한국정보통신학회:학술대회논문집 (Proceedings of the Korean Institute of Information and Commucation Sciences Conference)
- 한국정보통신학회 2017년도 추계학술대회
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- Pages.405-407
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- 2017
Farm disease detection procedure by image processing on Smart Farming
- Cho, Sokpal (Korea Institute of Science and Technology Information) ;
- Chung, Heechang (Dong-Eui University)
- 발행 : 2017.10.25
초록
The environmental change is affecting the farm products like tomato, and pepper, etc. This affects to lead smart farming yield. What is more, this inconstant conditions cause the farms to be infected by variety diseases. Therefore ICT technology is needed to detect and prevent the crops from being effected by diseases. This article suggests the procedure to help producer for identifying farms disease based on the detected image. This detects the kind of diseases with comparing the trained image data before and after disease emergence. First step monitors an image of farms and resize it. Its features are extracted on parameters such as color, and morphology, etc. The next steps are used for classification to classify the image as infected or non-infected. on the bassis of detection algorithm.