Publications

Here the partners will add their publications that ack haly.id project. Thanks!

2021

Rosalba Calvini, Veronica Ferrari, Lara Maistrello and Alessandro Ulrici, “Monitoring of insect pests in crop fields using spectral imaging”, in the 20th Int’l Conference on NIR 2021 Beijing BEST PAPER AWARD.

Francesco Betti Sorbelli, Sajal K. Das, Cristina M. Pinotti, and Giulio Rigoni, “A comprehensive investigation on range-free localization algorithms with mobile anchors at different altitudes”, 2021, Vol. 73, in Pervasive Mob. Comput.

R. Trufelea, M. Dimoiu, L. Ichim, D. Popescu, Detection of Harmful Insects for Orchard Using Convolutional Neural Networks, U.P.B. Sci. Bull., Series C, Vol. 83, Iss. 4, 2021, pp 85-96.

2022

D. Popescu, L. Ichim, M. Dimoiu and R. Trufelea, “Comparative Study of Neural Networks Used in Halyomorpha Halys Detection,” 2022 30th Mediterranean Conference on Control and Automation (MED), 2022, pp. 182-187.

D. Popescu, T. -L. Serghei and L. Ichim, “Dual Networks Based System for Detecting and Classifying Harmful Insects in Orchards,” 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), Maldives, Maldives, 2022, pp. 1-6.

Dinca, A., Angelescu, N., Ichim, L., Popescu, D. (2023). Halyomorpha Halys Detection Using Efficient Neural Networks. In: Tanveer, M., Agarwal, S., Ozawa, S., Ekbal, A., Jatowt, A. (eds) Neural Information Processing. ICONIP 2022. Lecture Notes in Computer Science, vol 13625. Springer, Cham. https://doi.org/10.1007/978-3-031-30111-7_39

A. Sava, L. Ichim and D. Popescu, “Detection of Halyomorpha Halys Using Neural Networks,” 2022 8th International Conference on Control, Decision and Information Technologies (CoDIT), Istanbul, Turkey, 2022, pp. 437-442. IEEE

Pullwitt, S., Schlichter, J., Wolf, L. (2022). UAV-assisted Multiband WSN Coverage Evaluation. Fachgespräch Sensornetze .

A. Kargar, M. Wilk, D. Zorbas, M. Gaffney, B. O’Flynn, “A Novel Resource-Constrained Insect Monitoring System based on Machine Vision with Edge AI”, 5th IEEE International Conference on Image Processing,
Applications and Systems (IPAS), Genova, Italy, Dec. 2022

F. Betti Sorbelli, A. Navarra, L. Palazzetti, C.M. Pinotti, G. Prencipe; “Optimal and Heuristic Algorithms for Data Collection by Using an Energy- and Storage-Constrained Drone”, in Algosensors 2022

Francesco Betti Sorbelli, Federico Coro, Sajal K Das, Lorenzo Palazzetti, Cristina M Pinotti, “Drone-based Optimal and Heuristic Orienteering Algorithms Towards Bug Detection in Orchards“, in the 18th Int’l Conference on Distributed Comput. in Sensor Systems (DCOSS), 2022: pp. 117-124.

F. B. Sorbelli, S. Carpin, F. Corò, S. K. Das, A. Navarra and C. M. Pinotti, “Speeding up Routing Schedules on Aisle Graphs With Single Access,” in IEEE Transactions on Robotics, vol. 38(1), 433-447, 2022.

image processing by artificial neural networks: a systematic review. Frontiers in Plant Science, Vol. 14, 2023, doi: 10.3389/fpls.2023.1237695

Francesco Betti Sorbelli, Federico Corò, Sajal K. Das, Emanuele Di Bella, Lara Maistrello, Lorenzo Palazzetti, Cristina M. Pinotti, “A Drone-based Application for Scouting Halyomorpha halys Bugs in Orchards with Multifunctional Nets“, in the 20th Int’l Conference on Pervasive Comput. and Comm.BEST DEMO AWARD.

