Here is the history of PANTHEON publications.

JOURNAL PAPERS

  1. Stefano Speranza, Massimo Olmi, Adalgisa Guglielmino and Mario Contarini. Gonatopus jaliscanus sp. n., a new Pincer wasp from Jalisco, Mexico (Hymenoptera, Dryinidae). ZooKeys 818:35-42, 2019.
    Abstract A new species of Gonatopus Ljungh, 1810, G. jaliscanus sp. n., from Jalisco, Mexico, is described and illustrated. In the Neotropical region, G. jaliscanus is similar to G. forestalis Olmi, 1998, but it is distinguished by the black mesosoma (except prothorax, mesoscutum, and mesoscutellum that are yellow), and the metapostnotum being granulated and not rugose; in G. forestalis the mesosoma is completely black and the metapostnotum is granulated and strongly rugose. In the Nearctic region, the new species is morphologically similar to G. curriei Krombein, 1962, but it is distinguished by the dull and granulated metapostonotum; in G. curriei the metapostnotum is shiny and unsculptured. The new species belongs to Gonatopus group 7. The keys to the females of the Nearctic and Neotropical species of this group are modified to include the new taxon. URL, DOI BibTeX

    @article{10.3897/zookeys.818.30974,
    	author = "Speranza, Stefano and Olmi, Massimo and Guglielmino, Adalgisa and Contarini, Mario",
    	title = "Gonatopus jaliscanus sp. n., a new Pincer wasp from Jalisco, Mexico (Hymenoptera, Dryinidae)",
    	journal = "ZooKeys",
    	volume = 818,
    	pages = "35-42",
    	year = 2019,
    	doi = "10.3897/zookeys.818.30974",
    	publisher = "Pensoft Publishers",
    	abstract = "A new species of Gonatopus Ljungh, 1810, G. jaliscanus sp. n., from Jalisco, Mexico, is described and illustrated. In the Neotropical region, G. jaliscanus is similar to G. forestalis Olmi, 1998, but it is distinguished by the black mesosoma (except prothorax, mesoscutum, and mesoscutellum that are yellow), and the metapostnotum being granulated and not rugose; in G. forestalis the mesosoma is completely black and the metapostnotum is granulated and strongly rugose. In the Nearctic region, the new species is morphologically similar to G. curriei Krombein, 1962, but it is distinguished by the dull and granulated metapostonotum; in G. curriei the metapostnotum is shiny and unsculptured. The new species belongs to Gonatopus group 7. The keys to the females of the Nearctic and Neotropical species of this group are modified to include the new taxon.",
    	issn = "1313-2989",
    	url = "http://pantheon.inf.uniroma3.it/images/Publications/J1.pdf",
    	eprint = "https://doi.org/10.3897/zookeys.818.30974"
    }
    
  2. Stefano Speranza, Massimo Olmi, Adalgisa Guglielmino and Mario Contarini. A new species of the genus Deinodryinus Perkins (Hymenoptera, Dryinidae) from the USA. ZooKeys 809:31-39, 2018.
    Abstract A new species of Deinodryinus Perkins, 1907, is described from the USA, Texas: D. bimaculatus sp. n. Morphologically the new species is similar to D. masneri (Olmi, 1984), but it is distinguished by the head lacking a frontal line and the forewing crossed by two dark transverse bands; in D. masneri the head shows a conspicuous frontal line and the forewing is hyaline and without dark transverse bands. URL, DOI BibTeX

