Researchers at Earlham Institute have developed a machine learning platform to categorise lettuce crops using computer vision and aerial images
Scientists at the University of the West of England are using face recognition to detect different emotional states in pigs in order to alert farmers to any health and welfare problems
The agri-food industry is on the verge of a revolution thanks to advances in precision farming. Machine vision plays a crucial role in these advances, as Keely Portway finds out
UK Research and Innovation, through the Industrial Strategy Challenge Fund, will invest up to £20 million in innovation projects. These must improve productivity and sustainability by developing enhanced decision support, precision agriculture technology solutions and systems for crop and ruminant agriculture.
This briefing event will include:
Andrew Williams on the uses and current state of hyperspectral imaging, along with the technique’s potential as an industrial inspection tool
The harvesting process could be on the verge of a complete overhaul thanks to machine vision, finds Matthew Dale
Rob Ashwell examines the growing use of hyperspectral imaging in food production
Jessica Rowbury looks at how imaging technology is allowing farmers to reduce their environmental impact while improving profitability
Greg Blackman looks at the relatively recent introduction of vision in farming, from measuring vigour in vineyards to grading cherries
Multispectral and hyperspectral imaging techniques, which combine spectroscopy and imaging, are opening up a range of applications from environmental monitoring and agricultural research to automation of plastic recycling, as Greg Blackman discovers
The sensor of SWIR Vision Systems' Acuros CQD 1920 camera
Matthew Dale finds that new sensor technologies based on quantum dots are set to bring down the cost of shortwave infrared imaging
Keely Portway finds out how vision technology is playing a role in medical diagnosis
Bob McCurrach, director of standards development at AIA, updates on the progress being made in GigE Vision
Following speaking at Embedded Vision Europe, Pierre Gutierrez, lead machine learning researcher at Scortex, writes about the challenges of deploying deep learning on the factory floor
Takashi Someda, CTO at Hacarus, on the advantages of sparse modelling AI tools
Depth map from the SceneScan. Credit: Nerian Vision
Dr Konstantin Schauwecker, CEO of Nerian Vision, describes the firm’s stereo vision sensor for fast depth perception with FPGAs
MVDK evaluation board with MIPI CSI-2 sensor and CXP interface board. Credit: Euresys
Greg Blackman finds that purchasing IP cores for FPGAs is one way to reduce time-to-market for camera production
