How to Create Intelligent Machine Vision Applications
Recognizing organic and multi-variant objects is no easy challenge in machine vision. However, the situation is different when using intelligent cameras such as those of the IDS NXT series.
Vision System Simplifies Robotic Fruit Picking - Acro Institute
By placing the camera inside the gripper, the position of the camera is fully controllable. The camera can point its optical axis at the apple, reducing image distortion and eliminating repetitive calibration steps during apple picking.
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.
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.
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.
This Rocks: Terraclear's Rock-picking Robot Increases Productivity for Farmers
By using a computer vision-controlled system to map terrain and identify the size and location of rocks embedded in the soil, the heavy lifting is done by automated machinery which saves farmers a lot of time and money.
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.
How image data is changing agriculture
Anyone who wants to realize applications in which objects with a wide variety of characteristics - such as vegetables or fruit - are to be reliably recognized, cannot afford to ignore image processing with artificial intelligence.
Cultivating Farmland Precisely and as Needed
Digitized and automated processes are becoming increasingly important in modern agricultural enterprises. Machine vision methods play a key role here. Among other things, they can be used for a variety of precision farming applications.
Camera System Minimizes Health Risks When Consuming Seafood Products
Stuttgart-based technet GmbH has developed a system that uses a USB 3 uEye CP industrial camera from IDS to capture the contours and surface parameters of the parasites and determines the curvature energies of individual larvae from these data.
IDS NXT ocean: Create an intelligent camera without prior knowledge
The all-in-one solution IDS NXT ocean includes not only industrial-grade camera hardware with a powerful AI core but also training software for creating individual neural networks.
C2-A2 AGRODROID - world's new Smart Farming product
European software developer 'Cognitive Technologies has developed the world's first industrial agrodroid for international agricultural market.
Uncovering Spectral Signatures in a Pecan Orchard
Multispectral cameras capture spectral signatures much like a thermometer measures the temperature of the human body. Changes in plant reflectance indicate stress, but additional information is required to identify the cause.
AgShift, a US-based Start-up Raises US$2 Million Funding From Exfinity Ventures Among Others
AgShift is building worlds first autonomous food inspection system using Deep learning and they plan to use the funding to strengthen product development and expand customer reach.
Cargill brings facial recognition capability to farmers through strategic equity investment in Cainthus
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Cargill and Cainthus intend to first focus on the global dairy segment, but will expand to other species, including swine, poultry and aqua over the next several months.
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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.
