Data Science In Agriculture: How We Can Produce More Harvest

Data science and big data are increasingly finding their way into agriculture to create economic and ecological production conditions adapted to the market. Digital networking is therefore playing an increasingly important role.

environmental protection and serve to make work easier
  • Animal behavior can be selected and evaluated through new developments in sensor technology
  • Use Of Remote-Controlled Drones And Helicopters

    But digital progress in agriculture also has a downside. Experts assume that 42 percent of employees in Germany have a job that could be digitized or automated in around 20 years.

    For agricultural companies, the question arises as to whether digitization impacts farm structures or the farmer’s workplace.

    Conclusion

    Agriculture 4.0 in connection with data science offers great potential for companies and society and allows us to achieve economic, social, and ecological progress.

    Digitization is progress for agriculture if it preserves the entrepreneurial autonomy of farmers and strengthens and expands the role of agriculture at the heart of society.

    However, so that knowledge is not lost and the goals of digital agriculture can be achieved, monopolized access to the data must be prevented.

    To achieve this, researchers from the Leibniz Institutes are calling for public networking. Adequate nutrition can only be guaranteed if the knowledge gained is accessible to all parties.

    Also Read : Life-Saving Data From Satellite Imagery

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