Digital Farming: Enabling Farmers to Protect our Planet through Digital Solutions

What is Digital Farming?

  • Arable land can vary considerably, even within one and the same parcel of land, depending on the topography, soil type, water levels, and nutrients flowing to plants – all of which have repercussions for their biomass. Digital Farming will in the future be able to deliver hyper-local and field-specific information in order to spark quick and intelligent action on the field.
  • Digital Farming is the evolution of agriculture into a digitalized industry – local, data-driven insights can improve on-farm decision-making and execution, helping farmers to predict what is coming around the corner and to act upon it more effectively.
  • Decision-making will become sharper, smarter, and simpler - by combining the power of a farmer’s instinct with cutting-edge technologies such as: satellite imagery, variable application algorithms, high-tech sensors, mobile applications, or GPS a farmer can make best-informed choices.
  • Using Digital Farming technologies, farmers can optimize their business management – save time, lower costs, increase yields, and use the planet’s resources more efficiently and sustainably.
  • Digitalization can give farmers timely field-level information for: selecting the right varieties accurate fertilizer or crop protection dose rates, determining the ideal time for crop protection measures and recognizing plant stress factors at an early stage.
  • Digital technologies open up entirely new opportunities not only in industrialized nations but also bring highly specialized expertise to the world’s poorest countries.

What is the role of Bayer?

  • In its Digital Farming approach, Bayer aims to provide practice-relevant and usable decision making tools which can: make risk management of the farm a much easier task, and help to improve profitability in a sustainable manner. By identifying the perfect timing and quantity of each product application for each field, products can be personalized for every farmer.
  • Growth stage models and infrared images will be able to indicate areas of a field suffering stress factors – even before the human eye. This, and other integrated data will help create actionable recommendations to enable increased yields while also considering the environmental footprint.
  • Bayer prides itself on innovative and forward-looking technologies, no different when exploring the future of precision agriculture: Digital Farming. Together with research institutes and the agri-value chain research is being done in areas such as ecosystem and crop simulation and soil mapping.
  • The approach Bayer has chosen to take is one of collaboration. Bayer aims to focus on its core competencies – crop protection and seeds – and to partner with experts in fields such as climate modeling, soil mapping and farm machinery, to deliver its customer the best possible digital solution.
  • In the near future, real-time analysis will help farmers identify pests, diseases, and weeds down to the square meter. Currently, Bayer is beta testing hyper-localized decision support tools in order to optimize the application of our crop protection products, in a number of key markets around the world.

What are the key benefits of Bayer’s Digital Farming activities?

  • Greater outcome with less input: Per square meter farmers may be able to optimize crop protection use, while at the same time enhancing yield potentials with the same amount of water.
  • Logistical optimization: Farmers will be able to plan their job steps more accurately – logistical optimization and trip efficiency will result in less CO2 emissions as well as less soil compaction.
  • Simplifying documentation: Compliance with regulations and documentation of activities will be made simpler, more accurate, and more traceable.
  • Protecting the environment: Water bodies as well as non-target areas will be better protected through intelligent compliance with regulatory requirements within Digital Farming recommendations.
  • Increased knowledge through collaboration: Partnerships with research institutions are working towards great strides in ecosystem and crop simulation modeling as well as soil mapping.
  • Digital technology for risk mitigation: Predictability in agronomic activities can help manage volatility like: weather, soil quality, or pest pressure, at the same time reducing the risk of adverse environmental impacts.
  • Improved quality of crops: Modeling for diseases and precisely treating in advance. E.g. knowing exactly when and where to apply a fungicide will help reduce or eliminate mycotoxins, such as mold, from growing on harvested crops.