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Let the power of data improve farm performance!

CAPIGI-22 will be your tour guide to the latest data science and data platforms developments, and successful data performances in agriculture. New technologies arise and new business models are developed. The digital age is infiltrating in agriculture at a rapid pace. This also comes with new pitfalls and challenges.

Our agriculture today has become a digital business where satellites, drones, IoT, robotics, GNSS and sensors deliver geo-spatial data that has become a core asset to farmers, advisors, suppliers, governments, and others in the agrifood domain. Data offers opportunities to monitor and benchmark farm performance on productivity, resource use efficiency, environmental and climate performance and other themes. The aim is to collect data once, and use it for many purposes, but is that as easy as it may seem? 

Join us to be part of the solution. Join CAPIGI-22 to share your ideas and experiences and get inspired by others. Join us to learn, share, discuss and meet. Participate in our workshops or get involved in the Hackathon.

Topics to be addressed:

  • Agro-ecological performance: as part of the new CAP, farm support is conditional to their performance in biodiversity, soil, water and climate. How can we measure this performance – and is this shared as public data?

  • Carbon Farming: rewarding farmers for mitigating climate change by storing atmospheric CO2 in their soils. This is a great contribution to society and a possible new business model for farmers. And it is adding and maintaining valuable organic material to the soil, which is also relevant for agricultural productivity. A win-win, isn’t it?

  • IACS data re-use: For administrating the CAP, a lot of farm data is collected in the so-called Integrated Administration and Control Systems (IACS). What data is relevant for other stakeholders? How can it be shared? And is IACS data more reliable than other sources?

  • Analysis Ready Data: users do no longer need to worry about preprocessing and techy peculiarities, as providers, for instance from satellite data, more and more deliver Analysis Ready Data. What can be learned from this development?

  • Data Platforms: Data platforms are digital market places, joining two fragmented groups: the farmers (users) and the developers of new tools and apps. How do data platforms organise the market place and do they truly solve the information asymmetry between these two target audiences?

  • “There’s an app for that!”: whatever your need, there is (almost) always an app that promises to solve your issues. Is this the way forward? How can we prevent an apps congestion?

  • Autonomous Machines: Agriculture 4.0 will unleash numerous digital technologies that potentially disrupt farming as we know it. Autonomy in robotics, drones and other machines is a main issue. What are the latest developments?

  • Do no (significant) harm: a major aspect of the new data and digital acts of the European Commission is that all this digitalisation should not harm farmers or the environment. It is a very relevant condition to all our data actions. Are we truthful to all parties? Is it benefitting all? Will it build goodwill?