At Warren Farms, Mack and his father explored more innovative approaches to maximizing their yields. They started by upgrading their equipment for specific areas as well as flat-rating higher amounts of fertilizer.
Contrary to popular belief, we consistently find that growers are in fact open to adopting new technologies. That said, several criteria need to be met.
New technologies have emerged and been adapted over the years, shifting away from the more traditional animal-drawn equipment and making the shift to powered tools.
The list recognizes companies across the globe successfully seeking ways to increase and improve sustainable agricultural productivity practices, including best practices in robotics and automation, indoor vertical farming and livestock wearable sensors.
Now, as we begin to see light at the end of the pandemic tunnel, expectations remain for these technological shifts to persist. Here are the most important agtech trends to watch in 2022 and beyond.
Recent innovations in farm equipment allow for increased versatility on the farm. Here are 11 examples of the innovations that have helped change the course of farming and enable farmers to get their work done with fewer implementations and greater efficiency.
To boldly grow, the world needs to implement these new innovations with the ultimate goal of cleaner, greener agriculture.
With the capability to produce 500 kilograms of cultured products a day, equivalent to 5,000 hamburgers, this facility makes scalable cell-based meat production a reality.
As growers are looking for new ways to optimize crop production, San Francisco-based FarmWise leverages the latest advances in artificial intelligence and robotics to offer plant-level farming as-a-service.
Big indoor farms are attracting big investments. But transforming agriculture might depend on putting nanofarms everywhere-maybe even in your home.
Consus has developed an intelligent software-based system that reduces the burden of audits and improves productivity. By linking HR records to labour deployment the facial recognition module enables accurate costing of all products and improved traceability.
Cambridge researchers have developed what is believed to be the first robotic lettuce leaf peeling system of its kind.
In a field of sugar beet in Switzerland, a solar-powered robot that looks like a table on wheels scans the rows of crops with its camera, identifies weeds and zaps them with jets of blue liquid from its mechanical tentacles.
Meagan Flynn for The Atlantic: They might be an efficient way to produce food in a world with more-extreme weather-but only if growers can figure out a successful business model.
Shaped like a pane of glass, a luminescent solar concentrator is typically transparent, but contains a luminescent dye that absorbs light within a particular spectral range, then re-emits the light at a different wavelength.
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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.