Publications by authors named "Germano Moreira"
Article Synopsis
- - Pollination is essential for crops like kiwifruit, which face challenges due to their dioecious nature, with separate male and female flowers, and a lack of nectar to attract pollinators.
- - The study highlights two significant research gaps: methods for detecting the gender of Actinidia flowers and the limited use of deep learning approaches in this area.
- - Four pretrained models were tested for flower detection, with DETR performing the best in terms of precision and recall, suggesting that deep learning can advance robotic pollination systems for these plants.
The development of robotic solutions for agriculture requires advanced perception capabilities that can work reliably in any crop stage. For example, to automatise the tomato harvesting process in greenhouses, the visual perception system needs to detect the tomato in any life cycle stage (flower to the ripe tomato). The state-of-the-art for visual tomato detection focuses mainly on ripe tomato, which has a distinctive colour from the background.
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