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 …
[HTML][HTML] Deep learning based computer vision approaches for smart agricultural applications
The agriculture industry is undergoing a rapid digital transformation and is growing powerful
by the pillars of cutting-edge approaches like artificial intelligence and allied technologies …
by the pillars of cutting-edge approaches like artificial intelligence and allied technologies …
Leaf disease detection using machine learning and deep learning: Review and challenges
Identification of leaf disorder plays an important role in the economic prosperity of any
country. Many parts of a plant can be infected by a virus, fungal, bacteria, and other …
country. Many parts of a plant can be infected by a virus, fungal, bacteria, and other …
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 …
DLMC-Net: Deeper lightweight multi-class classification model for plant leaf disease detection
Plant-leaf disease detection is one of the key problems of smart agriculture which has a
significant impact on the global economy. To mitigate this, intelligent agricultural solutions …
significant impact on the global economy. To mitigate this, intelligent agricultural solutions …
[HTML][HTML] DeepCrop: Deep learning-based crop disease prediction with web application
MM Islam, MAA Adil, MA Talukder… - Journal of Agriculture …, 2023 - Elsevier
Agriculture plays a significant role in every nation's economy by producing crops. Plant
disease identification is one of the most important aspects of maintaining an agriculturally …
disease identification is one of the most important aspects of maintaining an agriculturally …
Detection of citrus black spot disease and ripeness level in orange fruit using learning-to-augment incorporated deep networks
Fruit infected by pests or diseases and fruit harvests with different levels of ripeness cause a
lack of marketability, decrease in economic value, and increase in crop waste. In this study …
lack of marketability, decrease in economic value, and increase in crop waste. In this study …
Accurate cotton diseases and pests detection in complex background based on an improved YOLOX model
Y Zhang, B Ma, Y Hu, C Li, Y Li - Computers and Electronics in Agriculture, 2022 - Elsevier
Cotton diseases and pests are essential factors affecting the quality and yield of cotton in
agricultural production. To meet the needs of intelligent agriculture development and solve …
agricultural production. To meet the needs of intelligent agriculture development and solve …
A review on machine learning and deep learning image-based plant disease classification for industrial farming systems
Plants can be affected by various diseases. As such, the early detection of crop diseases
plays an essential role in the farming industry. However, such detection requires extensive …
plays an essential role in the farming industry. However, such detection requires extensive …
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 …