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- W2805272447 abstract "The productivity of the agri-food sector experiences continuous and growing challenges that make the use of innovative technologies to maintain and even improve their competitiveness a priority. One way to achieve this goal is the development of flexible and portable systems capable of obtaining 2D/3D measurements and classifying objects based on color and depth images taken from multiple sensors. In this project, deep learning methods for fruit detection and classification will be explored." @default.
- W2805272447 created "2018-06-13" @default.
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- W2805272447 date "2018-05-01" @default.
- W2805272447 modified "2023-09-27" @default.
- W2805272447 title "Automatic fruit classification using deep learning." @default.
- W2805272447 hasPublicationYear "2018" @default.
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