Abstract
Agricultural and food research are increasingly becoming fields where data acquisition, processing, and analytics play a major role in the provision and application of novel methods in the general context of agri-food practices. The chapter focuses on the presentation of an innovative, holistic e-infrastructure solution that aims to enable researches for distinct but interconnected domains to share data, algorithms and results in a scalable and efficient fashion. It furthermore discusses on the potentially significant impact that such infrastructures can have on agriculture and food management and policy making, by applying the proposed solution in variegating agri-food related domains.
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Acknowledgements
The work presented in this chapter has been partly supported by the AGINFRAPLUS Project that is funded by the European Commission’s Horizon 2020 research and innovation programme under grant agreement No 731001
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Karampiperis, P. et al. (2019). Big Data in Agricultural and Food Research: Challenges and Opportunities of an Integrated Big Data E-infrastructure. In: Emrouznejad, A., Charles, V. (eds) Big Data for the Greater Good. Studies in Big Data, vol 42. Springer, Cham. https://doi.org/10.1007/978-3-319-93061-9_6
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