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. […]
The Future We’re Building with AgRibot
Across Europe, farmers are facing tough challenges: fewer people working the land, long hours, heavy labour, and increasing pressure to farm more sustainably.
So how is AgRibot contributing to this change, and how will it make farmers’ lives easier?
In this blog, we take a closer look at the project’s Expected Impacts and Outcomes — the long-term goals and the concrete changes already being tested in the field.