Open Access
E3S Web Conf.
Volume 193, 2020
International Conference on Modern Trends in Manufacturing Technologies and Equipment (ICMTMTE 2020)
Article Number 01049
Number of page(s) 9
Section Agricultural Science
Published online 08 October 2020
  1. D. S. Paraforos, V. Vassiliadis, D. Kortenbruck, K. Stamkopoulos, V. Ziogas, A. A. Sapounas, H. W. Griepentrog, Multi-level automation of farm management information systems, Computers and Electronics in Agriculture, 142: 504–514 (2017). [Google Scholar]
  2. S. Wolfert, L. Ge, C. Verdouw, M.-J. Bogaardt, Big data in smart farming – areview. Agric. Syst. 153: 69–80 (2017). [Google Scholar]
  3. J. Kaivosoja, M. Jackenkroll, R. Linkolehto, M. Weis, R. Gerhards, Automaticcontrol of farming operations based on spatial web services, Comput. Electron. Agric. 100: 110-115 (2014). [Google Scholar]
  4. D.S. Paraforos, V. Vassiliadis, D. Kortenbruck, K. Stamkopoulos, V. Ziogas, A.A. Sapounas, H.W. Griepentrog, A farm management information system using future internet technologies, IFAC-PapersOnLine. 49: 324–329 (2016). [CrossRef] [Google Scholar]
  5. Y. Ampatzidis, L. Tan, R. Haley, M.D. Whiting Cloud-based harvest managementinformation system for hand-harvested specialty crops, Comput. Electron. Agric, 122: 161-167 (2016). [Google Scholar]
  6. S. Blank, C. Bartolein, A. Meyer, R. Ostermeier, O. Rostanin, IGreen: a ubiquitous dynamic network to enable manufacturer independent data exchange in futureprecision farming, Comput. Electron. Agric. 98: 109-116 (2013). [Google Scholar]
  7. S. Fountas, C.G. Sorensen, Z. Tsiropoulos, C. Cavalaris, V. Liakos, T. Gemtos, Farm machinery management information system, Comput. Electron. Agric. 110: 131–138 (2015). [Google Scholar]
  8. A. Kaloxylos, A. Groumas, V. Sarris, L. Katsikas, P. Magdalinos, E. Antoniou, Z. Politopoulou, S. Wolfert, C. Brewster, R. Eigenmann, C. Maestre Terol, Acloud-based farm management system: architecture and implementation, Comput.Electron. Agric. 100: 168–179 (2014). [CrossRef] [Google Scholar]

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