[HTML][HTML] On-the-go table grape ripeness estimation via proximal snapshot hyperspectral imaging
The monitoring of grapes for ripeness estimation is a practice that enables fruit harvesting at
the optimal time. Hyperspectral Imaging (HSI) represents a non-destructive and high …
the optimal time. Hyperspectral Imaging (HSI) represents a non-destructive and high …
Development and Adaptation of Robotic Vision in the Real-World: the Challenge of Door Detection
Mobile service robots are increasingly prevalent in human-centric, real-world domains,
operating autonomously in unconstrained indoor environments. In such a context, robotic …
operating autonomously in unconstrained indoor environments. In such a context, robotic …
An In-Field Dynamic Vision-Based Analysis for Vineyard Yield Estimation
Accurately predicting grape yield in vineyards is essential for strategic decision-making in
the wine industry. Current methods are labour-intensive, costly, and lack spatial coverage …
the wine industry. Current methods are labour-intensive, costly, and lack spatial coverage …
More than the Sum of Its Parts: Ensembling Backbone Networks for Few-Shot Segmentation
Semantic segmentation is a key prerequisite to robust image understanding for applications
in\acrlong {ai} and Robotics.\acrlong {fss}, in particular, concerns the extension and …
in\acrlong {ai} and Robotics.\acrlong {fss}, in particular, concerns the extension and …
In-field and on-the-go grape ripeness estimation via snapshot hyperspectral imaging
M Piliego - 2022 - politesi.polimi.it
The monitoring of grapes for ripeness estimation is a practice that enables localized
harvesting at the optimal time. Hyperspectral imaging represents a non-destructive and high …
harvesting at the optimal time. Hyperspectral imaging represents a non-destructive and high …