Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Renzo Fabrizio Carpio"'
Publikováno v:
IEEE Transactions on Automation Science and Engineering. :1-18
Identifying pests and treating them in a timely manner is a crucial aspect of the Precision Agriculture (PA) paradigm. Driven by the needs of the H2020 European Project Pantheon, focused on precision farming in hazelnut orchards, we propose a pest ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::109ce6b1cd1797b67bd3687267f22957
https://hdl.handle.net/11590/423274
https://hdl.handle.net/11590/423274
Autor:
Ciro Potena, Andrea Gasparn, Emanuele Garone, Renzo Fabrizio Carpio, Giovanni Ulivi, Jacopo Maiolini
Publikováno v:
ICRA
In this work, we propose a global planning strategy specifically designed for precision agriculture settings, where field activities may have different requirements ranging from a full orchard inspection to sparse targeted per-plant interventions. Th
Autor:
Andrea Gasparri, Martina Lippi, Niccolo Bonucci, Stefano Speranza, Mario Contarini, Renzo Fabrizio Carpio
Publikováno v:
2021 29th Mediterranean Conference on Control and Automation (MED)
MED
MED
In this work, inspired by the needs of the H2020 European project PANTHEON for the precision farming of hazelnut orchards, we propose a data-driven pest detection system. Indeed, the early detection of pests represents an essential step towards the d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f4d43c0497633185d0a50945f804f9e2
https://hdl.handle.net/11590/393864
https://hdl.handle.net/11590/393864
Autor:
Andrea Gasparri, Renzo Fabrizio Carpio, Ciro Potena, Jacopo Maiolini, Giovanni Ulivi, Emanuele Garone, Nico Pietroni
Publikováno v:
CCTA
2020 IEEE Conference on Control Technology and Applications (CCTA)
2020 IEEE Conference on Control Technology and Applications (CCTA)
© 2020 IEEE. In this work, inspired by the needs of the H2020 European Project PANTHEON11http://www.project-pantheon.eu, we address the hazelnut sucker detection and canopy volume estimation problem on a per-plant basis. Sucker control is an essenti
Autor:
Ciro Potena, Andrea Gasparri, Jacopo Maiolini, Renzo Fabrizio Carpio, Giovanni Ulivi, Nicolas Bono Rossello, Emanuele Garone
Publikováno v:
IEEE Robotics and Automation Letters, 5 (2
In this letter, inspired by the needs of the European H2020 Project PANTHEON, 1 1 [Online]. Available: https://www.project-pantheon.eu . we propose a full navigation stack purposely designed for the autonomous navigation of Ackermann steering vehicle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fea5e20a8d556207126a6c7386214b16
https://hdl.handle.net/11590/377128
https://hdl.handle.net/11590/377128
Autor:
Rebecca Retzlaff, Sebastian Lamprecht, Marco Paolocci, Andrea Gasparri, Laura Giustarini, Emanuele Graziani, Nico Bono Rossellò, Emanuele Garone, Mario Contarini, Thomas Udelhoven, Cristian Silvestri, Giovanni Ulivi, Valerio Cristofori, Renzo Fabrizio Carpio, Stefano Speranza, Romeo Stelliferi, Riccardo Torlone, Jacopo Maiolini
Publikováno v:
Handbook of Real-Time Computing
Handbook of Real-Time Computing ISBN: 9789814585873
Handbook of Real-Time Computing ISBN: 9789814585873
In this chapter, we introduce the vision of the H2020 project ``Precision Farming of Hazelnut Orchards'' (PANTHEON), which is to develop the agricultural equivalent of an industrial Supervisory Control and Data Acquisition (SCADA) system to be used f
Publikováno v:
AgriControl 2019, 6th IFAC Conference on Sensing, Control and Automation Technologies for Agriculture
IFAC-PapersOnLine, 52 (30
IFAC-PapersOnLine, 52 (30
Water management is an important aspect in modern agriculture. Irrigation systems are becoming more and more complex, trying to minimize the water consumption while ensuring the necessities of the plants. A fundamental requirement to define efficient
Publikováno v:
IROS
In this work we consider a swarm of agents shaped as bars with a certain orientation in the state space. Members of the swarm have to reach an aggregate state, while guaranteeing the collision avoidance and possibly achieving an angular consensus. By
Publikováno v:
IEEE transactions on automation science and engineering
This paper presents a novel information-based mission planner for a drone tasked to monitor a spatially distributed dynamical phenomenon. For the sake of simplicity, the area to be monitored is discretized. The insight behind the proposed approach is