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Article
Open AccessA novel plant type, leaf disease and severity identification framework using CNN and transformer with multi-label method
The growth of plants is threatened by numerous diseases. Accurate and timely identification of these diseases is crucial to prevent disease spreading. Many deep learning-based methods have been proposed for id...
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Chapter and Conference Paper
MUSAL: Active Deep Learning Method Integrating Multiple Uncertainty Strategies for Classification
In order to obtain high efficiency of Deep Learning (DL) methods, it is necessary to train the model with a great amount of labeled data. However, in actual implementations, labeled data is always expensive. A...
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Article
L-CSMS: novel lightweight network for plant disease severity recognition
The automatic identification and diagnosis of plant disease severity are still challenging in the agricultural information system. In this study, a novel lightweight convolutional neural network (CNN)-based ne...
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Article
GSNet: Group Sequential Learning for Image Recognition
In recent years, deep learning has achieved great successes in the field of image cognitive learning, and designing a well-behaved convolutional neural network (CNN)-based architecture has become a challenging...
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Chapter and Conference Paper
Automatic Leaf Diseases Detection System Based on Multi-stage Recognition
The problem of plant diseases is an important issue affecting the growth of world food. However, the existing technology still has many defects in the automatic detection of plant diseases. These defects are m...
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Chapter and Conference Paper
Design Driver Sleep Warning System Through Image Recognition and Processing in Python, Dlib, and OpenCV
A large number of road accidents today are related to the drowsiness of the driver of a vehicle due to many causes such as fatigue , drunkenness. However, detecting driver drowsiness and warning is completely ...
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Chapter and Conference Paper
A Real-Time Detection Framework for On-Tree Mango Based on SSD Network
On-tree fruit detection in orchards is important for yield estimation, map** and automatic harvesting in modern agriculture. This paper proposes a real-time detection framework for on-tree mango based on SSD...
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Chapter and Conference Paper
An Intelligent Monitor System for Gearbox Test
We have developed an intelligent monitor system for gearbox test for a known automobile enterprise, aiming at gearbox test-online had been an important part of auto industry production pipeline. A test of auto...
