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The use of drones in the agricultural sector is growing at an incredible rate. Dronefly is here to keep you up to date with only the best, most cost-effective solutions on the market. Our UAV experts have years of experience and strive to make sure you get a drone solution that specifically fits your individual needs. We have worked with many agricultural experts and have grown an understanding of their use cases, operational budgets, and support needs.
We understand that deciding which commercial drone solution is right for your organization isn't as simple as just picking one from a hat. That's why we want to give you the tools to help you make an informed decision. Check out the videos and info below to learn more about our entire line of NDVI drone solutions, and if you still need some guidance, our experts are available to compare options M-F 7AM - 5PM PST
Micasense is a team of engineers, remote sensing scientists, GIS specialists, and friendly people passionate about agriculture. They strive to help agriculture professionals make informed decisions about their crops. Their team are experts at agriculture drone sensors and data analysis that work to develop solutions that make your life and work easier.
Sentera’s integrated software and sensor products deliver fast, accurate information that improves outcomes for growers. Their solutions integrate with virtually every digital agriculture platform, efficiently delivering critical measures of real-time crop performance directly into the tools that agriculture professionals already use.
The days of walking through fields to inspect crop yields are almost over. With the ability to have a live feed of what the drone's camera is seeing, a single operator is able to cover much more ground in much less time. With greater visual overview farmers are able to have a better perspective over the crop fields they are inspecting, thus leading to more efficient farming. This is largely impacted by new imaging technologies.
NDVI is a ratio of the amount of light energy absorbed and reflected by plants, this measures plant health. Calculated by: (NIR - RED ) / (NIR + RED). In general, NDVI values range from -1.0 to 1.0, with negative values indicating objects such as water, positive values near zero indicating bare soil, and higher positive values of NDVI ranging from sparse vegetation (0.1 - 0.5) to dense vegetation (0.6 and above). As a result, this technology serves as a warning tool for problem areas facing complications with fertilizer, irrigation, disease, or pests.
With the data gathered from the NDVI sensors. which includes GPS coordinates for each frame. one is able to make a comprehensive map of the crop field area. This allows farmers to better plan where crops are being planted to maximize land usage and crop variability. Better mapping also increases water efficiency and fertilizer usage. With better insights into the ideal place for crops, increased efficiency and reduced cost are expected.
Find more detailed information on our pages for the NDVI solutions by each camera.