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 …
Transformative Role of Artificial Intelligence in Advancing Sustainable Tomato (Solanum lycopersicum) Disease Management for Global Food Security: A …
B Sundararaman, S Jagdev, N Khatri - Sustainability, 2023 - mdpi.com
The growing global population and accompanying increase in food demand has put
pressure on agriculture to produce higher yields in the face of numerous challenges …
pressure on agriculture to produce higher yields in the face of numerous challenges …
An AI based approach for medicinal plant identification using deep CNN based on global average pooling
Medicinal plants have always been studied and considered due to their high importance for
preserving human health. However, identifying medicinal plants is very time-consuming …
preserving human health. However, identifying medicinal plants is very time-consuming …
DFN-PSAN: Multi-level deep information feature fusion extraction network for interpretable plant disease classification
Accurate identification of crop diseases is an effective way to promote the development of
intelligent and modernized agricultural production, as well as to reduce the use of pesticides …
intelligent and modernized agricultural production, as well as to reduce the use of pesticides …
Botanicx-ai: Identification of tomato leaf diseases using an explanation-driven deep-learning model
Early and accurate tomato disease detection using easily available leaf photos is essential
for farmers and stakeholders as it help reduce yield loss due to possible disease epidemics …
for farmers and stakeholders as it help reduce yield loss due to possible disease epidemics …
Systematic study on deep learning-based plant disease detection or classification
Plant diseases impact extensively on agricultural production growth. It results in a price hike
on food grains and vegetables. To reduce economic loss and to predict yield loss, early …
on food grains and vegetables. To reduce economic loss and to predict yield loss, early …
Phenotypic analysis of diseased plant leaves using supervised and weakly supervised deep learning
Deep learning and computer vision have become emerging tools for diseased plant
phenotyping. Most previous studies focused on image-level disease classification. In this …
phenotyping. Most previous studies focused on image-level disease classification. In this …
Ayur-PlantNet: An unbiased light weight deep convolutional neural network for Indian Ayurvedic plant species classification
Plant species classification using photo-based computer vision is challenging due to some
crucial factors such as poor illumination, overlapping leaves, occlusions from cross-domain …
crucial factors such as poor illumination, overlapping leaves, occlusions from cross-domain …
Detection of plant leaf diseases using deep convolutional neural network models
P Singla, V Kalavakonda, R Senthil - Multimedia Tools and Applications, 2024 - Springer
Food demand is exponentially increasing due to the increase in population in every country;
hence, increasing the yield is one of the focus areas for sustainable agricultural …
hence, increasing the yield is one of the focus areas for sustainable agricultural …
[HTML][HTML] Identification and localization of grape diseased leaf images captured by UAV based on CNN
W Li, X Yu, C Chen, Q Gong - Computers and Electronics in Agriculture, 2023 - Elsevier
In order to realize the acquisition of plant leaf images by agricultural drones and perform
regional segmentation and disease recognition on leaf cluster images over a wide area, this …
regional segmentation and disease recognition on leaf cluster images over a wide area, this …