Agriculture drones provide farmers and agronomists with actionable data regarding crop health. Drones equipped with spraying equipment and near-infrared sensors will be the future of farming. Drones provide farmers with a greater visual inspection tool to monitor changes in crop health and livestock management. Interested in agriculture drones for scouting or mapping? Speak to our agriculture drone consultant.
Crop Inspection & Analysis
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 a greater visual overview farmers are able to have a greater perspective of the crop fields they are inspecting, thus leading to more efficient farming. This is largely impacted by new imaging technologies.
Imaging Technologies
The drone industry has taken visual inspection to the next level with the adaptation of near-infrared (NIR) sensors and multi-spectral sensors (RGB, RedEdge, & NIR) mounted on drones.
NIR sensors detect the spectrum of light that plants use to absorb light for photosynthesis. With multi-spectral sensors, the operator is able to gather even more detailed information on plant health. From this, using the normalized difference vegetation index (NDVI) ran through software, one is able to understand plant health based on the amount of light that is being reflected from the plants. Software analysis can be used to change values in order to reflect the specific crop type and even in which stage of life a specific crop is in.
What is NDVI?
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.
Crop Field Mapping
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 optimize 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.
Crop Spraying