Rosa Pia Devanna,1 Giulio Reina,2 Annalisa Milella1
1Istituto di Sistemi e Tecnologie Industriali Intelligenti per il Manifattuiero Avanzato, Consiglio Nazionale delle Ricerche (Italy) 2Politecnico di Bari (Italy)
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
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.
Rosa Pia Devanna,Giulio Reina, andAnnalisa 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
ACCESS THE FULL ARTICLE
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
The alert did not successfully save. Please try again later.
Rosa Pia Devanna, Giulio Reina, 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