    @article{10.3897/zookeys.809.30647,
    	author = "Speranza, Stefano and Olmi, Massimo and Guglielmino, Adalgisa and Contarini, Mario",
    	title = "A new species of the genus Deinodryinus Perkins (Hymenoptera, Dryinidae) from the USA",
    	journal = "ZooKeys",
    	volume = 809,
    	pages = "31-39",
    	year = 2018,
    	doi = "10.3897/zookeys.809.30647",
    	publisher = "Pensoft Publishers",
    	abstract = "A new species of Deinodryinus Perkins, 1907, is described from the USA, Texas: D. bimaculatus sp. n. Morphologically the new species is similar to D. masneri (Olmi, 1984), but it is distinguished by the head lacking a frontal line and the forewing crossed by two dark transverse bands; in D. masneri the head shows a conspicuous frontal line and the forewing is hyaline and without dark transverse bands.",
    	issn = "1313-2989",
    	url = "http://pantheon.inf.uniroma3.it/images/Publications/J2.pdf",
    	eprint = "https://doi.org/10.3897/zookeys.809.30647"
    }
    

BOOK CHAPTERS

  1. Antonio Maccioni and Riccardo Torlone. KAYAK: A Framework for Just-in-Time Data Preparation in a Data Lake. In Advanced Information Systems Engineering. 2018, 474–489.
    Abstract A data lake is a loosely-structured collection of data at large scale that is usually fed with almost no requirement of data quality. This approach aims at eliminating any human effort before the actual exploitation of data, but the problem is only delayed since preparing and querying a data lake is usually a hard task. We address this problem by introducing Kayak, a framework that helps data scientists in the definition and optimization of pipelines of data preparation. Since in many cases approximations of the results, which can be computed rapidly, are enough informative, Kayak allows the users to specify their needs in terms of accuracy over performance and produces previews of the outputs satisfying such requirement. In this way, the pipeline is executed much faster and the process of data preparation is shortened. We discuss the design choices of Kayak including execution strategies, optimization techniques, scheduling of operations, and metadata management. With a set of preliminary experiments, we show that the approach is effective and scales well with the number of datasets in the data lake. URL, DOI BibTeX

    @inproceedings{10.1007/978-3-319-91563-0_29,
    	author = "Maccioni, Antonio and Torlone, Riccardo",
    	title = "KAYAK: A Framework for Just-in-Time Data Preparation in a Data Lake",
    	booktitle = "Advanced Information Systems Engineering",
    	publisher = "Springer International Publishing",
    	address = "Cham",
    	year = 2018,
    	pages = "474--489",
    	doi = "10.1007/978-3-319-91563-0_29",
    	isbn = "978-3-319-91563-0",
    	url = "http://pantheon.inf.uniroma3.it/images/Publications/6.pdf",
    	abstract = "A data lake is a loosely-structured collection of data at large scale that is usually fed with almost no requirement of data quality. This approach aims at eliminating any human effort before the actual exploitation of data, but the problem is only delayed since preparing and querying a data lake is usually a hard task. We address this problem by introducing Kayak, a framework that helps data scientists in the definition and optimization of pipelines of data preparation. Since in many cases approximations of the results, which can be computed rapidly, are enough informative, Kayak allows the users to specify their needs in terms of accuracy over performance and produces previews of the outputs satisfying such requirement. In this way, the pipeline is executed much faster and the process of data preparation is shortened. We discuss the design choices of Kayak including execution strategies, optimization techniques, scheduling of operations, and metadata management. With a set of preliminary experiments, we show that the approach is effective and scales well with the number of datasets in the data lake."
    }
    

CONFERENCE PAPERS

  1. Matteo Santilli, Alessandro Marino and Andrea Gasparri. A Finite-Time Protocol for Distributed Continuous-Time Optimization of Sum of Locally Coupled Strictly Convex Functions. In 2018 IEEE Conference on Decision and Control (CDC). December 2018, 993-998.
    Abstract In this paper we study a distributed optimization problem for continuous time multi-agent systems. In our setting, the global objective for the multi-agent system is to minimize the sum of locally coupled strictly convex cost functions. Notably, this class of optimization objectives can be used to encode several important problems such as distributed estimation. For this problem setting, we propose a distributed signed gradient descent algorithm, which relies on local observers to retrieve 2-hop state information that are required to compute the descent direction. Adaptive gains for the local observer are introduced to render the convergence independent from: i) the structure of the network topology and ii) the local gains of the per-agent signed gradient-descent update law. The finite-time convergence of the local observer and of the proposed signed gradient descent method is demonstrated. Numerical simulations involving a distributed weighted least-square (WLS) estimation problem, with the aim of identifying in the context of an advanced water management system for precision-farming the soil thermal properties in a large-scale hazelnut orchard, have been proposed to corroborate the theoretical findings. URL, DOI BibTeX

