ProvEye provides advanced processing software to derive quantitative data from images collected by drones and other platforms, which can be used to make informed actionable decisions on the farm.
The use of drones and other remote sensing tools in agriculture has seen significant growth in recent years. However there is a problem, a barrier that is stopping their widespread adoption; and that is poor data quality and consistency. Drones have the potential to give quantitative assessment of key decisions and attributes on the farm; for example when and where to spray for pests and diseases, how much yield am I going to get, how much fertilizer do I need to apply and can I demonstrate that I’m adhering to legislation. ProvEye will remove the barriers associated with poor data and consistency with advanced image processing software which was originally developed in-house for satellites, but now has been adapted for drones.
The ProEye solution will allow for the full potential of optical data to be realised through quantitative products that can be directly integrated into precision agriculture decision support systems that will look to either increase yields or reduce input costs.
Sensor and platform agnostic
Advanced image processing IP that is first to market
Enabling optimised decision making for agriculture
The ProvEye team have a long and established history in the development of precision agriculture, remote sensing and digital agriculture solutions, which has allowed the team to develop products that have a clear and functional benefit to the agricultural industry on the ground.
Dr Jerome O’Connell – Managing Director – Founder
Jerome has 12 years’ experience developing image processing methods for remote sensing. He has worked with a host of commercial institutes and organizations including; NASA, World Bank, University of New York, University of Leeds, STFC, COST and Gorta SHA.
Prof Nick Holden – Executive Director – Founder
Nick has 30 years of experience in research and innovation for agriculture and natural resources, and has developed a range of remote sensing, mechanistic and agro-meteorological tools. He manages a team of 23 specialists, with €6.5 million of funding personally managed from > €60 million of grants won competitively.