected at early stages. Hence, continuous …
deficiencies, and diseases are identified and detected at early stages. Hence, continuous …
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] SLViT: Shuffle-convolution-based lightweight Vision transformer for effective diagnosis of sugarcane leaf diseases
Farmers must accurately and promptly identify sugarcane leaf diseases with identical
symptoms. RGB images have a beneficial function in disease identification. Nevertheless …
symptoms. RGB images have a beneficial function in disease identification. Nevertheless …
A general-purpose edge-feature guidance module to enhance vision transformers for plant disease identification
As agricultural applications are specialized, plant diseases are diverse, and there is a lack of
agricultural datasets, current plant disease identification performance is inadequate. In this …
agricultural datasets, current plant disease identification performance is inadequate. In this …
Transfer learning and fine‐tuned transfer learning methods' effectiveness analyse in the CNN‐based deep learning models
Object detection is a type of application that includes computer vision and image processing
technologies, which deal with detecting, tracking, and classifying desired objects in images …
technologies, which deal with detecting, tracking, and classifying desired objects in images …