Publication
Artificial intelligence to identify olive-tree cultivars
| Summary: | The exponential advance in artificial intelligence techniques makes it possible to apply them to previously thought to be impossible sectors. In this work, a different approach is presented to identify the different varieties of olive trees present in the olive groves of Portugal. Using its leaves and deep learning algorithms necessary for its classification, the proposed system can perform a reliable, low-cost, and real-time identification of the olive trees. |
|---|---|
| Main Authors: | Mendes, João |
| Other Authors: | Lima, José; Costa, Lino; Pereira, Ana I. |
| Subject: | Artificial intelligence Olive Classification |
| Year: | 2022 |
| Country: | Portugal |
| Document type: | conference paper |
| Access type: | open access |
| Associated institution: | Instituto Politécnico de Bragança |
| Language: | English |
| Origin: | Biblioteca Digital do IPB |
| Summary: | The exponential advance in artificial intelligence techniques makes it possible to apply them to previously thought to be impossible sectors. In this work, a different approach is presented to identify the different varieties of olive trees present in the olive groves of Portugal. Using its leaves and deep learning algorithms necessary for its classification, the proposed system can perform a reliable, low-cost, and real-time identification of the olive trees. |
|---|