According to experts, the drone is the most inexpensive method to detect problems in your crop at an early stage.Monitoring fields takes time and manpower. Drones can sweep through and take stock, inspecting for slow-growing plants that might need a hit of nitrogen or some other remedy. Sensors that measure particular wavelengths of light absorbed and reflected by plants can generate color contrast images that highlight problem areas in a field. Images generated from these data include NDVI (normalized difference vegetation index) maps, which have long been created using satellites and airplanes by calculating the ratio of the difference of near-infrared and visible light radiation.

Let us assist you with Africa’s largest network of Agricultural Drone Experts

Our Expert service and partnerships with the leading Agricultural specialist have produced outstanding results.

“With the data EasyUAV have gathered and Processed we could make 97% accurate yield prediction” –Hein van Der Merwe

“EasyUAV helped us detect a big issue in our crop and we could rectify it at an early stage, in short saving our entire crop.”

“Through continues monitoring of my crops EasyUAV have helped me save money on herbicides and pesticide and I had a 30% increase on my yield. A BUMPER crop compared to my Neighbors”


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Precision technology has driven the farming revolution in recent years. Monitoring crops from the sky using agricultural drones looks set to drive the next, as agronomists, agricultural engineers and farmers turn to drones to gain more efficient crop insights and to more accurately plan and manage their operations.

Our solution will provide data to:

  • Protecting crops from pests with exact doses and targeted applications of products;

  • Allowing for responsible product use with less exposure;

  • Efficiently using scarce agricultural area; and maximizing harvest results.

Ultimately allowing you to maximize yield and reduce costs.

Contact us to provide you with a comprehensive data acquisition plan for this planting season.






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