The agriculture industry is transforming rapidly thanks to innovations allowing us to gather information at a speed and accuracy that was unthinkable before. Data sources and crop analysis opportunities thanks to deep learning and computer vision were developed rapidly in the last decade.
With the purpose of allowing farmers to catch up with the trends, we have prepared a user-friendly and simple platform so they can optimize their work based on data-driven decisions.
Let us introduce you to Cultiwise! World's first platform allowing you to react to the ever-changing situation in your fields just in time. Join the revolution in agriculture.
Because sometimes, less is more.
Satellite systems provide a historical series of periodic imagery, allowing us to analyze long-term changes in agricultural fields. Thus the resulting map of yield potential and production zones can then serve as a basis for variable rate application of fertilizers and further agrochemical interventions.
Drones can obtain faster and more detailed imagery than satellites for more timely assessment to provide immediate feedback to the farmer to take action. The higher spatial resolution does not just look better. Algorithms can segment for more accurate and sensitive results from drone data, where individual plants can be segmented for analysis. Cultiwise uses sophisticated computer vision, data science, and deep learning algorithms to effectively monitor fields and offers the solution for high precision aerial surveillance imagery to increase the efficiency of agronomical interventions and thus achieve sustainable agriculture.
Cooperation between SkyMaps and BARANIDESIGN is specialized in precise and reliable atmospheric measurements with connection to agriculture. Research & Development focuses on achieving long-term stability of temperature, humidity, and wind measurement for calculation infection risks and impacts. Sensors are designed for ease of use and interchangeability for on-site service.
The “brain” of Cultiwise uses AI models powered by machine learning and computer vision algorithms to detect weeds, diseases, and other crop issues. By grasping the possibilities of aerial imagery and spectroscopy Cultiwise prepares a prescription map, according to which the sprayer carries out the application using the optimum amount of pesticides or fertilizers. This is saving money for the farmers and helps our environment too!
Sugar beet
Cirsium arvense
Generate a map that will show you the zones you need to focus on. And use pesticides or fertilizers only where it’s needed and exactly how much is needed. The application map is generated directly for your type of machinery.
Yield potential and production zone maps
Identification of weeds for targeted application of glyphosate.
Identification of weeds for targeted application of selective herbicides.
Coverage mapping to optimize management decisions.
Monitoring of crop biomass and health conditions in order to optimize management decisions.
Reduce input costs in areas of low productivity and increase yields in areas of high productivity.
Cultiwise was implemented on several sites on a demo farm to verify the potential gains. With more efficient, variable application of pesticides we reached 28% - 71% savings, achieving same treatment efficacy than with conventional homogeneous spraying. This is a significant difference when taking into account the environmental and economic aspects.
Applied products: herbicides, fungicides, piant growth regulators
No. of fields:
12No. of applications:
16Area sprayed:
514 hectaresTotal costs would be without Cultiwise
14.603 €Total savings:
7 065 €
4600 hectares
Potential savings per season (in case of 5 applications)
241 500 €