Image Processing for Disease Identification in Crop
Author(s):
Ms. C. Pabitha , VALLIAMMAI ENGINEERING COLLEGE; Dr. B. Vanathi, Valliammai Engineering College
Keywords:
Image Processing, Agriculture Disease, Plant Disease Identification, IOT
Abstract:
Detection of pests in the paddy fields is a major challenge in the field of agriculture. Therefore effective measures should be developed to fight the infestation while minimizing the use of pesticides. The techniques of image analysis are extensively applied to agricultural science, and it provides maximum protection to crops, which can ultimately lead to better crop management and production. Monitoring of pests infestation relies on manpower, however automatic monitoring has been advancing in order to minimize human efforts and errors. This process is to detect and extract insect pests by establishing an automated detection and extraction system for estimating pest densities in paddy fields. And then, the result obtained from the Matlab is given to the controller.
Other Details:
Manuscript Id | : | IJSTEV4I10074
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Published in | : | Volume : 4, Issue : 10
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Publication Date | : | 01/05/2018
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Page(s) | : | 157-161
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