Blog

Press Release: Camas company distributes automation solutions to scientists and farmers

Camas, WA:  CID AgTech announced the launch of its new venture to bring cutting edge technologies from the burgeoning-but-dispersed ag tech marketplace to scientists and farmers.  The first stage of the business will focus on high throughput plant phenotyping (HTPP), an emerging technological toolkit to accelerate the commercialization of novel plant and seed traits as well as crop growth enhancing biologicals.  The second stage of products will take aim at the farm labor shortage, bringing crop cultivating and harvesting robots to growers. 

“This new and independent company will be housed within CID Bio-Science to leverage its 28-years of continuous experience in the design, engineering, manufacturing, and marketing of hand-held instruments for plant and food scientists around the globe,” states Leonard Felix, CID Ag-Tech Co-founder and President, “This frees our partner companies to focus on product innovation while we take care of sales, installation, training, repair, and customer service.” 

“In my prior experience forming and managing the North America division for a global plant phenotyping company I observed that scientists needed assistance identifying technologies to accelerate their pace of innovation.  On the other side of the coin suppliers needed a local presence to reach these customers in the key North America market.  I believe the same will be true for growers who wish to adopt robotic technologies,” asserts Dr. Edwin Reidel, Co-founder and Managing Director, “CID Ag-Tech will provide a value-added service to both parties, speeding the process of identifying and selecting technologies while facilitating the acquisition process for the purchasing departments of companies, universities, and institutes.” 

About High Throughput Plant Phenotyping (HTPP) 

High Throughput Plant Phenotyping (HTPP) has emerged over the last decade as a response to the so-called bottleneck in crop improvement, whereby the rapid proliferation of genomic data was underutilized because of a lack of methods to quantify plant traits – which are highly plastic in different environments.  Improvements and cost reductions in image capturing and analysis technologies aided the development of HTTP.  In addition, growing interest in the problem of population growth exceeding improvements in crop yields attracted the attention of computer scientists, engineers, statisticians, and other scientists no traditionally engaged by biological questions.  HTTP is now an accepted alternative to the traditional measuring stick and clipboard style of data collection that relied on laborious measurements using handheld tools and subjective “breeder scale” qualitative scoring.  For example, plant leaf area data calculated by counting green pixels in a calibrated image can now be included in scientific journal