DocumentCode :
2388846
Title :
Development of a sensor for automatic detection of downey mildew disease
Author :
Srivastava, A. ; Shugen Ma ; Inoue, K.
fYear :
2004
fDate :
26-31 Aug. 2004
Firstpage :
562
Lastpage :
567
Abstract :
The essence of this work is development of a sensor that would extract the information about the presence of Downey Mildew disease, in its primitive stage, within the Grape crop standing in the field. This is done by using image process technology, color features of the Grape and the Downey Mildew disease analysis. The analysis of the data obtained from the Grapevine showed that the color set for thie Downey Mildew disease for the Grape is clearly distinct so the disease can directly be detected from the Grapevine. The experiment showed that the disease could be identified accurately at the time of its emergence hence it can be controlled easily. The output regarding the intensity of the Downey Mildew disease cam be obtained from the analysis.
Keywords :
Automatic control; Crops; Data mining; Delta modulation; Detectors; Diseases; Image color analysis; Pipelines; Production; Sensor phenomena and characterization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Mechatronics and Automation, 2004. Proceedings. 2004 International Conference on
Conference_Location :
Chengdu, China
Print_ISBN :
0-7803-8748-1
Type :
conf
DOI :
10.1109/ICIMA.2004.1384259
Filename :
1384259
Link To Document :
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