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.
How Embedded Vision and Ai Are Revolutionizing Agriculture in India
AI algorithms can then process this data to provide insights that aid in decision-making, improving yields and reducing waste. As a result, agriculture businesses can save costs, increase productivity, and ultimately improve their bottom line.
Using AI for data-driven farming of the future
Fuelled by proven new digital technologies - such as AI, ML, and cloud computing - and growing agribusiness-tech partnerships, the potential for AI to deliver for modern farming needs is huge.
Carbon Robotics Adds Industry's First LaserThinning Capability to its AI-powered LaserWeeder
The company's LaserWeeder surpasses 500 million weeds eliminated across 40 different crops. 2023 deliveries will bring LaserWeeders to farms in 17 U.S. states and three provinces in Canada
APPLE KING ACHIEVES GROUNDBREAKING GRADING RESULTS WITH ELLIPS TRUE-AI
In mid-December, Apple King of Yakima, WA upgraded its existing Ellips TrueSort apple grading & sorting technology to incorporate Ellips' "Deep Learning" solution called TrueAI.
2022 Top Article - AI and Custom Imaging Hardware to Address the Challenges of Growing High-quality Crops
The twin pressures of a relentless increase in the demand for larger volumes and higher quality fruits and vegetables together with pressures on growers for more sustainable farming will drive the need for higher yields at the plant level.
MIGAL's Advanced AI Quadruples Cucumber Postharvest Life
Laboratory results confirm that "smart," algorithmically-guided sequencing and combinations of produce treatments can dramatically extend postharvest life.
The World of Future Farming and Artificial Intelligence
The marriage of AI and agriculture is real and it is promising. Now, more than ever, it appears that the future of farming may well lie in artificial intelligence technologies.
How AI Driven Pest Monitoring Can Benefit Organic Farmers
When it comes to certified organic systems, pest monitoring and management is paramount to a successful operation. Unlike traditional farms that have access to a bevy of specialized pesticides that can typically be utilized as needed, organic farmers aren't so fortunate.
The AI Agricultural Revolution - A Fertile Ground for Growth
Akin to Industry 4.0, Agriculture 4.0 refers to the next big trends facing the industry, including a greater focus on tools for precision agriculture, as well as agricultural technology ('AgTech').
Rijk Zwaan autonomous growing trial delivers confidence
Rijk Zwaan and Blue Radix have undertaken a joint initiative for a unique production comparison with autonomous growing. Implementing artificial intelligence (AI) in Rijk Zwaan's seed production process has many advantages.
Fruit Harvesting May Get a Tech Update Thanks to This Robot
Below is more information about the revolutionary fruit harvesting technology that can streamline the picking process, allow farmers to overcome existing challenges and help solve ongoing labor shortages in the sector.
Researchers Analyze H2O Absorption via Goldeye SWIR Cameras
The LemnaTec system, called Scanalyzer3D, utilizes advanced cameras from Allied Vision to provide researchers with previously unavailable data on plant growth, root development, water absorption and drying, and photosynthesis.
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Cartesian robots with the right design upgrades can take over manual transfer operations with ease
Manufacturing and packaging operations that still depend on manual material or parts handling operations can reap immediate benefits from a type of automation based on long-travel Cartesian robots with custom end-of-arm tooling (EOAT) and advanced sensing capabilities. These robots can support a variety of machines - performing otherwise manual tasks such as machine tending or transferring in-process parts - making long-travel Cartesian transfer robots a major upgrade to processes and operations. Download the White Paper from Bell-Everman