Exploring and integrating data from digital farm reporting, smart surveying, crowdsourcing and Sentinels
In the coming years, several new and non-traditional data collection approaches will evolve to become complementary to traditional sources of data. In this presentation we will highlight some of these developments and give examples relevant to the agricultural domain. We will focus on exploring and integrating data from digital farm reporting, smart surveying, crowdsourcing, and Sentinels.
In rural areas, digital agriculture will develop further and benefit from Copernicus Sentinels data streams, GNSS, rural digital networks, integration with information collected from farm management systems, machine sensors, and third-party collected information. New approaches to collect in-situ data complementary to the high spatial and temporal resolution of Copernicus Sentinel satellite observations are needed. For instance, increasingly open access to digital agricultural parcel registration systems and targeted smart ground-surveying can provide high quality and timely in-situ data for training and validation.
Non-traditional approaches such as active or opportunistic crowdsourcing have the potential to become sampling tools that are complementary to traditional approaches such as LUCAS. At the same time, citizen science approaches have been very successful in gathering relevant data, but also in raising wider public awareness, and inspiring successful participatory approaches to governance and decision making. Assessing the robustness and reliability of such non-traditional sources now is key. To provide useful datasets, citizen science and crowdsourcing activities require the implementation of unambiguous collection and quality assurance procedures.
Fostering knowledge exchange, innovation, and digitalization in rural areas is crucial to improve environmental and climatic performance of European farms. Digitalization can change farming for the better, by making better use of inputs, by deploying autonomous and precise machinery, and can even result in changes in the supply chain. Whereas reporting for CAP and greening requirements is often seen as a considerable burden to farmers, there is considerable, and largely under exploited, potential in deriving relevant indicators from digital farm management tools. The drive towards simplification in this context opens a window of opportunity for both farmers and authorities to consider novel ways of information exchange.
Reference:
STS03-003
Session:
Remote Sensing and GIS for agriculture statistics
Presenter/s:
Marijn van der Velde
Presentation type:
Oral presentation
Room:
MANS
Chair:
Marjo Kasanko, European Commission, Eurostat, E1, Finland, (Email)
Date:
Tuesday, 12 March
Time:
17:15 - 18:15
Session times:
17:15 - 18:15