Artificial Intelligence Vision Methods for Robotic Harvesting of Edible Flowers

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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Bibliographic Details
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:
deep neural networks
computer vision
precision farming
edible flowers
Online Access:https://www.mdpi.com/2223-7747/13/22/3197
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https://www.mdpi.com/2223-7747/13/22/3197

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