    @inproceedings{cdc2018,
    	author = "Santilli, Matteo and Marino, Alessandro and Gasparri, Andrea",
    	booktitle = "2018 IEEE Conference on Decision and Control (CDC)",
    	title = "A Finite-Time Protocol for Distributed Continuous-Time Optimization of Sum of Locally Coupled Strictly Convex Functions",
    	address = "Florida, USA",
    	month = "Dec",
    	year = 2018,
    	pages = "993-998",
    	doi = "10.1109/CDC.2018.8619315",
    	issn = "2576-2370",
    	url = "http://pantheon.inf.uniroma3.it/images/Publications/9.pdf",
    	abstract = "In this paper we study a distributed optimization problem for continuous time multi-agent systems. In our setting, the global objective for the multi-agent system is to minimize the sum of locally coupled strictly convex cost functions. Notably, this class of optimization objectives can be used to encode several important problems such as distributed estimation. For this problem setting, we propose a distributed signed gradient descent algorithm, which relies on local observers to retrieve 2-hop state information that are required to compute the descent direction. Adaptive gains for the local observer are introduced to render the convergence independent from: i) the structure of the network topology and ii) the local gains of the per-agent signed gradient-descent update law. The finite-time convergence of the local observer and of the proposed signed gradient descent method is demonstrated. Numerical simulations involving a distributed weighted least-square (WLS) estimation problem, with the aim of identifying in the context of an advanced water management system for precision-farming the soil thermal properties in a large-scale hazelnut orchard, have been proposed to corroborate the theoretical findings."
    }
    
  2. Renzo Fabrizio Carpio, Letizia Di Giulio, Emanuele Garone, Giovanni Ulivi and Andrea Gasparri. A Distributed Swarm Aggregation Algorithm for Bar Shaped Multi-Agent Systems. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). October 2018, 4304-4307.
    Abstract 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 relying on a segment-to-segment distance definition, we propose a control law, which guides the agents towards this goal. A theoretical analysis of the proposed control scheme along with simulations and experimental results is provided. The proposed framework can be used to model several application scenarios ranging from collaborative transportation to precision farming, where each agent may represent either a large robot or a group of robots intent to carry bar-like shaped loads. Representative examples include: a fleet of robot-teams performing a collaborative object transportation task in an automated logistic setting, or a fleet of autonomous tractors each carrying a large atomizer to spray chemical products for pest and disease control in a precision farming setting. URL, DOI BibTeX

    @inproceedings{carpio_distributed_2018,
    	author = "Carpio, Renzo Fabrizio and Di Giulio, Letizia and Garone, Emanuele and Ulivi, Giovanni and Gasparri, Andrea",
    	title = "A Distributed Swarm Aggregation Algorithm for Bar Shaped Multi-Agent Systems",
    	booktitle = "IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)",
    	address = "Madrid, Spain",
    	month = "Oct",
    	year = 2018,
    	pages = "4304-4307",
    	doi = "10.1109/IROS.2018.8594236",
    	url = "http://pantheon.inf.uniroma3.it/images/Publications/5.pdf",
    	abstract = "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 relying on a segment-to-segment distance definition, we propose a control law, which guides the agents towards this goal. A theoretical analysis of the proposed control scheme along with simulations and experimental results is provided. The proposed framework can be used to model several application scenarios ranging from collaborative transportation to precision farming, where each agent may represent either a large robot or a group of robots intent to carry bar-like shaped loads. Representative examples include: a fleet of robot-teams performing a collaborative object transportation task in an automated logistic setting, or a fleet of autonomous tractors each carrying a large atomizer to spray chemical products for pest and disease control in a precision farming setting."
    }
    