2023

Vicol, A., Ichim, L., and Popescu, D., “Brown Marmorated Stink Bug Detection Using Multiple Neural Networks,” 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), Tenerife, Canary Islands, Spain, 2023, pp. 1-6, doi: 10.1109/ICECCME57830.2023.10252700.

Dinca, A., Popescu, D., Pinotti, C.M., Ichim, L., Palazzetti, L., Angelescu, N. (2023). Halyomorpha Halys Detection in Orchard from UAV Images Using Convolutional Neural Networks. In: Rojas, I., Joya, G., Catala, A. (eds) Advances in Computational Intelligence. IWANN 2023. Lecture Notes in Computer Science, vol 14135. Springer, Cham. https://doi.org/10.1007/978-3-031-43078-7_26

D. Popescu and L. Ichim, “University – Research – Farm Cooperation to Identify the Halyomorpha Halys Invasion in Orchards,” 2023 IEEE Global Engineering Education Conference (EDUCON), Kuwait, Kuwait, 2023, pp. 1-5, doi: 10.1109/EDUCON54358.2023.10125239.

Catalin Lazar, Dan Popescu, Lara Maistrello, Elena Costi, Loretta Ichim, Emil Igor Vlad Georgescu.  A Model for Simulation of Developmental Instars of Halyomorpha Halys, 2023 IEEE International Workshop, IEEEMetroAgriFor 2023

Alexandru Dinca, Nicoleta Angelescu, Loretta Ichim, Trandafir-Liviu Serghei, Dan Popescu. Efficient Detection of Invasive Stink Bugs Using Convolutional Neural Networks, 31 st Telecommunications Forum. 21 st and 22 nd November 2023, Belgrade, Serbia (Telfor 2023).

Popescu D., Dinca A., Ichim L., Angelescu N. New trends in detection of harmful insects and pests in modern agriculture using artificial neural networks. a review. Frontiers in Plant Science, Vol. 14, 2023, DOI=10.3389/fpls.2023.1268167, ISSN=1664-462X

Popescu D, Ichim L and Stoican F (2023) Orchard monitoring based on unmanned aerial vehicles and

Ferrari, V., Calvini, R., Boom, B., Menozzi, C., Rangarajan, A. K., Maistrello, L., Offermans, P. & Ulrici, A. (2023). Evaluation of the potential of near infrared hyperspectral imaging for monitoring the invasive brown marmorated stink bugChemometrics and Intelligent Laboratory Systems, 234, 104751 (a preliminary version is available here  arXiv:2301.08252v).

Almstedt, L., Bleeke, K., Mahhouk, M., Jehl, L., Kapitza, R., & Wolf, L. (2023). ContractBox: Realizing accountable data sharing on the edge using a small scale blockchain. Computer Networks, 109768.

All Participants, “Technological Innovations in Agriculture for Scouting Emergent Pests in Orchards“, ISIoT 2023 4th International Workshop on Intelligent Systems for the Internet of Things Workshop of IEEE DCOSS-IoT 2023, June 21 2023, Pafos, Cyprus

Daniele Giannetti, Niccolò Patelli, Francesco Betti Sorbelli, Lorenzo Palazzetti, Maria Cristina Pinotti, Lara Maistrello, “The HALY. ID project: an innovative field data acquisition system based on drones and machine learning to monitor Halyomorpha halys“, Poster presso: XXVII Congresso Nazionale Italiano di Entomologia, PALERMO, 12-16 giugno 2023

Maistrello L., Giannetti D., Patelli N., Betti Sorbelli F., Pinotti C.M., “Do drones affect the behaviour of Halyomorpha halys? Implications for pest monitoring in pear orchards“, XII European Congress of Entomology Heraklion, Crete, Greece from 16-20 October 2023, (oral presentation by Lara Maistrello)

