The STAR Project: Giving Smell Sense to Agricultural Robotics

Angelo Ugenti, Sara Stolyarova, Adir Krayden, Annalisa Milella, Stefan Rilling, Yael Nemirovsky, Giulio Reina

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationProceedings of I4SDG Workshop 2025 - IFToMM for Sustainable Development Goals - Volume 1
EditorsGiuseppe Carbone, Giuseppe Quaglia
Pages649-658
Number of pages10
DOIs
StatePublished - 2025
Event3rd International Workshop IFToMM for Sustainable Development Goals, I4SDG 2025 - Lamezia Terme, Italy
Duration: 9 Jun 202511 Jun 2025

Publication series

NameMechanisms and Machine Science
Volume179
ISSN (Print)2211-0984
ISSN (Electronic)2211-0992

Conference

Conference3rd International Workshop IFToMM for Sustainable Development Goals, I4SDG 2025
Country/TerritoryItaly
CityLamezia Terme
Period9/06/2511/06/25

Keywords

  • SDG15
  • SDG2
  • agricultural robotics
  • crop digital twin
  • grape monitoring
  • precision agriculture
  • robotic nose
  • smell sensing

ASJC Scopus subject areas

  • Mechanics of Materials
  • Mechanical Engineering

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