AI & Autonomous Solutions in Agriculture
Our autonomous systems have completed over 50,000 operational hours across 150,000 acres in the US. By operating tractors precisely and remotely, we also are seeing improvements in worker safety, and exposure to hazardous materials and chemicals.
How AI Is Used for Crop Disease Diagnosis
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Incorporating AI is one of the most effective ways to tackle a top farming fear - crop disease. How is the tech capable of accurately diagnosing sick crops?
'Autonomous Growing: win-win for team and company'
More and more companies in horticulture around the world start working with Autonomous Growing. Why do they choose to start working with artificial intelligence (AI) in the greenhouse from a business perspective? Blue Radix asked three CEOs.
A Packaging Look-Ahead for 2024 and Beyond
As packaging converters and their brand/retailer clients look to the future, there are four key areas of focus that are getting a lot of attention: Artificial Intelligence, Sustainability, Automation, and Hiring and Retaining talent.
AI Making Ag Equipment Accessible to All Farmers
The emergence of AI and Internet of Things (IoT) technologies can address many challenges facing farmers today, including expanding access to mechanized equipment. Leveraging these innovations is crucial to enhancing productivity in agriculture to meet future demand.
Havis, Inc. and Farmwave Pioneer AI Solutions for Harvest Optimization
Farmwave's AI software monitors loss in real-time using strategically positioned cameras, allowing prompt adjustments to optimize efficiency. To address spatial challenges within farm machinery cabs, Havis provides rugged docking solutions tailored for Dell tablets.
The Role of Robotics in Agrovoltaics: 5 Interesting Developments
While agrovoltaics is a promising strategy, it only works if the PV systems are properly utilized. That's where robotics comes into play. These five interesting developments have expanded the role of robotics in agrovoltaics & helped farmers optimize their solar technology.
7 Innovative Onion Packers Embrace True-AI to Transform the Market
By embracing True-AI, onion packers can elevate their grading performance to new heights. Its deep learning capabilities enable more accurate and consistent onion grading
Are We Underestimating AI's Likely Impact on the Food System?
AI has enabled us to notice how food production systems have been organized around the scarcity of knowledge-intensive human skills, such as perception and reasoning.
Solving Biotech Challenges with AI
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Conventional methods for developing biotechnology products rely on trial-and-error based processes, which are slow and laborious. Through biological design automation, innovative and successful products can be developed at unprecedented speed.
Transforming Agriculture: The Rise of AI in Commercial Farming
AI has emerged as a powerful ally, empowering commercial farmers with unprecedented capabilities and insights. From optimizing crop yields and reducing resource wastage to enhancing decision-making processes, AI is transforming the agriculture industry from the ground up.
AI-powered Laserweeding: A New Tool for Weed Control
The LaserWeeder is a pull-behind robot that seamlessly attaches to the back of tractors. LaserWeeder combines AI, computer vision software, deep learning models and lasers to identify weeds and target them for elimination.
The Role of AI and Machine Learning in Advancing Sustainable Biologicals in Agriculture
AI and machine learning solutions can help identify new microbial strains with beneficial agricultural properties, marking them as good candidates to improve biologicals such as biopesticides, biofertilizers, and biostimulants.
How Cameras Enable Vision in New-age Agricultural Robots
Embedded vision has been transforming agriculture by enabling autonomous mobile robots to 'see' their environment for the purposes of picking & harvesting, plowing, weed & bug detection, etc.
Startup Sprouts Multitasking Farm Tool for Organics
Verdant runs on the NVIDIA Jetson edge AI platform and relies on TAO Toolkit's transfer learning to boost model production by 5x.
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How to overcome GNSS limitations with RTK correction services
Although GNSS offers ubiquitous coverage worldwide, its accuracy can be hindered in some situations - signals can be attenuated by heavy vegetation, for example, or obstructed by tall buildings in dense urban canyons. This results in signals being received indirectly or via the multipath effect, leading to inaccuracy, or even blocked entirely. Unimpeded GNSS positioning in all real world scenarios is therefore unrealistic - creating a need for supporting technologies, such as real time kinematic (RTK) positioning and dead reckoning, to enable centimeter-accuracy for newer mass-market IoT devices.
