Field health images can be compared with other important data layers, such as yield, to give farmers a deeper understanding of crop performance that they can use as they plan for the next season.
Scott Willis for WAER: It goes without saying that agriculture is heavily dependent on the weather, and nature. So when Beak and Skiff partner Peter Fleckenstein heard of a way to eliminate some of that uncertainty, he jumped at the chance.
Black Swift Technologies and NASA Partner to Push Agricultural Drone Technology Beyond NDVI and NDRE (Red Edge)
Next-Generation UAS-Borne Sensors Proving More Effective at Vegetation Health and Growth Monitoring Than Existing Alternatives
ABI Research gives comparatively conservative estimates at the valuation of the drone-ag market for many reasons, including an increasingly consolidated market, and the actual needs of the farming industry
As far as drones have evolved over the years, many consumer models still feature a max flight time of around 20 minutes. Some offer as little as five minutes. This fallback can be annoying to those wanting to fly longer than a third of an hour
Sentera's latest offering will help ag professionals collect more uniform normalized difference vegetative index (NDVI) or normalized difference red edge (NDRE) data across a wider range of operating and environmental conditions.
2017 - Most Popular Article - How do drones help farmers? They increase yields, save time, increase return on investment, are easy to use, crop health imaging, water efficiency and other environmental benefits. Look to the sky.
Seung Lee for The Mercury News: An Oakland-based startup is sending its aerial imaging technology to the Midwestern plains to help farmers detect pests and diseases in their corn and soybean fields before an outbreak.
It does seem a bit strange to have the word "drone" used to not only cover a $30 hobby aircraft that a child can fly, but to also describe a high-tech $10 million weapon used on a battlefield. Those devices don't exactly serve the same purpose. So why don't they have differe
Sentera's swappable precision crop health sensors paired with the Inspire 2 offers agronomists, crop consultants, and growers an economical way to capture diverse vegetation indices such as normalized difference vegetation index (NDVI) or normalized difference red edge (NDRE) data while investing in a single drone platform.
Sales of drones are expected to rise from 2.5 million in 2016 to 7 million in 2020, a staggering 180% increase. This means newer and more varied versions of them are constantly hitting the market, making it difficult to keep up with the different types of models.
Drones allow you to see your entire farm from the sky, but also zoom to within inches above the plants. With resolution of 20 inches (50 cm), drones get you close enough to count individual crop rows. Satellite imagery, by comparison, has resolution of just 65 feet (20 m).
Drones dont just take pictures, they capture a wealth of data about your crops health. But how do you know which data is best to use?
If 29-year-old me were here in the present day looking at whats going on in agriculture, I cant help but wonder what would be going through my mind-"Do I believe what I am seeing?" or "Am I inside a Sci-Fi movie?"
Drones can be used in many different ways, but not all of them lead to a high ROI. Heres the story of Caribe Drones, a company which discovered the full potential of drones by using Agremo to help farmers gain more insights into their plants and crops.
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maxon launches the next generation of positioning controllers - the EPOS4. A high performance module with detachable pin headers and two different power ratings. With a connector board, the modules can be combined into a ready-to-install compact solution. Suitable for efficient and dynamic control of brushed and brushless DC motors with Hall sensors and encoders up to 750 W continuous power and 1500 W peak power. The modular concept also provides for a wide variety of expansion options with Ethernet-based interfaces, such as EtherCAT or absolute rotary encoders.