XR-enabled Robotics: A Solution for Farmer-friendly Automation on Agricultural Tasks

The agricultural orchard sector in the EU faces labor shortages and lacks means to attract young practitioners, while most operations that need to be performed are manual and repetitive, namely […]
Robotic-Assisted Dynamic Fertilisation Management in Leafy Vegetable Production

Efficient fertilization in open-field leafy vegetable farming is a challenge of modern agriculture. Uniform nutrient applications often result in waste, reduced profitability, and environmental losses. Additionally, frequent monitoring requires time […]
Robotic spraying of weeds in potato and volunteer potatoes in Denmark & Switzerland

AgRibot’s Pilot Case 2 is presented in the following practice abstract.
D6.4 Increased Brand Visibility & StakeholderEngagement (ver. 1)

This deliverable, D6.4, builds upon and reports on the implementationprogress of dissemination, communication, and stakeholder engagementactivities defined in D6.1, with a particular focus on stakeholder-centricactions and qualitative engagement indicators. It […]
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 […]
Joining Forces for Future Fields & Farmers: AgRibot × ARISE

Collaboration between EU research projects works best when it brings together complementary strengths. That’s why AgRibot has established a new synergy with the ARISE project — an EU-funded initiative focused […]
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. […]