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.
Data in Digital Farming
Data is gaining an every greater importance in agriculture. Its advantages can unlock great potentials for farmers as well as enable new business models for the industry. Data policies, practices, and engagements with farmers should be carried out in an open and transparent manner and consistent with agreed upon terms. Bayer has developed a set of principles which we are committed to globally in regards to data use in digital farming.
To read more please download our Principles for the Use of Agricultural Data
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.