Artificial Intelligence Vision Methods for Robotic Harvesting of Edible Flowers
Edible flowers, with their increasing demand in the market, face a challenge in labor-intensive hand-picking practices, hindering their attractiveness for growers. This study explores the application of artificial intelligence vision for robotic harvesting, focusing on the fundamental elements: dete...
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| Main Authors: | Fabio Taddei Dalla Torre, Farid Melgani, Ilaria Pertot, Cesare Furlanello |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Plants |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2223-7747/13/22/3197 |
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