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?
Marilyn Kalfus for the OC Register: The 300-acre sustainable community, named Miralon, is planned as one of the nations largest agricultural neighborhoods, or "agri-hoods," where new homes crop up around community farms.
Brian Spaen for GreenMatters: Theyll be farming in solar-powered greenhouses and vertical farms in densely-populated locations. This will bring in fresh crops to the community, adding to the great quality of life theyre hoping to achieve through its other sectors.
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.
Melissa Yeo for Stockhead: Roots sells an underground heating and cooling system for crops that increases yields and allows crops to be grown out of season.
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).
GardenSpace, a Smart Garden Robot that Waters, Monitors, and Protects Plants, Launches on Kickstarter
The GardenSpace camera sensor monitors health by determining how chlorophyll level, plant growth, and plant temperature change over time, and then sends precise information to the gardener via an accompanying app.
Gerald Piddock for NZ Farmer: Larger farming machinery will be replaced by more efficient systems relying on emerging technologies, agricultural robotics expert Simon Blackmore says.
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.
Jorn Madslien for BBC: The app, called Plantix, was developed thousands of miles away in Berlin, Germany, by a group of graduate students and scientists who came together to help farmers combat disease, pest damage and nutrient deficiency in their crops.
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?
Mike Wilson for Farm Futures: When IBM and Silicon Valley invest in ag, you know its not your daddys farm anymore.
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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 color deviations. To cover all possible variances with classical image processing would be very time-consuming and costly. With artificial intelligence, however, these challenges can be solved in no time at all. IDS NXT ocean is a user-friendly all-one-one system which requires neither special knowledge in deep learning nor camera programming. Only sample images and knowledge on how to evaluate them (e.g. "good apples" / "bad apples") are needed. This makes the start into AI-based image processing particularly easy. Camera hardware, software, infrastructure and support come from a single company. For beginners, IDS offer the IDS NXT ocean Creative Kit, which includes all components and workflows to create, train and run a neural net.