Drones are a revolution in surveillance & reconnaissance and warfare but in reality, drones are much more than that. Drone analytics has enabled drones to be useful for nearly all the industries like urban planning and agriculture. Drone analytics offer a bird’s eye view of anything. It has opened a wide variety of prospects for several researchers and has furthered the range of data analytics and data science.
There is an increasing fascination and inclination toward drones by people from various specs of life, and that is the reason, there is an increased demand for the same. The total value of drone sales will reach about $45,576 million by 2030
What is Drone Analytics?
The basic application of a drone is to hover over a zone that is needed to be surveyed and collect the required data and info. Drone analytics software is essential for enabling the drone hardware to collect the required data. The process of analytics, hence, includes creating 2D and 3D visualizations of the site and tracking the flight.
Top Areas Where Drone analytics is Most Used
Agriculture: Drone analytics these days play a vital role in agriculture, mainly to map and plot agricultural areas. Drone analytics can also be used to evaluate the quality of soil in a specific area, and also helps in planning an irrigation mechanism by mapping a river, near to an agricultural field.
If there is a case of crop failures, such technology can be used in case of crop failures, this technology can be used to evaluate the level of the failure to compensate the farmers.
Mining: Mining companies use such technology to check the total volume of minerals underground. The depth and nature of the mines can accordingly be marked out to reduce the danger and to provide maximum output from mines. Oil and petroleum corporations can measure the level of crude oil available under the sea, or land, before establishing an oil field in that area.
Disaster Management: Drone analytics can be very useful in the field of remote sensing of natural hazards. With the help of drone analytics, disaster management authorities can evaluate the region which is hit by a certain natural disaster. This will support them in reaching to a conclusion that which area should be provided with relief first.
Military: The drone analytics initially was made for military purpose only. From finding terrorist camps or enemy bases to hitting the targets, drone analytics has grown from strength to strength. Predator drones are one the example of drones used in military warfare.
Future of Drone Analytics
These days the word ‘future’ is synonymous with AI. drone analytics systems powered with artificial intelligence are being positioned in various operations. Ongoing research and development in agricultural usage of drone analytics, to develop AI-powered low-flying drones, that will help in measuring the soil fertility, and also recommend the addition of certain fertilizers, to increase the soil’s fertility.
Therefore, with the increasing usage of drone analytics in military, disaster management, agriculture and mining will contribute to the demand for drone analytics in the years to come.
