Ωkypous: Harnessing Timing Slacks and Coordinated DVFS for Power-Efficient Serverless Workflows
Abstract:Serverless workflows have emerged in Function-as-a-Service (FaaS) platforms to represent the operational structure of traditional applications. With latency propagation effects becoming increasingly prominent, step-wise resource tuning is required to address […]
Data-driven estimation of lettuce biophysical traits using multidimensional sensing
Abstract: Accurate monitoring of leafy vegetable crops is essential to evaluate plant health, growth, yield, and quality, yet conventional methods based on manual measurements are labor-intensive and error-prone. This study […]
Incremental learning with domain adaption for tomato plant phenotyping
Abstratct: A comprehensive and continuous analysis of relevant phenotypic traits in broadly diffused crops such as tomatoes is extremely important to assess the status of plants, especially in the current […]
D6.1 Comprehensive Needs & Requirements Report
Abstract: The AgRibot project aims to transform agriculture through the integration of robotics, extended reality (XR), and advanced digital technologies. Deliverable D1.1, titled “Comprehensive Needs & Requirements Report,” lays the […]
Automated On-Tree Detection and Size Estimation of Pomegranates by a Farmer Robot
Authors: Rosa Pia Devanna, Francesco Vicino, Simone Pietro Garofalo, Gaetano Alessandro Vivaldi, Simone Pascuzzi, Giulio Reina, Annalisa Milella Abstract: Pomegranate (Punica granatum) fruit size estimation plays a crucial role in […]
Toward Digital Twin of Off-Road Vehicles Using Robot Simulation Frameworks
Authors: Arianna Rana, Antonio Petitti, Angelo Ugenti, Rocco Galati, Giulio Reina, Annalisa Milella Abstract: Digital twins provide a powerful tool for testing and maintaining products and processes in several application […]
Yield estimation in precision viticulture by combining deep segmentation and depth-based clustering
Authors: Pia Devanna Rosa, Reina, Gulio, Milella Annalisa, Romeo Laura Abstract: Grapevine phenotyping, that is the process of determining the physical properties (e.g., size, shape, and number) of grape bunches, […]
Boosting grape bunch detection in RGB-D images using zero-shot annotation with Segment Anything and GroundingDINO
Authors: Pia Devanna Rosa, Reina, Gulio, Auat Cheein Fernando, Milella Annalisa Abstract: Latest advances in artificial intelligence, particularly in object recognition and segmentation, provide unprece- dented opportunities for precision agriculture. […]
Advances on Affordable Hardware Platforms for Human Demonstration Acquisition in Agricultural Applications
This paper presents advances on the Universal Manipulation Interface (UMI) , a low-cost hand-held gripper for robot Learning from Demonstration (LfD), for complex in-the-wild scenarios found in agri- cultural settings. […]