  3. Elie Hermand, Tam Willy Nguyen, Mehdi Hosseinzadeh and Emanuele Garone. Constrained Control of UAVs in Geofencing Applications. In 2018 26th Mediterranean Conference on Control and Automation (MED). June 2018, 217-222.
    Abstract This paper focuses on the constrained control of UAVs in geofencing applications. Although geofence systems are becoming more attractive as a research topic, most works are focusing on defining the boundaries of the admissible geographical region without addressing the control issues and boundary-handling problems. In this paper, we propose a constrained control scheme to steer an UAV to the desired position while ensuring constraints satisfaction at all times. To do so, we make use of the recently introduced Explicit Reference Governor framework. The proposed scheme is validated through extensive experimental studies carried out in a laboratory environment. URL, DOI BibTeX

    @inproceedings{8443035,
    	author = "Hermand, Elie and Nguyen, Tam Willy and Hosseinzadeh, Mehdi and Garone, Emanuele",
    	title = "Constrained Control of UAVs in Geofencing Applications",
    	booktitle = "2018 26th Mediterranean Conference on Control and Automation (MED)",
    	address = "Zadar, Croatia",
    	month = "June",
    	year = 2018,
    	pages = "217-222",
    	doi = "10.1109/MED.2018.8443035",
    	issn = "2473-3504",
    	url = "http://pantheon.inf.uniroma3.it/images/Publications/8.pdf",
    	abstract = "This paper focuses on the constrained control of UAVs in geofencing applications. Although geofence systems are becoming more attractive as a research topic, most works are focusing on defining the boundaries of the admissible geographical region without addressing the control issues and boundary-handling problems. In this paper, we propose a constrained control scheme to steer an UAV to the desired position while ensuring constraints satisfaction at all times. To do so, we make use of the recently introduced Explicit Reference Governor framework. The proposed scheme is validated through extensive experimental studies carried out in a laboratory environment."
    }
    

EXTENDED ABSTRACTS

  1. Andrea Gasparri, Giovanni Ulivi, Nicolas Bono Rossello and Emanuele Garone. The H2020 project Pantheon: precision farming of hazelnut orchards (extended abstract). In Convegno Automatica. September 2018.
    Abstract Agriculture has commonly been pioneer in the use of new technologies to improve productivity. Modern hazelnut farming generally is carried out using regular layouts to allow the mechanization of many field operations, as it is the use of tractors and specialized agricultural machinery. However, there are still time consuming and labor-intense agronomic activities that could be clearly improved. Inspired by the real needs of the consortium member FERRERO, project PANTHEON focuses on the management of large hazelnut orchards, where, to the best of our knowledge, precision farming techniques have not been investigated yet. The main drawback of current hazelnuts farming procedures is that, for plantations larger than 10 ha, performing a per-plant monitoring and responding to the needs of each single plant is very challenging. In current best practices, decisions are often made by assessing the status of a few representative plants and then extending the treatments to the entire sectors were these plants are located, which in the case of large plantations, may mean areas up to 50 ha. The goal of project PANTHEON is to develop the agricultural equivalent of an industrial Supervisory Control And Data Acquisition (SCADA) system to be used for the precision farming of large orchards of hazelnut (Corylus avellana L.) URL BibTeX