David Niederprüm, Jan Schlichter, Sven Pullwitt and Lars Wolf, “Approaches for the Design of Sensor Networks for Pest Monitoring in Farming Applications“, 5th International Workshop on IoT Applications and Industry 5.0 of IEEE DCOSS-IoT 2023, June 21 2023, Pafos, Cyprus

David Niederprüm, Shashank Anil Kumar Jhansale and Lars Wolf, “Towards Detecting Brown Marmorated Stink Bug Using Stationary Cameras“, in 2023 IEEE International Workshop on Metrology for Agriculture and Forestry, pages 439-443, 2023

Leonard J. Zurek, Amin Kagar, Brendan O’Flynn, David Niederprüm, Lars Wolf and Dimitrios Zorbas, “Evaluation of Wireless Technologies for an Embedded Camera-based Pest Monitoring System“, in 2023 IEEE International Workshop on Metrology for Agriculture and Forestry, pages 449-454, 2023

Francesco Betti Sorbelli, Lorenzo Palazzetti, Cristina M. Pinotti, “YOLO-based detection of Halyomorpha halys in orchards using RGB cameras and drones“, in Computers and Electronics in Agriculture, Volume 213, 2023,108228, ISSN 0168-1699,https://doi.org/10.1016/j.compag.2023.108228.

Francesco Betti Sorbelli, Lorenzo Palazzetti, Cristina M Pinotti, “A Drone-Based Automated Halyomorpha Halys Scouting: A Case Study on Orchard Monitoring”. IEEE International Workshop on Metrology for
Agriculture and Forestry, MetroAgriFor 2023 – Proceedings, 2023, pp. 380–385

Francesco Betti Sorbelli, Lorenzo Palazzetti, Cristina M Pinotti, “Preliminary Results for Halyomorpha Halys Monitoring Relying on a Custom Dataset”. IEEE International Workshop on Metrology for Agriculture
and Forestry, MetroAgriFor 2023 – Proceedings, 2023, pp. 363–368

T. Zarymkanov, A. Kargar, C. Pinotti, B. O’Flynn, D. Zorbas, “Enhancing Machine Learning Training Performance in Smart Agriculture Datasets Using a Mobile App”, IEEE International Workshop on Metrology for Agriculture and Forestry, Pisa, Italy, Nov. 2023

2024

Giannetti, D., Patelli, N., Palazzetti, L., Betti Sorbelli, F., Pinotti, C.M. and Maistrello, L. (2024), “First use of unmanned aerial vehicles to monitor Halyomorpha halys and recognize it using artificial intelligence.” Pest Manag Sci. https://doi.org/10.1002/ps.8115

Francesco Betti Sorbelli, Alfredo Navarra, Lorenzo Palazzetti, Cristina M. Pinotti, Giuseppe Prencipe, “Wireless IoT sensors data collection reward maximization by leveraging multiple energy- and storage-constrained UAVs“, Journal of Computer and System Sciences, Volume 139, 2024, 103475, ISSN 0022-0000, https://doi.org/10.1016/j.jcss.2023.103475.

Francesco Betti Sorbelli, Federico Coró, Sajal K. Das, Lorenzo Palazzetti, and Cristina M. Pinotti. 2024. “Drone-Based Bug Detection in Orchards with Nets: A Novel Orienteering Approach.” ACM Trans. Sen. Netw. 20, 3, Article 68 (May 2024), 28 pages. https://doi.org/10.1145/3653713

A. Kargar, S. Tedesco, D. Zorbas, M. Gaffney, B. O’Flynn, “Y-Net: Insect Counting and Segmentation using Deep Learning on Embedded Devices”, IEEE International Instrumentation and Measurement Technology Conference, Glasgow, UK, May 2024

A. Kargar, D. Zorbas, S. Tedesco, M. Gaffney, B. O’Flynn, “Detecting Halyomorpha halys Using a Low-Power Edge-based Monitoring System”, Computers and Electronics in Agriculture, Vol. 221, 108935, June 2024