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Title: Intelligent system for the detection of iron stain on coffee growing leaves
Authors: Ferley Medina Rojas, Juan A. Castro Silva, Faiber Robayo Betancourt
Journal: ARPN Journal of Engineering and Applied Sciences
Publisher: Khyber Medical College, Peshawar
Country: Pakistan
Year: 2020
Volume: 15
Issue: 9
Language: English
The iron stain is a disease caused by the fungus Cercospora coffeicola Berk and Cooke, attacks coffee leaves and fruits in all stages of development of the plant. This article proposes an intelligent system for iron stain detection. The model captures images to reduce the size, increases the data of the data set, segmentation to separate the object of interest from the background, then extracts the study characteristics of the image to be recognized, interpreted and detected in the last classification stage. The proposed system has an effectiveness of 77.32% when detecting the iron stain on coffee leaves with a data set of 2800 images of which, 1400 has the disease and 1400 do not have it. The proposed system helps farmers to control iron stain early by contributing to a healthy crop that generates good crop yield.
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