Image Segmentation for Fruit Detection and Yield Estimation in Apple Orchards

• Published in: Journal of field robotics Vol. 34; no. 6; pp. 1039 - 1060
• Main Authors: Bargoti, Suchet, Underwood, James P.
• Format: Journal Article
• Language: English
• Published: Hoboken Wiley Subscription Services, Inc 01.09.2017
• Subjects: Algorithms; Apples; Artificial neural networks; Computer vision; Correlation coefficients; Counting; Evaluation; Fruits; Grading; High resolution; Hough transformation; Image detection; Image processing; Image resolution; Image segmentation; Machine learning; Metadata; Monocular vision; Neural networks; Orchards; Pixels; Vision systems

Ground vehicles equipped with monocular vision systems are a valuable source of high‐resolution image data for precision agriculture applications in orchards. This paper presents an image processing framework for fruit detection and counting using orchard image data. A general‐purpose image segmenta...