Presentation + Paper
9 August 2023 Automated detection and counting of grape bunches using a farmer robot
Rosa Pia Devanna, Giulio Reina, Annalisa Milella
Author Affiliations +
Abstract
This paper describes a novel image acquisition and processing framework to detect and count grape bunches along vineyard rows, using RGB and depth data acquired in the field by a farmer robot. The proposed pipeline starts with a semantic image segmentation module that uses a pre-trained convolutional neural network to separate fruit from non-fruit regions. Areas pertaining to fruits are then further processed using a depth gradient-based clustering algorithm to detect and separate single grape bunches. Experiments performed in a commercial vineyard are presented showing that, despite the low quality of the input images, the proposed approach is able to correctly detect and count grape clusters with good accuracy.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rosa Pia Devanna, Giulio Reina, and Annalisa Milella "Automated detection and counting of grape bunches using a farmer robot", Proc. SPIE 12621, Multimodal Sensing and Artificial Intelligence: Technologies and Applications III, 1262113 (9 August 2023); https://doi.org/10.1117/12.2673962
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KEYWORDS
Image segmentation

RGB color model

Agriculture

Machine learning

Image processing

Semantics

Cameras

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