A comprehensive survey of recent trends in deep learning for digital images augmentation
Deep learning proved its efficiency in many fields of computer science such as computer
vision, image classifications, object detection, image segmentation, and more. Deep …
vision, image classifications, object detection, image segmentation, and more. Deep …
A survey on using deep learning techniques for plant disease diagnosis and recommendations for development of appropriate tools
Several factors associated with disease diagnosis in plants using deep learning techniques
must be considered to develop a robust system for accurate disease management. A …
must be considered to develop a robust system for accurate disease management. A …
Fighting against COVID-19: A novel deep learning model based on YOLO-v2 with ResNet-50 for medical face mask detection
Deep learning has shown tremendous potential in many real-life applications in different
domains. One of these potentials is object detection. Recent object detection which is based …
domains. One of these potentials is object detection. Recent object detection which is based …
[HTML][HTML] A comprehensive review on detection of plant disease using machine learning and deep learning approaches
C Jackulin, S Murugavalli - Measurement: Sensors, 2022 - Elsevier
Agriculture plays a significant part in India due to their population growth and increased food
demands. Hence, there is a need to enhance the yield of crop. One of these important effects …
demands. Hence, there is a need to enhance the yield of crop. One of these important effects …
A deep transfer learning model with classical data augmentation and CGAN to detect COVID-19 from chest CT radiography digital images
Abstract The Coronavirus disease 2019 (COVID-19) is the fastest transmittable virus caused
by severe acute respiratory syndrome Coronavirus 2 (SARS-CoV-2). The detection of …
by severe acute respiratory syndrome Coronavirus 2 (SARS-CoV-2). The detection of …
Machine learning and deep learning based computational techniques in automatic agricultural diseases detection: Methodologies, applications, and challenges
Plant disease detection is a critical issue that needs to be focused on for productive
agriculture and economy. Detecting plant disease using traditional methods is a tedious job …
agriculture and economy. Detecting plant disease using traditional methods is a tedious job …
Citrus disease detection and classification using end-to-end anchor-based deep learning model
Plant diseases are the primary issue that reduces agricultural yield and production, causing
significant economic losses and instability in the food supply. In plants, citrus is a fruit crop of …
significant economic losses and instability in the food supply. In plants, citrus is a fruit crop of …
[HTML][HTML] Leaf and spike wheat disease detection & classification using an improved deep convolutional architecture
Wheat is the third most harvested and consumed grain in the world. However, a large part of
wheat crop becomes spoiled due to diseases. There are over two dozen of wheat diseases …
wheat crop becomes spoiled due to diseases. There are over two dozen of wheat diseases …
MDFC–ResNet: An agricultural IoT system to accurately recognize crop diseases
WJ Hu, J Fan, YX Du, BS Li, N **ong… - IEEE Access, 2020 - ieeexplore.ieee.org
Crop disease diagnosis is an essential step in crop disease treatment and is a hot issue in
agricultural research. However, in agricultural production, identifying only coarse-grained …
agricultural research. However, in agricultural production, identifying only coarse-grained …
Image‐Based Detection of Plant Diseases: From Classical Machine Learning to Deep Learning Journey
Plant disease automation in agriculture science is the primary concern for every country, as
the food demand is increasing at a fast rate due to an increase in population. Moreover, the …
the food demand is increasing at a fast rate due to an increase in population. Moreover, the …