Machine-Vision Technology Shows Promise to Reduce Herbicide Use
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Farmers and land-managers seeking to reduce their herbicide applications now have another promising option via machine-vision technology. That's the summary from a recently published research article in Weed Technology, a journal of the WSSA.
Boost Crop Monitoring with See3CAM_CU83, a New RGB-IR Camera
Boost crop monitoring with e-con Systems' See3CAM_CU83 RGB-IR camera. Capture visible and NIR light for early stress detection, NDVI mapping, and improved crop health, offering cost-effective, real-time insights.
Stereo vision camera provides 3D information from a distance of approx. 20 centimeters
The great strength of Ensenso B lies in the very precise detection of objects at close range. It provides a wide field of view and an impressively high depth of field.
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?
What Causes Blooming Artifacts in Microscopic Imaging and How to Prevent Them
Advanced camera technologies are used with microscopes for diagnostics in the medical and life sciences industry. The occurrence of different types of imaging artifacts is a major challenge faced in microscopic imaging.
Optical Zoom vs. Digital Zoom: See What Best Suits Your Embedded Vision Application
There are two major approaches to camera-related magnification - optical zoom and digital zoom. One relies on manual adjustments while the other leverages software algorithms. Explore the differences, advantages, and limitations of both these approaches.
Enhancing Precision Agriculture with 20MP High-Resolution Cameras for Weed and Bug Detection
In this blog, we explore how a 20MP high-resolution AR2020 sensor-powered camera and its functionality help enhance precision agriculture techniques such as weed and bug detection methods.
IRIDESENSE UNVEILS THE WORLD'S FIRST LASER DEVICE CAPABLE OF ANALYZING PLANT HEALTH REMOTELY
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A global pioneer in 3D SWIR Multispectral perception, IRIDESENSE is unveiling a new LiDAR sensor at CES 2024, allowing real-time remote analysis of plants health and soil humidity, revolutionizing water management and plants care in agriculture
Combating the Risks and Scale of Disasters With Innovative Image Processing
An integrated forest fire monitoring and information management system with intelligent image processing can help protect habitats and infrastructure.
The Next Phase of Development for Vertical Farming
While many farms currently approach their operations primarily from an agricultural perspective, it is worth noting that modern vertical farms share significant similarities with the manufacturing industry.
Aurea Imaging Launches TMS TreeScout, the World's First Tractor-Mounted Sensor for Precision Orchard Management
Powered by AI and high-definition 3D computer vision, Aurea's fully integrated high-precision sensor technology helps fruit farmers optimize their orchards at the individual tree level.
Fish-Farming Startup Casts AI to Make Aquaculture More Efficient, Sustainable
GoSmart, a member of the NVIDIA Metropolis and Inception programs, helps farmers better manage fish feed with autonomous systems powered by the NVIDIA Jetson platform for edge AI.
Fieldin Partners With Fruitspec to Provide Yield Inventory Technology to Apple Growers in the Pacific Northwest
FruitSpec's innovative technologies automatically track fruit sizes and quantities throughout the growing season so growers, packing houses and sales desks can better align fruit inventories to meet market demands.
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.
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.
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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.
