A comprehensive review on Plant Leaf Disease detection using Deep learning
Leaf disease is a common fatal disease for plants. Early diagnosis and detection is
necessary in order to improve the prognosis of leaf diseases affecting plant. For predicting …
necessary in order to improve the prognosis of leaf diseases affecting plant. For predicting …
A systematic review of deep learning applications for rice disease diagnosis: current trends and future directions
Background The occurrence of diseases in rice leaves presents a substantial challenge to
farmers on a global scale, hence jeopardizing the food security of an expanding global …
farmers on a global scale, hence jeopardizing the food security of an expanding global …
ITF-WPI: Image and text based cross-modal feature fusion model for wolfberry pest recognition
As one of the necessary cash crops in China and many other countries, wolfberry is
parasitized by multiple pests, and its yield is highly susceptible to being affected. On the …
parasitized by multiple pests, and its yield is highly susceptible to being affected. On the …
[HTML][HTML] A customised Vision Transformer for accurate detection and classification of Java Plum leaf disease
Abstract Vision Transformer (ViT) has recently attracted significant attention for its
performance in image classification. However, studies have yet to explore its potential in …
performance in image classification. However, studies have yet to explore its potential in …
[HTML][HTML] DeepRice: A deep learning and deep feature based classification of Rice leaf disease subtypes
Rice stands as a crucial staple food globally, with its enduring sustainability hinging on the
prompt detection of rice leaf diseases. Hence, efficiently detecting diseases when they have …
prompt detection of rice leaf diseases. Hence, efficiently detecting diseases when they have …
TransVAE-DTA: Transformer and variational autoencoder network for drug-target binding affinity prediction
C Zhou, Z Li, J Song, W Xiang - Computer Methods and Programs in …, 2024 - Elsevier
Background and objective Recent studies have emphasized the significance of
computational in silico drug-target binding affinity (DTA) prediction in the field of drug …
computational in silico drug-target binding affinity (DTA) prediction in the field of drug …
Multi-scale feature fusion-based lightweight dual stream transformer for detection of paddy leaf disease
Traditionally, rice leaf disease identification relies on a visual examination of abnormalities
or an analytical result obtained by growing bacteria in the research lab. This method of …
or an analytical result obtained by growing bacteria in the research lab. This method of …
[HTML][HTML] In-field disease symptom detection and localisation using explainable deep learning: Use case for downy mildew in grapevine
Diseases and pests in agriculture significantly impact crop yield and quality. Downy mildew
(Plasmopara viticola) is a particular noteworthy example in grapevines. Traditional detection …
(Plasmopara viticola) is a particular noteworthy example in grapevines. Traditional detection …
A method for estimating the height of Achnatherum splendens based on image processing
The growth of Achnatherum splendens affects the growth of dominant forage grasses in
grasslands, which leads to a decrease in grassland biomass and an increase in grassland …
grasslands, which leads to a decrease in grassland biomass and an increase in grassland …
Multimodal-information-based optimized agricultural prescription recommendation system of crop electronic medical records
C Xu, J Ding, B Wang, Y Qiao, L Zhang… - Journal of Industrial …, 2024 - Elsevier
Abstract Multimodal Crop Electronic Medical Records (CEMRs) contain complex
information, including disease symptoms, crop conditions, environmental factors, and …
information, including disease symptoms, crop conditions, environmental factors, and …