Szymon Mueller, M. Plóciennik, Maciej Zacharczuk, Adam Fojud, Michal Blaszczak, Alicja Laskowska, Raúl Palma, M. Jakubowska, Andrzej Wojtowicz
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Leveraging IoT solutions as a base for development of the agriculture advisory services
Plant protection is one of the key factors determining the quality of agricultural production. In this paper, we present the results regarding the implementation and deployment of the Polish decision support system (DSS) for integrated plant protection, as part of the large scale national project called eDwin. At the core of the DSS is an IoT network of agro-meteorological stations deployed across the whole Poland. Additionally, the DSS leverages a set of automatic phenological observation stations that are deployed in selected experimental fields. After the deployment and validation of several pest prediction models, the DSS currently allows Polish farmers and advisors to access and use 20 models related to the main cultivations in Poland. Moreover, a digital platform for the farmers and advisors has been designed and developed, providing four e-services, complemented with interoperable mechanisms and APIs.