Blar i SINTEF Open på tidsskrift "Computers and Electronics in Agriculture"
Viser treff 1-6 av 6
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A spatio-temporal recurrent network for salmon feeding action recognition from underwater videos in aquaculture
(Journal article; Peer reviewed, 2019-11-12)Recent developments have shown that Deep Learning approaches are well suited for Human Action Recognition. On the other hand, the application of deep learning for action or behaviour recognition in other domains such as ... -
A framework for traceability of hides for improved supply chain coordination
(Journal article; Peer reviewed, 2020-07)Hides are an important co-product of the meat processing industry which are further used in leather production. However, there is a lack of automated traceability systems in this industry. A traceability system can improve ... -
GRIBBOT - Robotic 3D vision-guided harvesting of chicken fillets
(Journal article; Peer reviewed, 2016)In Norway, the final stage of front half chicken harvesting is still a manual operation due to a lack of automated systems that are suitably flexible with regard to production efficiency and raw material utilisation. This ... -
GRIBBOT - Robotic 3D vision-guided harvesting of chicken fillets
(Journal article; Peer reviewed, 2016)In Norway, the final stage of front half chicken harvesting is still a manual operation due to a lack of automated systems that are suitably flexible with regard to production efficiency and raw material utilisation. This ... -
A nutrient recommendation system for soil fertilization based on evolutionary computation
(Peer reviewed; Journal article, 2021)In agricultural production, soil characteristics play a vital role in maintaining fertility by allowing crops to develop better through root nutrition with minimal energy inputs. Nitrogen (N), Phosphorus (P), and Potassium ... -
Robust classification approach for segmentation of blood defects in cod fillets based on deep convolutional neural networks and support vector machines and calculation of gripper vectors for robotic processing
(Peer reviewed; Journal article, 2017)Despite advances in computer vision and segmentation techniques, the segmentation of food defects such as blood spots, exhibiting a high degree of randomness and biological variation in size and coloration degree, has ...