Trends in vision-based machine learning techniques for plant disease identification: A systematic review
Globally, all the major crops are significantly affected by diseases every year, as manual
inspection across diverse fields is time-consuming, tedious, and requires expert knowledge …
inspection across diverse fields is time-consuming, tedious, and requires expert knowledge …
Modified U-Net for plant diseased leaf image segmentation
S Zhang, C Zhang - Computers and Electronics in Agriculture, 2023 - Elsevier
Early detection and recognition of plant disease is a prerequisite for controlling plant
disease, and one of the key steps is to segment plant diseased leaf images. However, this …
disease, and one of the key steps is to segment plant diseased leaf images. However, this …
[HTML][HTML] Plant disease recognition model based on improved YOLOv5
Z Chen, R Wu, Y Lin, C Li, S Chen, Z Yuan, S Chen… - Agronomy, 2022 - mdpi.com
To accurately recognize plant diseases under complex natural conditions, an improved plant
disease-recognition model based on the original YOLOv5 network model was established …
disease-recognition model based on the original YOLOv5 network model was established …
[HTML][HTML] Recognition of leaf disease using hybrid convolutional neural network by applying feature reduction
Agriculture is crucial to the economic prosperity and development of India. Plant diseases
can have a devastating influence towards food safety and a considerable loss in the …
can have a devastating influence towards food safety and a considerable loss in the …
A Complete Process of Text Classification System Using State‐of‐the‐Art NLP Models
With the rapid advancement of information technology, online information has been
exponentially growing day by day, especially in the form of text documents such as news …
exponentially growing day by day, especially in the form of text documents such as news …
FormerLeaf: An efficient vision transformer for Cassava Leaf Disease detection
Leaf diseases have become more prevalent in recent years due to climate change,
increased growth of outdoor air pollutants, and global warming. They may severely damage …
increased growth of outdoor air pollutants, and global warming. They may severely damage …
Heart failure detection using quantum‐enhanced machine learning and traditional machine learning techniques for internet of artificially intelligent medical things
Quantum‐enhanced machine learning plays a vital role in healthcare because of its robust
application concerning current research scenarios, the growth of novel medical trials, patient …
application concerning current research scenarios, the growth of novel medical trials, patient …
Explainable artificial intelligence (xai) for internet of things: a survey
Artificial intelligence (AI) and machine learning (ML) are widely employed to make the
solutions more accurate and autonomous in many smart and intelligent applications in the …
solutions more accurate and autonomous in many smart and intelligent applications in the …
Multiple disease detection method for greenhouse-cultivated strawberry based on multiscale feature fusion Faster R_CNN
S Zhao, J Liu, S Wu - Computers and electronics in agriculture, 2022 - Elsevier
Disease has a significant impact on strawberry quality and yield, and deep learning has
become an important approach for the detection of crop disease. To address the problems of …
become an important approach for the detection of crop disease. To address the problems of …
[HTML][HTML] Visual intelligence in precision agriculture: Exploring plant disease detection via efficient vision transformers
In order for a country's economy to grow, agricultural development is essential. Plant
diseases, however, severely hamper crop growth rate and quality. In the absence of domain …
diseases, however, severely hamper crop growth rate and quality. In the absence of domain …