WHY DRONES?

The use of drones in agriculture is a relatively new concept.  Remote sensing has traditionally been used with manned aircraft or satellite imagery.  Although the use of manned aircraft and satellite imagery are useful for gathering data over large swaths of land there are numerous limitations.  Manned aircraft and satellites are useless when there are low laying cloud cover whereas drones can fly a matter of feet above the ground or canopy.  Drones are able to get low enough over targeted areas to acquire data up to 3-cintemeters in accuracy whereas manned aircraft and satellites are unable to get as accurate due to altitude and speed at which they are travelling.  The window to capture satellite imagery has been been a classic issue countless users have faced over the years. 


Drones are continuously evolving and becoming more efficient at an unprecedented pace.  Third data processing companies are perfecting the art of stitching numerous images together to create one orthomosaic image of an entire area captured with drones.  It is extremely difficult to complete this process with manned aircraft as they fly at a higher altitude, aren't able to get as detailed imagery, limited to low clouds and are more expensive to contract.  Highroglyph uses high-tech sensors and cameras, attached to drones, to gather data and locate any defects.  The health of the plants are measured by the amount of light reflectance.  Pest infestations, soil bacteria, over irrigation, under irrigation, plant bacteria, rot and other issues affect the plants health.  Once the health of a plant has been compromised it will respond by giving off a weaker reflectance value seen with our multispectral sensors attached to the drone.  Catching such issues quickly is key to measuring the health of crops on routine basis, apply inputs where and where needed, keep plant diseases and pest infestations from spreading and also decipher where over irrigation or under irrigation is taking place.



NDVI is a simple metric which indicates the health of vegetation. When near infrared hits the leaf of a healthy plant it is reflected back into the atmosphere. As the amount of chlorophyll produced in a plant decreases less near infrared is reflected. This can be used to see the overall health of a crop. The NDVI algorithm compares the reflected intensities of near infrared (NIR) and visible light.