Riccardo Bertoglio
Publications
Publications
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On-the-go table grape ripeness estimation via proximal snapshot hyperspectral imagingComputers and Electronics in Agriculture, 2024, 226, pp.109354. ⟨10.1016/j.compag.2024.109354⟩ |
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On the precision of 6 DoF IMU-LiDAR based localization in GNSS-denied scenariosFrontiers in Robotics and AI, 2023, 10, ⟨10.3389/frobt.2023.1064930⟩ |
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A comparative study of Fourier transform and CycleGAN as domain adaptation techniques for weed segmentationSmart Agricultural Technology, 2023, 4, pp.100188. ⟨10.1016/j.atech.2023.100188⟩ |
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The Digital Agricultural Revolution: A Bibliometric Analysis Literature ReviewIEEE Access, 2021, 9, pp.134762-134782. ⟨10.1109/ACCESS.2021.3115258⟩ |
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Synthetic Crop-Weed Image Generation and its Impact on Model GeneralizationIROS 2025 Workshop on Agricultural Robotics and Automation: Driving Innovation in Agri-Food Systems, Oct 2025, Hangzhou, China |
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The ACRE Crop-Weed Dataset for Benchmarking Weed Detection Models on Maize and Beans FieldsMachine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2023), Sep 2023, Torino, Italy, Italy. ⟨10.1007/978-3-031-74633-8_21⟩ |
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Agri-Food Competition for Robot Evaluation (ACRE), the design of a competition of the METRICS project8th MCG 2022 International Conference, Nov 2022, Wrocław, Poland. ⟨10.37190/MCG2022⟩ |
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Surgical Fine-Tuning for Grape Bunch Segmentation Under Visual Domain Shifts2023 European Conference on Mobile Robots (ECMR), Sep 2023, Coimbra, Portugal. pp.1-7, ⟨10.1109/ECMR59166.2023.10256348⟩ |
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A Map-Free LiDAR-Based System for Autonomous Navigation in Vineyards2023 European Conference on Mobile Robots (ECMR), Sep 2023, Coimbra, Portugal. pp.1-6, ⟨10.1109/ECMR59166.2023.10256347⟩ |
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Optimizing agriculture with robotics and artificial Intelligence: a focus on autonomous weeding and vineyard phenotypingComputer Science [cs]. Politecnico di Milano, 2024. English. ⟨NNT : ⟩ |