Dissemination Material



  • – Campos, E.M., Saura, P.F., Gonzales-Vidal, A., Herandez-Ramos, J., Bernabe, J.B., Baldini, G., Skarmeta, A. (2021), “Evaluating Federated Learning for Intrusion Detection in Internet of Things: Review and Challenges”, https://arxiv.org/abs/2108.00974
  • – Charvat K., Bergheim R., Bērziņš R., Zadražil F., Langovskis D., Vrobel J., Horakova S. (2021), “Map Whiteboard Cloud Solution for Collaborative Editing of Geographic Information”. Cloud Computing and Data Science 2(2):36-5. Available from: https://ojs.wiserpub.com/index.php/CCDS/article/view/897 
  • – da Silva, D.Q., Aguiar, A.S., dos Santos, F.N., Sousa, A.J., Rabino, D.,  Biddoccu, M., Bagagiolo, G., and Delmastro, M. (2021), ” Measuring Canopy Geometric Structure Using Optical Sensors Mounted on Terrestrial Vehicles: A Case Study in Vineyards”. Agriculture 202111, 208. https://doi.org/10.3390/agriculture11030208
  • – Azpiroz, I., Oses, N,  Quartulli, M., Olaizola, I.G., Guidotti, D., and Marchi, S (2021) “Comparison of Climate Reanalysis and Remote-Sensing Data for Predicting Olive Phenology through Machine-Learning Methods”. Remote Sensors13, 1224. https://doi.org/10.3390/rs1306122
  • – López-Morales, J.A., Martínez J.A. and Skarmeta A.F. (2021), “ Improving Energy Efficiency of Irrigation Wells by Using an IoT-Based Platform”. Electronics, 10(3), 250. https://doi.org/10.3390/electronics10030250 
  • – Alcaniz, T., Gonzalez-Vidal, A., Ramallo, A. and Skarmeta, A. (2021), “Quality of Information within Internet of Things Data” Available from DOI: 10.5772/intechopen.95844 
  • – Bordel, B.  Alcarria R. and Robles T. “Controlling Supervised Industry 4.0 Processes through Logic Rules and Tensor Deformation Functions,” (2021) Informatica, 1-29. doi:10.15388/20-INFOR441
  • – González-Vidal, A.,  Rathore, P., Rao, A.S., Mendoza-Bernal, J., Palaniswami, M. and Skarmeta-Gómez., A.F. (2021), “Missing Data Imputation with Bayesian Maximum Entropy for Internet of Things Applications,” in IEEE Internet of Things Journal, doi: 10.1109/JIOT.2020.2987979
  • – Oses,N.,  Azpiroz, I., Marchi, S., Guidotti, D., Quartulli, M. and Olaizol, I.G. (2020), “Analysis of Copernicus’ ERA5 Climate Reanalysis Data as a Replacement for Weather Station Temperature Measurements in Machine Learning Models for Olive Phenology Phase Prediction, “ Sensors 2020, 20, 6381. https://doi.org/10.3390/s20216381
  • – López-Morales, J.A., Martínez, J.A., and Skarmeta, A.F. (2020), “Digital Transformation of Agriculture through the Use of an Interoperable Platform” Sensors 202020, 1153. https://doi.org/10.3390/s20041153
  • – Jallal, M., Gonzalez-Vidal, A., Skarmeta, A.F, Chabaa, S. and Zeroual, A. (2020) , “A hybrid neuro-fuzzy inference system-based algorithm for time series forecasting applied to energy consumption prediction” Applied Energy, 268, 10.1016/j.apenergy.2020.114977
  • González-Vidal, A., Alcaniz, T., Iggena, T., Bin Ilyas, E. and Skarmeta, A.F. “Domain Agnostic Quality of Information Metrics in IoT-Based Smart Environments”, Intelligent Environments 2020, doi:10.3233/AISE200059 pdf
  • – Bordel, B., Alcarria, R and Robles T. “Supervising Industrial Distributed Processes Through Soft Models, Deformation Metrics and Temporal Logic Rules”. In: Rocha Á., Adeli H., Reis L., Costanzo S., Orovic I., Moreira F. (eds) Trends and Innovations in Information Systems and Technologies. WorldCIST 2020. Advances in Intelligent Systems and Computing, vol 1160. Springer, Cham. https://doi.org/10.1007/978-3-030-45691-7_12


  • – Bordel, B., Alcarria, R., Robles, T., de la Torre, G. and Carretero, I. (2021) ‘Digital user-industry interactions and Industry 4.0 services to improve customers’ experience and satisfaction in the European bakery sector’, 2021 16th Iberian Conference on Information Systems and Technologies (CISTI), 23 – 26 June 2021, Chaves, Portugal, doi: 10.23919/CISTI52073.2021.9476568
  • – M. Płóciennik et al., “Leveraging Agri-food IoT Solutions to Connect Apiary Owners and Farmers,” 2021 16th International Conference on Telecommunications (ConTEL), 2021, pp. 152-157, doi: 10.23919/ConTEL52528.2021.9495980.
  • – Bader, S., Pullmann, J., Mader, C., Tramp, S., Quix, C., Muller, A., Akyurek, H., Bockmann, M., Imbusch, B., Lipp, J.,Geilser, S. and Lange, C. (2020), “The International Data Spaces Information Model – An Ontology for Sovereign Exchange of Digital Content”, International Semantic Web Conference 2020, pp 176-192. DOI:10.1007/978-3-030-62466-8_12
  • – Bordel, B., Alcarria, R. and Robles, T. (2020) “Supervising Industrial Distributed Processes Through Soft Models, Deformation Metrics and Temporal Logic Rules”, WorldCIST 2020: Trends and Innovations in Information Systems and Technologies, June 2020, https://doi.org/10.1007/978-3-030-45691-7_12
  • – R. Arias Calderon, S. Arias Calderon, P. Martins, A. Cordeiro, J.M Silvestre (2020), “Validation of a fluorometer sensor for characterization of olive varieties and evaluation of fruit ripeness index with non-destructive measurement: preliminary results. A: II Simposio Ibérico de Ingeniería Hortícola: Agricultura 4.0: Ponte de Lima, Portugal: 4- 6 de marzo, 2020, p. 489-493.
  • – JA. Lopez-Morales, A. F. Skarmeta and J. A. Martinez, “Agri-food Research Centres as Drivers of Digital Transformation for Smart Agriculture,” 2020 Global Internet of Things Summit (GIoTS), Dublin, Ireland, 2020, pp. 1-5, doi: 10.1109/GIOTS49054.2020.9119646.
  • – N. Oses, I. Azpiroz, M. Quartulli, I. Olaizola, S. Marchi and D. Guidotti, “Machine Learning for olive phenology prediction and base temperature optimisation,” 2020 Global Internet of Things Summit (GIoTS), Dublin, Ireland, 2020, pp. 1-6, doi: 10.1109/GIOTS49054.2020.9119611.
  • – I. Roussaki, P. Kosmides, G. Routis, K. Doolin, V. Pevtschin and A. Marguglio, “A Multi-Actor Approach to promote the employment of IoT in Agriculture,” 2019 Global IoT Summit (GIoTS), Aarhus, Denmark, 2019, pp. 1-6, doi: 10.1109/GIOTS.2019.8766416.

White Papers

White Paper - Tech Integration (1)

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DEMETER White paper on
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Design Principles

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April 2021

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