7 citations · 12 across the 4 of their papers we have counts for
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Self-Supervised Data Generation for Precision Agriculture: Blending Simulated Environments with Real Imagery
Leonardo Saraceni, Ionut Marian Motoi, Daniele Nardi +1
In precision agriculture, the scarcity of labeled data and significant covariate shifts pose unique challenges for training machine learning models. This scarcity is particularly p…
Synthetic Data Generation for Anomaly Detection on Table Grapes
Ionut Marian Motoi, Valerio Belli, Alberto Carpineto +2
Early detection of illnesses and pest infestations in fruit cultivation is critical for maintaining yield quality and plant health. Computer vision and robotics are increasingly em…
Can Robots "Taste" Grapes? Estimating SSC with Simple RGB Sensors
Thomas Alessandro Ciarfuglia, Ionut Marian Motoi, Leonardo Saraceni +1
In table grape cultivation, harvesting depends on accurately assessing fruit quality. While some characteristics, like color, are visible, others, such as Soluble Solid Content (SS…
Evaluating the Efficacy of Cut-and-Paste Data Augmentation in Semantic Segmentation for Satellite Imagery
Ionut M. Motoi, Leonardo Saraceni, Daniele Nardi +1
Satellite imagery is crucial for tasks like environmental monitoring and urban planning. Typically, it relies on semantic segmentation or Land Use Land Cover (LULC) classification…