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.
Pam Smith for The Progressive Farmer: Drones buzzed overhead a tractor and spray boom projected images to simulate how spray nozzles can use new technology to spray only where weeds had escaped previous controls.
Using Agriculture Drones to Move From Analog to Digital Farming: A Case Study in Quantifying the Return on Investment
For us, the answer on when to go from "analog" to "digital" farming is today. In one growing season, we estimate that we will come out positive on our investment in implementing a "base-plus" variable rate nitrogen program.
Anthony King, From Horizon Magazine: Bee-based maths is helping teach swarms of drones to find weeds, while robotic mowers keep hedgerows in shape.
Lars Wecks for Trend in Tech: A new camera from Cubert, working in collaboration with VITO Remote Sensing and imec, based on research from the European Space Agency, is bringing high-resolution details to precision farming.
Malek Murison for We Talk UAV: Luckily, a few farming pioneers have started using their drones to herd animals, including cattle and sheep, from one place to another.
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Artificial intelligence can be used, for example, to classify fruit varieties or to identify damaged parts (e.g. apples with marks or colour deviations). To cover all possible variances with classical image processing would be very time-consuming and costly. AI is able to solve these challenges in no time at all. With IDS NXT ocean, there is now a user-friendly complete solution for industrial applications available. It requires neither special knowledge in deep learning nor camera programming.