Journal Papers

  • Pristouris K, Nakos H, Stavrakas Y, Kotsopoulos KI, Alexandridis T, Barda MS, Ferentinos KP. 2021. An integrated system for urban parks touring and management. Urban Science, vol. 5(4), 91.

  • Ferentinos, K.P., Y. Stavrakas, H. Nakos, K. Pristouris, M.S. Barda. 2020. Initial design and features of an augmented reality system for urban park touring and management. International Journal of Computer Theory and Engineering, vol. 12(5), pp. 106-112.

  • Cass, A., G.P. Petropoulos, K.P. Ferentinos, A. Pavlides, P.K. Srivastava. 2019. Exploring the synergy between Landsat and ASAR towards thematic mapping accuracy of optical EO data. Applied Geomatics, vol. 11(3), pp. 277-288.
  • Amos, C., G.P. Petropoulos, K.P. Ferentinos. 2019. Determining the use of Sentinel-2A MSI for wildfire burning and severity detection. International Journal of Remote Sensing, vol. 40(3), pp. 905-930.

  • Brown, A.R., G.P. Petropoulos, K.P. Ferentinos. 2018. Appraisal of the Sentinel-1 & 2 use in a large-scale wildfire assessment: A case study from Portugal’s fires of 2017. Applied Geography, vol. 100, pp. 78-89.

  • Petropoulos, G.P., P.K. Srivastava, K.P. Ferentinos, D. Hristopoulos. 2020. Evaluating the capabilities of optical/TIR imaging sensing systems for quantifying soil water content. Geocarto International, vol. 35(5), pp. 494-511.

  • Colson, D., Petropoulos, G.P., Ferentinos, K.P. 2018. Exploring the potential of Sentinels-1 & 2 of the Copernicus mission in support of rapid and cost-effective wildfire assessment. International Journal of Applied Earth Observations and Geoinformation, vol. 73, pp. 262-276.

  • Whyte, A., Ferentinos, K.P., Petropoulos, G.P. 2018. A new synergistic approach for monitoring wetlands using Sentinels -1 and 2 data with object-based machine learning algorithms. Environmental Modelling and Software, vol. 104, pp. 40-54.

  • Ferentinos, K.P. 2018. Deep learning models for plant disease detection and diagnosis. Computers and Electronics in Agriculture, vol. 145, pp. 311-318.

  • Elvanidi, A., Katsoulas, N., Ferentinos, K.P., Bartzanas, T., Kittas, C. 2018. Hyperspectral machine vision as a tool for water stress severity assessment in soilless tomato crop. Biosystems Engineering, vol. 165, pp. 25-35.

  • Li, L., Li, J., Wang, H., Georgieva, T., Ferentinos, K.P., Arvanitis, K.G., Sigrimis, N.A. 2018 Sustainable energy management of solar greenhouses using open weather data on MACQU platform. International Journal of Agricultural & Biological Engineering, vol. 11(1), pp. 74-82.

  • Li, J., Li, L., Wang, H., Ferentinos, K.P., Li, M., Sigrimis, N. 2017. Proactive energy management of solar greenhouses with risk assessment to enhance smart specialisation in China. Biosystems Engineering, vol. 158, pp. 10-22.

  • ​Markou, G., Iconomou, D., Muylaert, K., 2016. Applying raw poultry litter leachate for the cultivation of Arthrospira platensis and Chlorella vulgaris. Algal Research, vol. 13, pp. 79-84.

  • Markou, G., 2015. Improved anaerobic digestion performance and biogas production from poultry litter after lowering its nitrogen content. Bioresource technology, vol. 196, pp. 726-730.

  • Markou, G., Iconomou, D., Sotiroudis, T., Israilides, C., Muylaert, K., 2015. Exploration of using stripped ammonia and ash from poultry litter for the cultivation of the cyanobacterium Arthrospira platensis and the green microalga Chlorella vulgaris. Bioresource technology, vol. 196, pp. 459-468.

  • Markou, G., 2015. Fed-batch cultivation of Arthrospira and Chlorella in ammonia-rich wastewater: optimization of nutrient removal and biomass production. Bioresource technology, vol. 193, pp. 35-41.

International Conference Papers

  • Ferentinos, K.P., and M.S. Barda. 2021. A deep learning plants identification model for augmented reality touring in urban parks. 5th International Conference of the International Commission of Agricultural and Biosystems Engineering (CIGR), May 11-14, Québec City, Canada.

  • Ferentinos, K.P., Y. Stavrakas, H. Nakos, K. Pristouris, M.S. Barda. 2019. Initial design and features of an augmented reality system for urban park touring and management. 12th International Conference on Computer Science and Information Technology (ICCSIT 2019), Dec. 18-20, Barcelona, Spain.

  • Ferentinos, K.P., M. Barda, D. Damer. 2019. An image-based deep learning model for cannabis diseases, nutrient deficiencies and pests identification. In: Moura Oliveira P., Novais P., Reis L. (eds) Progress in Artificial Intelligence. EPIA 2019. Lecture Notes in Computer Science, vol. 11804, Springer.
  • Balafoutis A., G. Bourodimos, E. Anastasiou, S. Fountas, 2016. Inspections of in-use pesticide application equipment in Greece. 6th European Workshop on Standardised Procedure for the Inspection of Sprayers in Europe (SPISE 6), September 13-15, Barcelona, Spain. 

  • Bourodimos G., T. Gemtos, G. Kladis, S. Fountas, D. Aidonis. 2015. Analyzing the inspection process and results of in use field crop sprayers in Greece. 3rd Olympus International Conference on Supply Chains, November 7-8, Athens, Greece.

  • Katsoulas, N., K.P. Ferentinos, A. Tzounis, T. Bartzanas, C. Kittas. 2015. Spatially distributed greenhouse climate control based on wireless sensor network measurements. Acta Horticulturae, in press. 5th Symposium on Applications of Modelling as an Innovative Technology in the Horticultural Supply Chain (Model-IT), October 11-14, Wageningen, The Netherlands.

  • Katsoulas, N., K.P. Ferentinos, A. Tzounis, T. Bartzanas, C. Kittas. 2015. Operation reliability of wireless sensor networks in greenhouse conditions. Acta Horticulturae, in press. International Symposium on New Technologies and Management in Greenhouses (GreenSys 2015), July 19-23, Evora, Portugal.

  • Ferentinos, K.P., N. Katsoulas, A. Tzounis, C. Kittas, T. Bartzanas. 2015. A climate control methodology based on wireless sensor networks in greenhouses. Acta Horticulturae, vol. 1107, pp. 75-82. (29th International Horticultural Congress (IHC2014), August 17-22, 2014, Brisbane, Australia).

  • Ferentinos, K.P., C.P. Yialouris, P. Blouchos, G. Moschopoulou, V. Tsourou, K. Kintzios. 2012. The use of artificial neural networks as a component of a cell-based biosensor device for the detection of pesticides. Procedia Engineering (Proceedings Eurosensors XXVI), vol. 47, pp. 989-992.

  • Ferentinos, K.P., N. Trigoni, S. Nittel. 2008. Impact of drifter deployment on the quality of ocean sensing. Advances in Geosensor Networks, Lecture Notes in Computer Science, vol. 4540, pp. 9-24, Springer.

Book Chapters

Piromalis, D., K.G. Arvanitis, P. Papageorgas, K.P. Ferentinos. 2017. Smart precision lighting for urban and landscape closed controlled horticultural environments. Chapter 6 in: “Urban Horticulture”, Dilip Nandwani (ed.), Springer, Switzerland.

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