Attention mechanism‐based ultralightweight deep learning method for automated multi‐fruit disease recognition system
Sign Up to like & getrecommendations! Published in 2025 at "Agronomy Journal"
DOI: 10.1002/agj2.70035
Abstract: Automated disease recognition plays a pivotal role in advancing smart artificial intelligence (AI)‐based agriculture and is crucial for achieving higher crop yields. Although substantial research has been conducted on deep learning‐based automated plant disease recognition… read more here.
Keywords: deep learning; fruit disease; disease; disease recognition ... See more keywords
Hybridization of ResNet with YOLO classifier for automated paddy leaf disease recognition: An optimized model
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Field Robotics"
DOI: 10.1002/rob.22089
Abstract: Paddy is the most significant crop utilized by more than 2.6 billion people. The paddy crops are affected by various diseases that are unidentified and reduced the production of crop yield. Nowadays, the plants diseases… read more here.
Keywords: recognition; paddy leaf; yolo classifier; disease recognition ... See more keywords
Bayesian Procedures of Hematologic Disease Recognition
Sign Up to like & getrecommendations! Published in 2017 at "Cybernetics and Systems Analysis"
DOI: 10.1007/s10559-017-9994-7
Abstract: A promising computer approach to recognition of hematologic diseases is substantiated. Due to highly efficient Bayesian procedures, computer search is used to find combinations of indicators that have the highest recognition quality. Such method allows… read more here.
Keywords: recognition; bayesian procedures; hematologic disease; procedures hematologic ... See more keywords
Three-channel convolutional neural networks for vegetable leaf disease recognition
Sign Up to like & getrecommendations! Published in 2019 at "Cognitive Systems Research"
DOI: 10.1016/j.cogsys.2018.04.006
Abstract: Abstract The color information of diseased leaf is the main basis for leaf based plant disease recognition. To make use of color information, a novel three-channel convolutional neural networks (TCCNN) model is constructed by combining… read more here.
Keywords: leaf disease; disease; channel; vegetable leaf ... See more keywords
Research on agricultural disease recognition methods based on very large Kernel convolutional network-RepLKNet
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-01553-7
Abstract: Agricultural diseases pose significant challenges to plant production. With the rapid advancement of deep learning, the accuracy and efficiency of plant disease identification have substantially improved. However, conventional convolutional neural networks that rely on multi-layer… read more here.
Keywords: disease; plant; large kernel; disease recognition ... See more keywords
Tea Disease Recognition Based on Image Segmentation and Data Augmentation
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3534024
Abstract: Accurate identification of tea leaf diseases is crucial for intelligent tea cultivation and monitoring. However, the complex environment of tea plantations—affected by weather variations and uneven lighting—poses significant challenges for building effective disease recognition models… read more here.
Keywords: tea; disease; disease recognition; image segmentation ... See more keywords
Ocular Disease Recognition via Differential Privacy and Unsupervised Domain Regularizer
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2023.3344312
Abstract: Adopting deep learning in early fundus screening images benefits ocular disease recognition and helps patients avoid blindness in recent years. The robust data representation capability of deep learning is derived from numerous data and annotations.… read more here.
Keywords: unsupervised domain; domain regularizer; disease recognition; ocular disease ... See more keywords
Plant Disease Recognition: A Large-Scale Benchmark Dataset and a Visual Region and Loss Reweighting Approach
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2021.3049334
Abstract: Plant disease diagnosis is very critical for agriculture due to its importance for increasing crop production. Recent advances in image processing offer us a new way to solve this issue via visual plant disease analysis.… read more here.
Keywords: plant disease; disease recognition; loss; disease ... See more keywords
The importance of vascular disease recognition and patient education in the evaluation of lower extremity wounds in dermatology
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Dermatology"
DOI: 10.1111/ijd.14768
Abstract: The importance of vascular disease recognition and patient education in the evaluation of lower extremity wounds in dermatology Mahtab Forouzandeh, BS, Thomas Vazquez, BS, and Keyvan Nouri, MD, Dr. Phillip Frost Department of Dermatology and… read more here.
Keywords: medicine; dermatology; vascular disease; recognition patient ... See more keywords
A Plant Disease Recognition Method Based on Fusion of Images and Graph Structure Text
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2021.731688
Abstract: The disease image recognition models based on deep learning have achieved relative success under limited and restricted conditions, but such models are generally subjected to the shortcoming of weak robustness. The model accuracy would decrease… read more here.
Keywords: disease recognition; disease; graph structure; structure text ... See more keywords
Few-shot crop disease recognition using sequence- weighted ensemble model-agnostic meta-learning
Sign Up to like & getrecommendations! Published in 2025 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2025.1615873
Abstract: Diseases pose significant threats to crop production, leading to substantial yield reductions and jeopardizing global food security. Timely and accurate detection of crop diseases is essential for ensuring sustainable agricultural development and effective crop management.… read more here.
Keywords: maml; disease; crop; disease recognition ... See more keywords