The agricultural community is behind the curve when it comes to implementing new technologies. There is lots of evidence that farmers are actually moving quite quickly to modernize almost everything about the farming process — they’re using artificial intelligence in new and amazing ways to bring the process of food cultivation into the future.
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Variable rate planting equipment
High-tech agriculture starts at the very second that the seed is first placed in the ground. Experts in the field are familiar with “variable rate planting equipment” that does more than just planting a seed down into the dirt somewhere.
All sorts of artificial intelligence work is being done behind the scenes on predictions — where a seed will grow best, what soil conditions are likely to be, etc. The power of artificial intelligence is being applied to agricultural big data in order to make farming much more efficient — and that’s only the beginning.
All of those centuries of inspecting leaves and stems, and trying to guess which rotations will best increase yields, are obsolete in the face of hard data and automated insights.
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Driverless tractors
Driverless tractors are harvesting fruits and vegetables and food commodities routinely. Just check out resources from Harvest Croo, which has produced an autonomous strawberry picking machine, and Abundant Robotics, where a vacuum apparatus harvests mature apples from trees, to see how this innovation works—and works well.
Harvest technologies like the Harvest Croo berry picker operate on the basis of machine vision and sensor fusion to “see” where harvest fruits and berries are. They use sophisticated directed movements to pick precisely. This is the kind of functionality that is very much in the “artificial intelligence” field and mimics human cognition and directed action.
Agricultural robotics is filling a need as labor pools decrease. But it’s also saving humans from one of the most repetitive and difficult jobs in our economy.
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Automated drone system
Automated drone system been outfitted with precision sensors in order to run the fields and get the data that’s needed. These airborne surveillance engines can look for stunted crops, signs of pest or weed damage, dryness and many other variables that are part of the difficulty of farming in general. With all of this data in hand, farmers can enhance their production models and their strategies across the lay of the land to decrease risk, waste and liability.
“American Robotics’ Scout System, a fully-automated drone system, takes care of the mission planning, flight, charging, data processing, and data analysis, so their customers only need to focus on what to do with that information.
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Yield Boosting Algorithms
Companies are now quickly developing agricultural yield boosting algorithms that can show farmers what’s going to be best for a crop. Despite some concerns about the difficulty of doing this type of analysis in nature, farmers and others have been able to make quite a lot of headway in maximizing crop yield, simply by applying the algorithms and intelligence generators that we’ve built to help computers imitate our own cognitive abilities.
This functionality goes back to what we talked about in the last segment. The artificial intelligence work has supported the idea that machines can deliver deep insights to farmers, taking a lot of the human reasoning out of planning for crop outcomes.
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Pest and Weed Control
Yesterday’s farmers were living in fear of the windstorm and the grasshopper — not anymore. Farmers are quickly adopting new high-tech ways of protecting plants against weeds and various kinds of pests outdoors. Another alternative is to grow in greenhouses, which is being done as well, but some of the most amazing farming technology is being deployed outside.
We know that artificial intelligence excels at image processing — computers can now “see” almost as well as we can. So by deploying mobile technologies with AI technology and computer vision built-in, farmers can find weeds and eradicate them, instead of blanket spraying an entire crop. That makes the food cleaner, and it saves enormous amounts of money. It’s just another example of real new technologies that are having a dramatic impact on yields and everything else.
>>> Read more: Artificial Intelligence (AI) Trends to Watch Out for In 2021
Conclusion
These are some of AI technology in Agriculture coming out to help farmers produce all the food that we need in a rapidly changing world. Population growth and climate change will be massive challenges, but artificial intelligence deployment can help blunt the impact of these and other challenges, and make smart farming much more resistant to the problems that farmers face.
