Generally, Parrot has stopped producing drones for the general public consumer anymore. When you pull up their website you see the ANAFI AI and the ANAFI USA drones being marketed. You also see that Parrot identifies their company mission with building professional drones that focus on the needs for industries in: Inspection, first responders, firefighters,
The Parrot ANAFI USA drone has a double optical 4K EO camera. It has zoom in capabilities from wide angle to telephoto (32X). It can detect thermal data with high precision (within centimeters) from an altitude as high as 131ft. It is equipped with a FLIR Boson 320. The thermal camera has two thermal color
The DJI Phantom 4 RTK is a quadcopter that has a built-in RTK feature and a 20-megapixel camera so it is capable of performing high precision mapping and surveying projects and delivering high resolution images. It has a decent flight time for a single mission (up to 30 min). 16,404 ft (5,000 meters) is the
Drofika is an AI-powered fog computing platform that has pre-built, customizable application conditions. It is able to work with existing infrastructure as well. A fog computing platform allows for scalability for your computing projects and provides resource virtualization that lets you perform real-time and non real-time computing. Learn More (Last Edit 19 Feb 2023, Kellee)
The term, fog computing, was originated by Cisco. It is used to indicate the edge of an enterprise’s network. Fog computing has also been labeled as Fogging or Edge Computing. The concept is intended to describe the computing nodes available between a host device and the cloud. Therefore, it is considered to be a decentralized
The soil line, in reference to remote sensing analyses, is a plot line of digital number values that typically fall 45° along this line. These values represent red light wavelengths against very-near infrared light (NIR) wavelengths. Generally, soil values fall close to the plot line and vegetation fall away from it. Thus, the vegetation plotting
Soil Adjusted Vegetation Index is sort of a hybrid between ratio-based indices and perpendicular indices. This index recognizes that the isovegetation lines do not run along side one another nor do they necessarily converge to a single point. It is a way to correct for the impact of soil line disparities on two-band vegetation indices
The NDRE (Normalized Difference Red Edge Index) is used to measure the light waves (approximately the 715 nm range of the spectrum) that are collected from multispectral image sensors. The images are processed and analyzed to determine how healthy the target crop and field is. It is very similar to the NDVI vegetation index it
ENDVI uses blue and green visible light instead of solely using red light. This index singles out plant health indicators better because it shows how the plant’s surface absorbs the blue light in contrast to the reflected green light and the NIR light, thus it generates a more reliable sign of the crop’s health. The
GRVI is another one of the vegetation indices that uses information from visible light range of the spectrum to determine the phenology present in a crop field. This index is calculated from the green and red light reflectance. The method involves a time series of GRVI readings to show the timing of greening-up to autumn-coloring.