Agricultural surveillance and monitoring, where a UAV equipped with a multi-spectral sensor automatically produces high-accuracy georeferenced images that can be processed, with algorithms like NDVI, in order to provide near infrared (NIR) plant reflectance measurements. These measurements are a key indicator of the crop condition, and allow farmers to observe the health of their crops, identify weeds and pests, and predict yields.
This provides a powerful tool for maximizing the fields’ yield, while simultaneously minimizing costs and significantly reducing the time required for canvassing the crop in person.
Currently, the agricultural industry’s largest obstacle is the low efficiency in crop monitoring resulting from the massive scale of industrial farming, exacerbated by increasingly unstable weather conditions that intensify risk and maintenance costs. Drones allow real-time monitoring at a far more accurate and cost-effective level than previously used satellite imagery.