    @inproceedings{gasparri_h2020_2018,
    	author = "Gasparri, Andrea and Ulivi, Giovanni and Bono Rossello, Nicolas and Garone, Emanuele",
    	title = "The {H}2020 project {Pantheon}: precision farming of hazelnut orchards (extended abstract)",
    	booktitle = "Convegno Automatica",
    	address = "Florence, Italy",
    	month = "Sep",
    	year = 2018,
    	url = "http://pantheon.inf.uniroma3.it/images/Publications/7.pdf",
    	abstract = "Agriculture has commonly been pioneer in the use of new technologies to improve productivity. Modern hazelnut farming generally is carried out using regular layouts to allow the mechanization of many field operations, as it is the use of tractors and specialized agricultural machinery. However, there are still time consuming and labor-intense agronomic activities that could be clearly improved. Inspired by the real needs of the consortium member FERRERO, project PANTHEON focuses on the management of large hazelnut orchards, where, to the best of our knowledge, precision farming techniques have not been investigated yet. The main drawback of current hazelnuts farming procedures is that, for plantations larger than 10 ha, performing a per-plant monitoring and responding to the needs of each single plant is very challenging. In current best practices, decisions are often made by assessing the status of a few representative plants and then extending the treatments to the entire sectors were these plants are located, which in the case of large plantations, may mean areas up to 50 ha. The goal of project PANTHEON is to develop the agricultural equivalent of an industrial Supervisory Control And Data Acquisition (SCADA) system to be used for the precision farming of large orchards of hazelnut (Corylus avellana L.)"
    }
    
  2. Mario Contarini, Valerio Cristofori, Cristian Silvestri, Luca Rossini, Leonardo Varvaro, Andrea Gasparri, Emanuele Garone, Thomas Udelhoven, Rebecca Retzlaff, Sebastian Lamprecht, Emanuele Graziani, Michela Pecchia, Laura Giustarini, Cristina Carletti, Giovanni Ulivi, Riccardo Torlone, Alessandro Albino Frezza and Stefano Speranza. PANTHEON (Precision Farming of Hazelnut Orchards) for the improvement of integrated pest management (IPM) effectiveness (extended abstract). In XI European Congress of Entomology. July 2018.
    Abstract The aim of this project is to develop the agricultural equivalent of an industrial Supervisory Control And Data Acquisition (SCADA) system to be used for the precision farming of large orchards of hazelnut (Corylus avellana L.). Unmanned aerial platform (UAV) and ground vehicles able to navigate in the orchard will be equipped to perform autonomously required operations as the collection of data on the plant growth habits, yield and on its phytosanitary status. Particularly, for the crop protection action it will be developed a system useful for the quantification of pest and disease incidence in the orchard, and for optimization of the quantities and the typology of pesticides used for insect pests and disease control. This will result in an increased effectiveness of Integrated Pest Managements (IPM URL BibTeX

    @inproceedings{contarini_pantheon_2018-1,
    	author = "Contarini, Mario and Cristofori, Valerio and Silvestri, Cristian and Rossini, Luca and Varvaro, Leonardo and Gasparri, Andrea and Garone, Emanuele and Udelhoven, Thomas and Retzlaff, Rebecca and Lamprecht, Sebastian and Graziani, Emanuele and Pecchia, Michela and Giustarini, Laura and Carletti, Cristina and Ulivi, Giovanni and Torlone, Riccardo and Albino Frezza, Alessandro and Speranza, Stefano",
    	title = "{PANTHEON} ({Precision} {Farming} of {Hazelnut} {Orchards}) for the improvement of integrated pest management ({IPM}) effectiveness (extended abstract)",
    	booktitle = "XI European Congress of Entomology",
    	address = "Naples, Italy",
    	month = "Jul",
    	year = 2018,
    	url = "http://pantheon.inf.uniroma3.it/images/Publications/4.pdf",
    	abstract = "The aim of this project is to develop the agricultural equivalent of an industrial Supervisory Control And Data Acquisition (SCADA) system to be used for the precision farming of large orchards of hazelnut (Corylus avellana L.). Unmanned aerial platform (UAV) and ground vehicles able to navigate in the orchard will be equipped to perform autonomously required operations as the collection of data on the plant growth habits, yield and on its phytosanitary status. Particularly, for the crop protection action it will be developed a system useful for the quantification of pest and disease incidence in the orchard, and for optimization of the quantities and the typology of pesticides used for insect pests and disease control. This will result in an increased effectiveness of Integrated Pest Managements (IPM"
    }
    
