[HTML][HTML] An advanced deep learning models-based plant disease detection: A review of recent research
Plants play a crucial role in supplying food globally. Various environmental factors lead to
plant diseases which results in significant production losses. However, manual detection of …
plant diseases which results in significant production losses. However, manual detection of …
Generative adversarial networks (GANs) for image augmentation in agriculture: A systematic review
In agricultural image analysis, optimal model performance is keenly pursued for better
fulfilling visual recognition tasks (eg, image classification, segmentation, object detection …
fulfilling visual recognition tasks (eg, image classification, segmentation, object detection …
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 …
[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 …
Modified U-Net for plant diseased leaf image segmentation
S Zhang, C Zhang - Computers and Electronics in Agriculture, 2023 - Elsevier
Early detection and recognition of plant disease is a prerequisite for controlling plant
disease, and one of the key steps is to segment plant diseased leaf images. However, this …
disease, and one of the key steps is to segment plant diseased leaf images. However, this …
FormerLeaf: An efficient vision transformer for Cassava Leaf Disease detection
Leaf diseases have become more prevalent in recent years due to climate change,
increased growth of outdoor air pollutants, and global warming. They may severely damage …
increased growth of outdoor air pollutants, and global warming. They may severely damage …
Assessment of state-of-the-art deep learning based citrus disease detection techniques using annotated optical leaf images
S Dananjayan, Y Tang, J Zhuang, C Hou… - computers and Electronics …, 2022 - Elsevier
Citrus (Citrus reticulata) plants are affected by several diseases and require keen attention
to detect and cure the diseases in time; otherwise, significant financial loss is incurred. With …
to detect and cure the diseases in time; otherwise, significant financial loss is incurred. With …
Quantum Behaved Particle Swarm Optimization‐Based Deep Transfer Learning Model for Sugarcane Leaf Disease Detection and Classification
T Tamilvizhi, R Surendran… - Mathematical …, 2022 - Wiley Online Library
Plant diseases pose a major challenge in the agricultural sector, which affects plant
development and crop productivity. Sugarcane farming is a highly organized part of farming …
development and crop productivity. Sugarcane farming is a highly organized part of farming …
[HTML][HTML] Visual intelligence in precision agriculture: Exploring plant disease detection via efficient vision transformers
In order for a country's economy to grow, agricultural development is essential. Plant
diseases, however, severely hamper crop growth rate and quality. In the absence of domain …
diseases, however, severely hamper crop growth rate and quality. In the absence of domain …
A performance-optimized deep learning-based plant disease detection approach for horticultural crops of New Zealand
Deep learning-based plant disease detection has gained significant attention from the
scientific community. However, various aspects of real horticultural conditions have not yet …
scientific community. However, various aspects of real horticultural conditions have not yet …