@inproceedings{69ae54f18252419b9afc69361b113925,
title = "The STAR Project: Giving Smell Sense to Agricultural Robotics",
abstract = "The ability to single out mature fruits and to selectively start the harvesting is critical for precision farming. This paper presents the latest research efforts within the STAR project funded by the 2022 Joint call of the ICT-AGRI-FOOD action. STAR aims to develop a unifying framework to combine different sensor modalities that include standard (e.g., RGB-D cameras) with novel sensors (e.g., gas sensors), and methods for creating accurate maps to facilitate operations on a narrow scale with a smaller environment footprint to make relevant information easily visible to the farmer. The framework is demonstrated in the field through the integration onboard of a farmer robot that closely monitors vineyards in Italy.",
keywords = "SDG15, SDG2, agricultural robotics, crop digital twin, grape monitoring, precision agriculture, robotic nose, smell sensing",
author = "Angelo Ugenti and Sara Stolyarova and Adir Krayden and Annalisa Milella and Stefan Rilling and Yael Nemirovsky and Giulio Reina",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.; 3rd International Workshop IFToMM for Sustainable Development Goals, I4SDG 2025 ; Conference date: 09-06-2025 Through 11-06-2025",
year = "2025",
doi = "10.1007/978-3-031-91151-4\_71",
language = "אנגלית",
isbn = "9783031911507",
series = "Mechanisms and Machine Science",
pages = "649--658",
editor = "Giuseppe Carbone and Giuseppe Quaglia",
booktitle = "Proceedings of I4SDG Workshop 2025 - IFToMM for Sustainable Development Goals - Volume 1",
}