  3. Valerio Cristofori, Stefano Speranza, Cristian Silvestri, Mario Contarini, Leonardo Varvaro, Andrea Gasparri, Emanuele Garone, Thomas Udelhoven, Rebecca Retzlaff, Sebastian Lamprecht, Emanuele Graziani, Michela Pecchia, Laura Giustarini, Daniele Galli, Cristina Carletti, Giovanni Ulivi, Riccardo Torlone and Alessandro Albino Frezza. PANtHEOn-precision farming in hazelnut orchards (abstract). In Acta Italus Horto XII giornate Scientifiche SOI. June 2018.
    Abstract The aim of PANtHEOn is to develop the agricultural equivalent of an industrial Supervisory Control And Data Acquisition (SCADA) system to be used for the precision farming in orchards of hazelnut (Corylus avellana L.). By taking advantage of the technological advancements in the fields of robotics, remote sensing and big-data management, the objective is to design an integrated system where a relatively limited number of heterogeneous unmanned robotic components move within the orchards collecting data and performing some of the most common farming operations. The information will be stored in a central operative unit that will integrate the data coming from the different robotic units to perform automatic feedback actions (e.g. to regulate the irrigation system) and to support the decisions of agronomists and farmers. We expect that the proposed SCADA system will be able to acquire information at the resolution of the single plant. This will permit to drastically increase the detection of possible limiting factors for each individual plant, such as lack of water or pests and diseases affecting the plant health, and to react accordingly. Compared to the current knowledge in precision farming, we believe that the proposed SCADA infrastructure represents a relevant step ahead in the context of orchards management. In fact, the capability of monitoring the state and the evolution of each single tree will be the enabling technology to allow more focused interventions. This will result in a better average state of health of the orchard, and in an increased effectiveness of Integrated Pest Managements (IPM). In conclusion, the main advantages of this architecture are: 1) Increase the hazelnut orchard production 2) Decrease in chemical inputs usage 3) High efficiency water usage 4) Simplified orchard management. The outcome of the project will be validated through a final demo on a real-world (1:1 scale) hazelnut orchards URL BibTeX

    @inproceedings{cristofori_pantheon-precision_2018,
    	author = "Cristofori, Valerio and Speranza, Stefano and Silvestri, Cristian and Contarini, Mario and Varvaro, Leonardo and Gasparri, Andrea and Garone, Emanuele and Udelhoven, Thomas and Retzlaff, Rebecca and Lamprecht, Sebastian and Graziani, Emanuele and Pecchia, Michela and Giustarini, Laura and Galli, Daniele and Carletti, Cristina and Ulivi, Giovanni and Torlone, Riccardo and Albino Frezza, Alessandro",
    	title = "{PANtHEOn}-precision farming in hazelnut orchards (abstract)",
    	booktitle = "Acta Italus Horto XII giornate Scientifiche SOI",
    	address = "Bologna, Italy",
    	month = "Jun",
    	year = 2018,
    	url = "http://pantheon.inf.uniroma3.it/images/Publications/3.pdf",
    	abstract = "The aim of PANtHEOn is to develop the agricultural equivalent of an industrial Supervisory Control And Data Acquisition (SCADA) system to be used for the precision farming in orchards of hazelnut (Corylus avellana L.). By taking advantage of the technological advancements in the fields of robotics, remote sensing and big-data management, the objective is to design an integrated system where a relatively limited number of heterogeneous unmanned robotic components move within the orchards collecting data and performing some of the most common farming operations. The information will be stored in a central operative unit that will integrate the data coming from the different robotic units to perform automatic feedback actions (e.g. to regulate the irrigation system) and to support the decisions of agronomists and farmers. We expect that the proposed SCADA system will be able to acquire information at the resolution of the single plant. This will permit to drastically increase the detection of possible limiting factors for each individual plant, such as lack of water or pests and diseases affecting the plant health, and to react accordingly. Compared to the current knowledge in precision farming, we believe that the proposed SCADA infrastructure represents a relevant step ahead in the context of orchards management. In fact, the capability of monitoring the state and the evolution of each single tree will be the enabling technology to allow more focused interventions. This will result in a better average state of health of the orchard, and in an increased effectiveness of Integrated Pest Managements (IPM). In conclusion, the main advantages of this architecture are: 1) Increase the hazelnut orchard production 2) Decrease in chemical inputs usage 3) High efficiency water usage 4) Simplified orchard management. The outcome of the project will be validated through a final demo on a real-world (1:1 scale) hazelnut orchards"
    }
    
