Jensen, D. B., Larsen, M. L. V., & Pedersen, L. J. (2019)
Comparison of architectures and training strategies for convolutional neural networks intended for location-specific counting of slaughter pigs.

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9th European Conference on Precision Livestock Farming

Konstantinos Perakis, Fenareti Lampathaki, Konstantinos Nikas, Yiannis Georgiou, Oskar Marko, Jarissa Maselyne. (2020) 

CYBELE – Fostering precision agriculture & livestock farming through secure access to large-scale HPC enabled virtual industrial experimentation environments fostering scalable big data analytics. 

Computer Networks, Volume 168, 2020, 107035.

Samson Damilola Fabiyi, Hai Vu, Christos Tachtatzis, Paul Murray, David Harle, Trung Kien Dao, Ivan Andonovic,  Jinchang Ren, Stephen Marshall. (2020)

Varietal Classification of Rice Seeds Using RGB and Hyperspectral Images.  

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IEEE Access, vol. 8, pp. 22493-22505, 2020, doi: 10.1109/ACCESS.2020.2969847

Spiros Mouzakitis, Giannis Tsapelas, Sotiris Pelekis, Simos Ntanopoulos, Dimitris Askounis, Sjoukje Osinga, Ioannis N.Athanasiadis (2020)

Investigation of common big data analytics and decision-making requirements across diverse precision agriculture and livestock farming use cases.

Proceedings of 13th International Symposium on Environmental Software Systems, February 5-7, 2020,  Wageningen, The Netherlands.

Jarissa Maselyne, Dan Jensen, Klaas SysHans Polet,

Marijke Aluwé, Ruben Van De Vijver, Ronald Klont,
Martijn Bouwknegt, Konstantinos Bovolis (2019).

High Performance Computing developments for precision pig farming, open sea fishing and aquaculture.

Book of Abstracts of the 70th Annual Meeting of the European Federation of Animal Science, August 26-30, 2019, Ghent, Belgium. 

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Eugene Frimpong, Antonis Michalas. (2020)

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IoT-CryptoDiet: Implementing a Lightweight Cryptographic Library based on ECDH and ECDSA for the Development of Secure and Privacy-Preserving Protocols in Contiki-NG.

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Proceedings of IoTBDS 2020. 

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Yiannis Georgiou, Naweiluo Zhou, Li Zhong, Dennis Hoppe, Marcin Pospieszny, Nikela Papadopoulou, Kostis Nikas, Orestis Lagkas Nikolos, Pavlos Kranas, Sophia Karagiorgou, Eric Pascolo, Michael Mercier and Pedro Velho

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Converging HPC, Big Data and Cloud technologies for precision agriculture data analytics on supercomputers.

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Proceedings of VHPC - ISC 2020, 25 June , Frankfurt, Germany. 

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Dimitris Zeginis, Evangelos Kalampokis, Konstantinos Tarabanis (2019)

 Statistical Challenges Towards a Semantic Model for Precision Agriculture and Precision Livestock Farming

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 7th International Workshop on Semantic Statistics (SemStats2019) co-located with the 18th International Semantic Web Conference (ISWC2019), CEUR-WS, Vol-2549.  

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Zhou, N., Georgiou, Y., Zhong, L., Zhou, H., and Pospieszny, M.

 Container Orchestration on HPC Systems.

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 In 2020 IEEE International Conference on Cloud Computing (CLOUD) (2020),18-24 October, Beijing, China. 

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Dilli Paudel, Hendrik Boogaard, Allard de Wit, Sander Janssen, Sjoukje Osinga, ChristosPylianidis, Ioannis N.Athanasiadis 

Machine learning for large-scale crop yield forecasting

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Agricultural Systems, Volume 187, February 2021, 103016

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Osinga, S. A., Mouzakitis, S., Ntanopoulos, S., Tsapelas, G., Askounis, D., Paudel, D. R., & Athanasiadis, I. N. (2020).

Big data applications in agriculture: between opportunity and solution.

Abstract from International Environmental Modelling and Software Society (iEMSs 2020), 14 – 18 September 2020.

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Perakis K., Lampathaki F., Nikas K., Georgiou Y., Marko O., Maselyne J. (2020).

CYBELE – Fostering precision agriculture & livestock farming through secure access to large-scale HPC enabled virtual industrial experimentation environments fostering scalable big data analytics.

Computer Networks, Vol. 168, 107035.

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D. Schokker, I.N. Athanasiadis, B. Visser, R.F. Veerkamp, C. Kamphuis. (2020).

Storing, combining and analysing turkey experimental data in the Big Data era

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Animal, Vol. 14, Issue 11, pp. 2397-2403, ISSN 1751-7311

Zhou, N., Georgiou, Y., Pospieszny, M. et al. Container orchestration on HPC systems through Kubernetes. J Cloud Comp 10, 16 (2021).

Containerisation demonstrates its efficiency in application deployment in Cloud Computing.

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https://doi.org/10.1186/s13677-021-00231-z

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Hakansson, F., Jensen, D. B. (2021). Exploring temporal data analysis: 
Video-based classification of damaging behaviour in pigs using a combination of CNN and RNN, Proceedings of the Precision Livestock Farming Workshop Seminar, 13-14 April 2021, KU Leuven, Belgium.
 

Dan Børge Jensen, Lene Juul Pedersen (2021).
Automatic counting and positioning of slaughter pigs within the pen using a convolutional neural network and video images, Computers and Electronics in Agriculture, Volume 188, 106296, ISSN 0168-1699

F.K. van Evert, H.N.C. Berghuijs, I.E. Hoving R, A.J.W. de Wit, T.H. Been (2021)
A digital twin for arable and dairy farming, Precision agriculture ’21

Sjoukje A. Osinga, Dilli Paudel, Spiros A. Mouzakitis, Ioannis N. Athanasiadis (2022)  
Big data in agriculture: Between opportunity and solution, Agricultural Systems.

van der Voort, M., Jensen, D., Kamphuis, C., Athanasiadis, I.N., De Vries, A., Hogeveen, H. (2021).  
Invited review: Toward a common language in data-driven mastitis detection research, Journal of Dairy Science

Marko Ο., Panić Μ., Grbović Ž, Antić Α., Pejak Β., Crnojević V. (2021).
Digital Services for Farmers based on Sentinel-2 Satelllite Images and Advanced Machine Learning. IBSC – International Bioscience Conference and the 8th International PSU – UNS Bioscience Conference (IBSC), Novi Sad,

online. https://doi.org/10.5281/zenodo.5772079