A deep learning-based model for plant lesion segmentation, subtype identification, and survival probability estimation
Plants are the primary source of food for world's population. Diseases in plants can cause
yield loss, which can be mitigated by continual monitoring. Monitoring plant diseases …
yield loss, which can be mitigated by continual monitoring. Monitoring plant diseases …
Automatic and reliable leaf disease detection using deep learning techniques
Plants are a major source of food for the world population. Plant diseases contribute to
production loss, which can be tackled with continuous monitoring. Manual plant disease …
production loss, which can be tackled with continuous monitoring. Manual plant disease …
Deep learning-based segmentation and classification of leaf images for detection of tomato plant disease
Plants contribute significantly to the global food supply. Various Plant diseases can result in
production losses, which can be avoided by maintaining vigilance. However, manually …
production losses, which can be avoided by maintaining vigilance. However, manually …
Deep learning-based multiscale CNN-based U network model for leaf disease diagnosis and segmentation of lesions in tomato
Background The advent of deep learning technologies has expanded the utilization of
convolutional neural networks in diagnosing and segmenting plant leaf diseases. However …
convolutional neural networks in diagnosing and segmenting plant leaf diseases. However …
[HTML][HTML] A new approach to learning and recognizing leaf diseases from individual lesions using convolutional neural networks
Leaf disease recognition using image processing and deep learning techniques is currently
a vibrant research area. Most studies have focused on recognizing diseases from images of …
a vibrant research area. Most studies have focused on recognizing diseases from images of …
Construction of deep learning-based disease detection model in plants
Accurately detecting disease occurrences of crops in early stage is essential for quality and
yield of crops through the decision of an appropriate treatments. However, detection of …
yield of crops through the decision of an appropriate treatments. However, detection of …
Development and validation of a deep learning algorithm for the recognition of plant disease
Crop health is the foundation for agricultural development. In some area, due to the lack of
professional botanical experts, it is difficult to correctly diagnose the plant disease in the …
professional botanical experts, it is difficult to correctly diagnose the plant disease in the …
Recent advances in plant disease severity assessment using convolutional neural networks
T Shi, Y Liu, X Zheng, K Hu, H Huang, H Liu… - Scientific Reports, 2023 - nature.com
In modern agricultural production, the severity of diseases is an important factor that directly
affects the yield and quality of plants. In order to effectively monitor and control the entire …
affects the yield and quality of plants. In order to effectively monitor and control the entire …
[HTML][HTML] Performance analysis of deep learning CNN models for disease detection in plants using image segmentation
P Sharma, YPS Berwal, W Ghai - Information Processing in Agriculture, 2020 - Elsevier
Food security for the 7 billion people on earth requires minimizing crop damage by timely
detection of diseases. Most deep learning models for automated detection of diseases in …
detection of diseases. Most deep learning models for automated detection of diseases in …
Deep learning-based segmentation for disease identification
O Mzoughi, I Yahiaoui - Ecological Informatics, 2023 - Elsevier
Plant diseases have recently increased and exacerbated due to several factors such as
climate change, chemicals' misuse and pollution. They represent a severe threat for both …
climate change, chemicals' misuse and pollution. They represent a severe threat for both …