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Traditional methods of seed quality assessment are effective but often time-consuming, labor intensive, destructive and require highly trained experts
We combine multispectral imaging and machine learning to provide a fast, non-destructive and versatile seed evaluation system.
This system produces information that vastly improves the efficiency of your purity, germination, vigor, disease and coating analysis processes.
Traditional methods of feed ingredient quality assessment are effective but often time-consuming, labor intensive, destructive and subjective to the human eye.
We combine multispectral imaging and machine learning to provide a fast, non-destructive and versatile feed evaluation system.
Our technology produces information that vastly improves the efficiency of your feed quality processes.
Capture visible and non-visible data by measuring surface chemistry of each individual seed kernel and sample.
Teach the software to complete repetitive analysis and calculations in less time and with more accuracy
Analyze large samples while you complete other tasks. Sort seeds based upon imaging data to separate phenotype traits, prepare germination tests or other custom applications.
I would be very surprised that the multi spectral technology would not claim a key spot in the near future in every (seed) lab, worldwide. The impact of systems like this, combined with the support from companies such as Skyway Analytics, are empowering this technology enormously.
Using multispectral imaging that can see beyond what the human eye can detect is a game changer for identifying diseases and germination in seed, feed grain and food. In my opinion, all of these companies will be utilizing this technology in the near future.
Multispectral imaging has demonstrated the ability to detect and quantify characteristics of individual seeds that are relevant to their quality and performance. I expect it to be an essential tool in assessing and upgrading seed lots.
Pedro is a native of Brazil and has worked at UC Davis as a research associate in Dr. Kent Bradford's lab for the past 10 years. In this position, he has worked closely with seed technology providers on the development and implementation of new tools for the seed industry and specializes in the assessment of seed quality, vigor and storage life.
Taylor grew up spending time on his grandparents’ farm and, after managing an industrial automation software portfolio and starting a technology company, has made his way back to agriculture. He has experience as an engineer and an inextinguishable passion for making a
Emerson graduated from the University of Iowa in 2014 with a degree in Health and Human Physiology. Following graduation, he moved to Colorado where he has since been the operations manager for two companies in the Natural Food Industry. Emerson also manages Dry Chain America, a drying technology provider for the agricultural industry.
Videometer was founded in 1999 and for more than 20 years, it has been a leading company in the production of spectral imaging technologies. A one-in-its-kind, the Videometer Technology combines Spectral Imaging with elements of AI and Machine Learning and Multivariate Statistics. Our user-friendly instruments and unique software provide you with a high-caliber experience, enhancing the way you conduct quality control and product analysis.
We provide the technology, training and support our customers need to harness the power of multispectral imaging in their labs and facilities. Our team combines years of experience in seed research, product design and industrial automation to serve today’s agricultural operators.
Address: 1689 Skyway Drive, Suite 21 Longmont CO, 80504
Phone: +1 720-616-1044