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 […]
Gestione Dinamica della Fertilizzazione Assistita da Robot nella Produzione di Ortaggi a Foglia
Un’efficace fertilizzazione nelle coltivazioni di ortaggi a foglia in campo aperto rappresenta una sfida per l’agricoltura moderna. Applicazioni uniformi di nutrienti spesso comportano sprechi, riduzione della redditività e perdite ambientali. […]
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 […]
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, […]
How Zero-Shot AI Helps Robots “See” Grapes in Real Vineyards
Working in a vineyard means dealing with constant variation—sunlight shifts, leaves hide clusters, and every plant carries its own surprises. For farmers, this makes estimating bunch count and monitoring growth […]
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. […]
Toward a Digital Twin of Off-Road Robots: What This Research Brings to AgRibot
Authors: Arianna Rana, Antonio Petitti, Angelo Ugenti, Rocco Galati, Giulio Reina, Annalisa Milella If you’ve ever tried to model a real agricultural robot inside a simulator, you already know the […]