  4. Mario Contarini, Valerio Cristofori, Cristian Silvestri, Luca Rossini, Andrea Gasparri, Emanuele Garone, Thomas Udelhoven, Rebecca Retzlaff, Sebastian Lamprecht, Emanuele Graziani, Michela Pecchia, Laura Giustarini, Cristina Carletti, Gianni Ulivi, Riccardo Torlone, Alessandro Albino Frezza and Stefano Speranza. PANTHEON (Precision Farming of Hazelnut Orchards) for the improvement of integrated pest management (IPM) effectiveness. In 70th International Symptosium on Crop Protection. May 2018.
    Abstract We are presenting PANtHEOn, a project funded by the H2020-SFS-2016-2017 Call, Research and Innovation Action, Topic SFS-05-2017, which is aimed at the development of the agricultural equivalent of an industrial Supervisory Control and Data Acquisition (SCADA) system to be used for the precision farming of large orchards of hazelnut (Corylus avellana L.). The project will be focused on the develop of unmanned aerial platform (UAV) and ground vehicles able to navigate in the orchard and to perform autonomously required operations. These instruments are useful to collect data on the plant growth habits, yield and on its phytosanitary status. All data will be sent to a central unit where an expert system will be able to assess the plant’s health and to suggest the decision-making process concerning the required agronomic interventions. The latter are based on the measured indices and on the historical data of each plant. The crop protection action will consist in the monitoring of pests and diseases incidence in the orchard and in the quantification of the intervention threshold for each damage. The field data will be also used to calibrate the indicators, based on remote sensing data, and to optimize the quantities and the typology of pesticides used for insect pests and disease control. The considered biotic stress factors are: Phytoptus avellanae; Curculio nucum; true bugs (Halyomorpha halys, Gonocerus acuteangulatus, Palomena prasina, Piezodorus lituratus, Raphygaster nebulosa, Nezara viridula and Dolycorum baccarum) involved in economic detriment due to the quality losses by kernel abortion, malformation and emergence of unpleasant flavor; Cytospora canker, caused by the ascomycete Cytospora curricula; Fusarium lateritium; the bacteria Pseudomonas avellanae and Xanthomonas arborol pv. corylina. In conclusion, one goal of this project is to improve the average health condition of the orchard, and to increase the effectiveness of the IPM techniques for a more sustainable management of the ecosystem. URL BibTeX

