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Summary Masterfarming

“Virtual Decision-making“ as a Management Model to increase Efficiency and Sustainability of Crop Farming:

Sustainability of Crop Farming:
Why an integrated IT-based system is able to generate both economically and ecologically better decisions than a human farm manager

Based on current state-of-the-art Precision Farming and agricultural Management Information Systems and applications, this thesis aims to develop a tool which enables user-centric decisions via an easy-to-use smart interface.

The tool takes into consideration that

• On the one hand relevant data for crop production, from sowing to harvesting, are available: either as on-farm documentation or as „big data“ information in the internet and
• On the other hand this huge amount of data makes it impossible for the human brain to consider all options to generate a decision free of fault.

The tool generates an added value

• By connecting all available relevant data
• By deriving optimized decisions, customized for the individual farm
• By providing the results pro-actively on a single and easy-to-use interface.

This big data-based “Master Farming“ tool will have the following effects:

• Optimized allocation of resources
• Less cost and better results for the farmers
• Improved environmental protection
• Targeted fertilization and spraying: less risk of incorrect fertilization or spraying
• Better image for the farming business through transparency.

These effects would be most obvious if the tool was implemented as an independent, mandatory Management and Auditing System, for example as part of the EU Cross Compliance Guidelines; but other business models are conceivable, too.