Satellite technology allows you to move forward with data you know is accurate and reliable, helping with more precise loss adjustment processes, reports and index-based models for your clients.
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.
Typically growers want to see the seed date, variety, quantity, and maybe harvest date on a plant tag. This can all be done with barcodes.
Farming in a box is a system that uses shipping containers for the purpose of growing year-round agriculture in any environment. Farming in a box allows local food production through design and technology, facilitating anyone to grow food anyplace.
Fly Me to the Field: How Remote Sensing Helped a Grower Spot 26% Lower Crop Rates and Recoup Planting Costs
Drone-based stand establishment for clear-cut crop counting and assessing planting efficiency.
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.
Want to know how to perform in-depth and accurate stand counts to pinpoint areas of potential yield loss and take corrective measures at key times during the growing season?
New Smart Farm technologies can give America's growers the ability to monitor crop conditions in real time, respond to technical problems before machinery breaks down in the field and consult with the world's foremost agronomic experts with the push of a button.
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).
NDVI gives powerful insights and makes it easier to visualize crop health that the naked eye cant see. It shows you where the problem is in advance so you can fix it faster. NDVI technology does not replace humans, but it does help make your job easier.
It is exciting to see the technologies that have made a life-saving difference in medicine now being applied to producing more food from every acre with the best quality.
The inter-play between atmospheric processes, land-subsurface processes and agronomic processes must be considered to make irrigation decisions that promote the economical use of water and energy for the highest crop yield and quality.
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?
With all the planning, planting, spraying and marketing that goes into a growing season, its not uncommon for something to be overlooked come harvest time.
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?"
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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.