    @inproceedings{contarini_pantheon_2018,
    	author = "Contarini, Mario and Cristofori, Valerio and Silvestri, Cristian and Rossini, Luca and Gasparri, Andrea and Garone, Emanuele and Udelhoven, Thomas and Retzlaff, Rebecca and Lamprecht, Sebastian and Graziani, Emanuele and Pecchia, Michela and Giustarini, Laura and Carletti, Cristina and Ulivi, Gianni and Torlone, Riccardo and Albino Frezza, Alessandro and Speranza, Stefano",
    	title = "{PANTHEON} ({Precision} {Farming} of {Hazelnut} {Orchards}) for the improvement of integrated pest management ({IPM}) effectiveness",
    	booktitle = "70th International Symptosium on Crop Protection",
    	address = "Ghent, Belgium",
    	month = "May",
    	year = 2018,
    	url = "http://pantheon.inf.uniroma3.it/images/Publications/2.pdf",
    	abstract = "We are presenting PANtHEOn, a project funded by the H2020-SFS-2016-2017 Call, Research and Innovation Action, Topic SFS-05-2017, which is aimed at the development of the agricultural equivalent of an industrial Supervisory Control and Data Acquisition (SCADA) system to be used for the precision farming of large orchards of hazelnut (Corylus avellana L.). The project will be focused on the develop of unmanned aerial platform (UAV) and ground vehicles able to navigate in the orchard and to perform autonomously required operations. These instruments are useful to collect data on the plant growth habits, yield and on its phytosanitary status. All data will be sent to a central unit where an expert system will be able to assess the plant’s health and to suggest the decision-making process concerning the required agronomic interventions. The latter are based on the measured indices and on the historical data of each plant. The crop protection action will consist in the monitoring of pests and diseases incidence in the orchard and in the quantification of the intervention threshold for each damage. The field data will be also used to calibrate the indicators, based on remote sensing data, and to optimize the quantities and the typology of pesticides used for insect pests and disease control. The considered biotic stress factors are: Phytoptus avellanae; Curculio nucum; true bugs (Halyomorpha halys, Gonocerus acuteangulatus, Palomena prasina, Piezodorus lituratus, Raphygaster nebulosa, Nezara viridula and Dolycorum baccarum) involved in economic detriment due to the quality losses by kernel abortion, malformation and emergence of unpleasant flavor; Cytospora canker, caused by the ascomycete Cytospora curricula; Fusarium lateritium; the bacteria Pseudomonas avellanae and Xanthomonas arborol pv. corylina. In conclusion, one goal of this project is to improve the average health condition of the orchard, and to increase the effectiveness of the IPM techniques for a more sustainable management of the ecosystem."
    }
    
  5. Nicolas Bono Rossello, Emanuele Garone, Andrea Gasparri and Renzo Carpio. A Supervisory Control And Data Acquisition (SCADA) system in agriculture and related path planning problems. In 37th Benelux Meeting on Systems and Control. March 2018.
    Abstract Agriculture has commonly been pioneer in the use of new technologies to improve productivity. This contribution aims at presenting some of the research activities withing the H2020 project PANTHEON. This project is to develop the agricultural equivalent of an industrial Supervisory Control And Data Acquisition (SCADA) system to be used for the precision farming of orchards. By taking advantage of the technological advancements in the fields of control, robotics, remote sensing, and big-data management, our objective is to design an integrated system where a relatively limited number of heterogeneous unmanned robotic components (including terrestrial and aerial robots) move within the orchard to collect data and perform typical farming operations. The information will be collected and stored in a central operative unit that will integrate the data coming from the different robotic (ground and aerial) vehicles to perform automatic feedback actions (e.g. to regulate the irrigation system) and to support the decisions of the agronomists and farmers in charge of the orchard. URL BibTeX

    @inproceedings{bono_rossello_supervisory_2018-1,
    	author = "Bono Rossello, Nicolas and Garone, Emanuele and Gasparri, Andrea and Carpio, Renzo",
    	title = "A {Supervisory} {Control} {And} {Data} {Acquisition} ({SCADA}) system in agriculture and related path planning problems",
    	booktitle = "37th Benelux Meeting on Systems and Control",
    	address = "Soesterberg, The Netherlands",
    	month = "March",
    	year = 2018,
    	url = "http://pantheon.inf.uniroma3.it/images/Publications/1.pdf",
    	abstract = "Agriculture has commonly been pioneer in the use of new technologies to improve productivity. This contribution aims at presenting some of the research activities withing the H2020 project PANTHEON. This project is to develop the agricultural equivalent of an industrial Supervisory Control And Data Acquisition (SCADA) system to be used for the precision farming of orchards. By taking advantage of the technological advancements in the fields of control, robotics, remote sensing, and big-data management, our objective is to design an integrated system where a relatively limited number of heterogeneous unmanned robotic components (including terrestrial and aerial robots) move within the orchard to collect data and perform typical farming operations. The information will be collected and stored in a central operative unit that will integrate the data coming from the different robotic (ground and aerial) vehicles to perform automatic feedback actions (e.g. to regulate the irrigation system) and to support the decisions of the agronomists and farmers in charge of the orchard."
    }