How the University of Lincoln Uses AI to Grow the UK's Millions of Strawberries to Perfect Ripeness
Through this new technology, robots will run through strawberry greenhouses in the north of England, gathering video footage that gets analyzed by AI as the robot moves along.
Risks of using AI to grow our food are substantial and must not be ignored, warn researchers
AI is on the cusp of driving an agricultural revolution, and helping confront the challenge of feeding our growing global population in a sustainable way. But researchers warn that using new AI technologies at scale holds huge risks that are not being considered.
How Modern Agriculture Technology is Changing in 2022
Modern agriculture technologies such as crop monitoring drones, farm management software and livestock measuring sensors are just some of the tools improving crop production in a world full of depleting resources.
BOWERY FARMING ACQUIRES TRAPTIC, 3D VISION AND ROBOTICS HARVESTING STARTUP, TO ACCELERATE THE COMMERCIALIZATION OF FRUITING AND VINE CROPS
Traptic's 3D vision, robotic arms and artificial intelligence (AI) combined with Bowery's world-class technology deployed in its farms will be used to harvest ripe strawberries.
Pleora's Visual Inspection System Helps Ensure Brand Quality for Dairy Distillery
Fast-growing distillery with unique spirits made from milk deploys Pleora's new Visual Inspection System to add AI-based decision-support for labelling and quality control
2021 Top Article - Advancements in Precision Agricultural Insights
In five to 10 years we will see more aerial and ground robots operating alongside the farmers. And farmers will be able to proactively manage their farms using modern AI capabilities and generate better yields and profits-with optimum sustainability.
87% of US Agriculture Businesses Are Currently Using AI
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87% of US agriculture businesses are currently using AI technologies, up from 74% at this time last year, according to new research released today.
Will AI Replace Farmers? Yes, and No
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The appeal of farming isn't what it used to be, and fewer people are interested in taking up the profession. Thanks to technology and artificial intelligence, though, the industry can still keep up and yield more and healthier crops and livestock.
Advances in artificial intelligence (AI) and Internet of Things (IoT) for Precision Growing
I think it is fair to say that most farmers know that things need to change. The Agriculture industry is littered with legacy systems that are outdated and ineffective.
AeroFarms and Nokia Unveil Partnership for Next Generation AI-Enabled Plant Vision Technology
Ground-breaking technology partnership will significantly improve plant yields and quality in AeroFarms' vertical farms through analytics, AI, drones and wireless networking.
From Picking Tomatoes to Vaccinating Fish, Agricultural Robots Show Future of Farming
The future of farming was on display at the recent "First China Agricultural Robot Innovation Competition" as teams from universities, scientific research institutes and technology companies showcased their innovations.
AI in Agriculture: The Future of Sustainable Farming
While applications like autonomous driving get most of the headlines around AI, this technology has become essential to the fabric of our digital lives.
Food Security In a Post-Pandemic EU: Growing Smarter and Growing Locally
If we've learned anything from the global pandemic, it's that our current food supply chain is unstable. In the EU alone, lockdowns have kept laborer's from crops, farmers have been unable to get produce to market.
SaaS-based Agriculture- Revolutionising the Agricultural Sector with Cutting-Edge Software Solutions
AI-driven farming can provide farmers with pest-risk forecasts, image-based insights, and weather pattern related information. AI allows farmers to tackle pest attacks, crop failure possibilities, climate change, and soil degradation smartly and more effectively.
How to control growth phases intelligently and efficiently
Image processing with cameras and AI enables applications that were previously unthinkable. In agriculture, for example, it supports the optimal application of fertilizers, the visual monitoring of products and growth phases, and the processing of harvested crops.
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