Examples of real applications of Drones

Here are some examples of how the drones revolutionized agriculture, making it more profitable, productive and sustainable.

Case 1

Produce farming with drones

In the state of California, tomato producers are looking to the cloud and drone technology to detect where their crops might be at risk. See the video and understand how the use of drones can really improve agriculture.


Case 2

OCEALIA Group is a French farming cooperative with 7,200 members and nearly 900 employees. Since 2015, five drone operators have been flying the group’s two AIRINOV multiSPEC 4C sensor-equipped SenseFly eBee Ag drones in order to gain valuable fertilization data.


“The drone data is complementary to satellite imagery, which we still use for the general monitoring of our members’ crops throughout the year,” said Romain Coussy, manager of decision support tools at OCEALIA. “However, for providing quick tips on fertilization, the drone is bestadapted to the job. By using the drone for aerial crop scouting, combined with data processing and analysis from AIRINOV, plus our complementary controls, we can provide members with fertilization advice between 48 hours and four days after a flight.”


Since 2015, OCEALIA’s two drones have been used to help over 300 individual farmers, flying over 3,900 ha (9637 ac) of oilseed rape and 3300 ha (8,154 ac) of cereals like wheat, barley and triticale.

“As agronomy experts, our role at AIRINOV is to help OCEALIA’s farmers increase their yields and improve the quality of their crops – mainly cereals and oilseed rape,” said Romain Faroux, CEO and co-founder of AIRINOV. “We do this by analyzing imagery with a strong agronomic approach that goes way further than typical NDVI maps”.
“The OCEALIA farmers who have used our AIRINOV-supported drone service have recorded an average yield increase of 10%, compared to parcels analysed using traditional, non-drone methods,” said Coussy.


“This boost in yield is obviously of great value to OCEALIA’s members,” Faroux said. OCEALIA’s results are a solid, real-world example of how drone data and expert algorithmic analysis can have a real beneficial effect on farmers’ businesses.”

Source: http://www.rcrwireless.com/20160829/big-data-analytics/drones-case-study-tag31-tag99



Definition of Drone

A drone, in a technological context, is an unmanned aircraft. Drones are more formally known as unmanned aerial vehicles (UAVs) or unmanned aircraft systems (UASes). Essentially, a drone is a flying robot.

The aircrafts may be remotely controlled or can fly autonomously through software-controlled flight plans in their embedded systems working in conjunction with onboard sensors and GPS.

In the recent past, UAVs were most often associated with the military, where they were used initially for anti-aircraft target practice, intelligence gathering and then, more controversially, as weapons platforms. Drones are now also used in a wide range of civilian roles ranging from search and rescue, surveillance, traffic monitoring, weather monitoring and firefighting to personal drones and business drone-based photography, as well as videography, agriculture and even delivery services.

Source: http://internetofthingsagenda.techtarget.com/definition/drone


Areas of utilization of drones

The rapid adoption of drones has sparked complaints and concerns. From a privacy standpoint, drones have been used by voyeurs and paparazzi to obtain images of individuals in their homes or other locations once assumed to be private. Drones have also been deployed in areas deemed to be potentially unsafe, such as urban areas and near airports. Growth in commercial and personal drones has also created numerous safety concerns, namely mid-air collisions and loss of control.