scholarly journals Remote Diagnosis System for Diseases and Pests II. Specification of a region of interest

1998 ◽  
Vol 7 (1) ◽  
pp. 13-20
Author(s):  
Nobukazu Iguchi ◽  
Fumitaka Uchio ◽  
Takaharu Kameoka
Keyword(s):  
Region Of Interest ◽  
Remote Diagnosis ◽  
Diagnosis System

scholarly journals Detection of Cotton Leaf Disease Using Image Processing Techniques

2021 ◽  
Vol 2062 (1) ◽  
pp. 012009
Author(s):  
Sushreeta Tripathy
Keyword(s):  
Image Processing ◽  
Plant Disease ◽  
Region Of Interest ◽  
Texture Features ◽  
Disease Diagnosis ◽  
Cotton Leaf ◽  
Diagnosis System ◽  
Image Processing Techniques ◽  
Plant Disease Diagnosis ◽  
Processing Techniques

Abstract In the area of research, diagnosis of disease symptoms in the plants duly applying image processing methods is a matter of big concern. The need of the hour is to prepare an efficient plant disease diagnosis system that can help the farmers in their cultivation and farming. This work is an attempt to prepare a framework of plant disease diagnosis system by using the cotton plant leaves. The digital pictures of cotton leaves are obtained to undergo a set of image processing techniques. Thresholding based segmentation techniques are used to remove the region of interest (ROI) i.e., infected part from the enhanced images. Consequently, diseases are detected from the region of interest by using an accurate set of visual texture features. At last treatment actions are taken to supervise the diseases found in the plants. This work will help the farmer’s society to take effective measures to protect their crops from diseases.

Study on XML-Based Apriori Algorithm Applying to Remote Diagnosis System for Hoist

2011 ◽  
Vol 201-203 ◽  
pp. 510-513
Author(s):  
Juan Li Li ◽  
Zhao Jian Yang
Keyword(s):  
Fault Diagnosis ◽  
Apriori Algorithm ◽  
Remote Diagnosis ◽  
Diagnosis System ◽  
Operation Process ◽  
Fault Diagnosis System ◽  
Remote Fault Diagnosis

According to the data characteristics in the hoister operation process and the network requirements of fault diagnosis system, this paper proposes a XML-based apriori algorithm, and the algorithm is applied to hoist remote fault diagnosis system. The experiment result shows that applying the system can make the hoist fault diagnosis more scientific, reasonable and improve the efficiency and accuracy of diagnosis.

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