Abstract
The agricultural IoT infrastructure transformation is enabling crop producers to receive status information from interconnect farms, crops, crop/field, equipment, storage and livestock. Agricultural corporations down to small family farms are now able to monitor the entire plantation ecosystem, spanning from: crop field physical parameters (temperature, light, humidity, soil moisture etc.), plants phenotyping, crops vigour, local climatic conditions and control of operations such as its irrigation and fertilisation through automation solutions (greenhouses). The TERRATECH approach presented in this paper aims to develop an advanced interactive MSc course related to Agriculture IoT Engineering that will train individuals with the necessary skills and knowledge to work in the rising “Smart Agriculture” industry. The course is also formulated to stimulate transversal competences such as the increased sense of initiative and entrepreneurship.
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Acknowledgements
This project is a highly collaborative endeavour requiring intense contributions of a huge number of individuals. We regret that we cannot cite all their names here and want to express our thanks to them in this way. Some of them, however, gave particularly valuable input to the work programme published in this article without being cited as co-authors. Special thanks are therefore due to Anabela Cachada, Verónica Inês Nogueira, Tânia Caetano, Ettore Capri, Stefano Poni, Tito Caffi and Maura Calliera, Ali Abkar.
The TERRATECH project [29] is financially supported by the European Commission in the Erasmus+ Programme under the project number 21568-EPP-1-2020-1-PT-EPPKA2-KA. This publication reflects the views only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein.
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Katranas, G. et al. (2022). Empowerment for Digitalization Skills in Agriculture with the TERRATECH Education Approach. In: Yilmaz, M., Clarke, P., Messnarz, R., Wöran, B. (eds) Systems, Software and Services Process Improvement. EuroSPI 2022. Communications in Computer and Information Science, vol 1646. Springer, Cham. https://doi.org/10.1007/978-3-031-15559-8_17
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