News ◦ 07—12—2020
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Report from the AgTech7 Deep-Dive Webinar co-organized by NEUROPUBLIC

News ◦ 07—12—2020

On Tuesday November 10, 2020, NEUROPUBLIC and the South-East European Research Centre (SEERC) co-organized an online webinar focusing on the application of new technologies in the agri-food sector and more specifically on agricultural technologies and neuroscience marketing techniques.

The event took place in the context of the AgTech7 project, which is co-funded by the Erasmus+ Programme of the EU, and was mainly addressed to university students, academics, researchers, agribusiness companies and other stakeholders.

AgTech7 webinar

The webinar aimed to give participants an understanding of the capabilities and the great potential of applying Internet of Things (IoT) and Earth Observation (EO) technologies in the agricultural sector as well as the trends of applying neuroscience marketing techniques in the agri-food sector accompanied with practical real life examples.

After a brief introduction about the AgTech7 project, the first presentation held by NEUROPUBLIC included an analysis of the aspects of IoT and EO and how they are practically used for increasing farm yield and reducing inputs such as fertilizers, pesticides and irrigation water in the context of an integrated smart farming approach.

The second presentation made by SEERC focused on neuroscience marketing techniques used for shifting diets and personalized branding. Following the presentations of the two modules’ structure, a case study took place demonstrating a real life example on using IoT and EO applications in Smart Farming, and more specifically in experimental plot of lands located in Poland and Cyprus. It is the Use Case 1.6 “Data-Driven Potato Production” (IoT4Potato), which is coordinated by NEUROPUBLIC.

The webinar concluded with a “Q&A” session between organizers and participants along with a round table discussion about emerging agri-tech issues that arose during the presentations. Feedback from the different point of view of participants is regarded useful and will be taken into consideration for developing and finalizing the modules’ structure.

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