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APPLE IDENTIFICATION IN FIELD ENVIRONMENT WITH OVER THE ROW MACHINE VISION SYSTEM CIGR Journal
Silwal, Abhisesh; Gongal, Aleana; Karkee, Manoj.
Accurate detection and identification of fruits is critically important for the success of developing automated apple harvesting system. Research has been conducted to identify apples in orchard environment with reasonable accuracy when apples are clearly visible or partially occluded. However, only limited work has been carried out to identify fruit in clusters, which is critically important as fruit clusters are common in field conditions. This work focused on accurately identifying partially visible apples and apples in clusters using a machine vision system. An over the row platform with tunnel structure and artificial lighting was used to increase uniformity in imaging environment. Iterative Circular Hough Transform (CHT) was used to detect clearly...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Agricultural Engineering; Mechanization and Automation apple identification; Clustering; Circular Hough Transform; Blob analysis.
Ano: 2014 URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/3006
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