On an intelligent system to plan agricultural operations
This paper focuses on the design and implementation of an intelligent system for planning operations of an agricultural robot. The aim of this intelligent system is to choose automatically the appropriate resources to execute certain agricultural operations, based on the user's preferences, as well as to define and schedule their sequence. The practical background is discussed, with descriptions of the solution space of agricultural applications and the way they can be restrained, through certain assumptions and decisions for minimizing the computing effort. The effectiveness of the intelligent system is demonstrated by comparing specific KPIs that have been calculated in the solution which would probably have been selected by a farmer and the solution proposed by the system, in different scenarios.
Authors
- Ard Nieuwenhuizen (ORCID: https://orcid.org/0000-0002-8525-8558)
- Sotiris Makris (ORCID: https://orcid.org/0000-0001-9687-5925)
- Panagiotis Karagiannis (ORCID: https://orcid.org/0000-0002-3305-8714)
- Panagiotis Stylianos Kotsaris
- George Michalos (ORCID: https://orcid.org/0000-0001-7720-2338)
- F.K. van Evert (ORCID: https://orcid.org/0000-0003-0302-668X)
- George Chryssolouris (ORCID: https://orcid.org/0000-0003-3958-9230)
- Panagiotis Vasilaros
- Spyros Fountas
- Vangelis Xanthakis
Institutions
- Agricultural University of Athens (GR)
- University of Patras (GR)
- Centre for BioSystems Genomics (NL)
- Wageningen University & Research (NL)
Publication Details
- Journal
- Smart Agricultural Technology
- Published
- 2024-12-11
- DOI
- https://doi.org/10.1016/j.atech.2024.100707
- Citations
- 7
- Primary Topic
- Advanced Scientific Research Methods
- Type
- article
- Field-Weighted Citation Impact
- 2.44
Funders
- European Commission
- Horizon 2020 Framework Programme