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Reading: South Australian AI Company GrowMicro Rolls Out New Grain Assessment Technology
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Tech Business News > Technology > South Australian AI Company GrowMicro Rolls Out New Grain Assessment Technology
Technology

South Australian AI Company GrowMicro Rolls Out New Grain Assessment Technology

Editorial Desk
Last updated: September 27, 2022 11:40 am
Editorial Desk
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South Australian artificial intelligence (AI) company GoMicro rolls out new grain assessment technology in Australia, paving the way towards more consistent quality controls and stable grain and pulse prices.

GoMicro CEO Dr Sivam Krish, based at Flinders University’s New Venture Institute (NVI) at Tonsley Innovation District in Clovelly Park, Adelaide, says that his company’s multi-grain assessor gives growers and domestic and global buyers a more efficient and precise way to assess crops, which can assess more than 1200 grains in one sample compared to the existing method that monitors about 200 grains separately.

“GoMicro relies on the excellent quality of phone cameras and Amazon web services to deliver low-cost, high-precision quality grain and other produce assessments to farmers worldwide,” says Dr Krish.

GoMicro’s grain assessment technology is being trialled in wheat grown in India, corn in Ghana, and expansion negotiations are well underway with a major Indian ag-tech company to use the technology on grain, corn, and soy procurement.

“Accurate verifiable assessment will greatly reduce quality-related assessment risks for all parties in the supply chain,” says Dr Krish.

The new system reduces the risk of wasted production and trade disputes which often involves more subjective human quality assessment.

“This direct digital manufacturing facility, at Flinders University, is working with Queensland grain, seed and pulse trader PB Agrifood to assess the quality of soybeans sold by local farmers,” Dr Krish says.

In the first Australian trial, PB Agrifood field officer Kate McIntyre says the Toowoomba-based company hopes the GoMicro Assessor will be “very useful in day-to-day operations”, making digitisation solutions accessible to the company as well as growers to produce fair pricing based on objective assessment.

“When PB Agrifood heard about Go Micro and the use of AI technology to classify grain and pulses, we thought about how this technology could improve efficiency and accuracy in our intake of soybeans,” says Ms McIntyre.

“We believe that the implementation of the technology developed by Go Micro will allow us to establish the quality of the soybeans at intake more quickly and accurately.”

PB Agrifood has several uses for soybeans including whole beans, flour, kibble and meal. Each of these require different standards of soybeans. Staff manually categorise these soybeans based on the relevant standards.

The Go Micro technology assesses the soybeans into five categories and creates a table of results for each defect, including the percentage of defective beans in each category. “It will enable us to match these percentages to our intake standards and categorise the beans,” says Ms McIntyre.

“We are still implementing the technology into our intake process with a few changes to be made, for example, our current standards work off a weight sample whereas with the Go Micro app the sample will be based on the number of individual beans.

“We hope that the technology will result in growers getting a fairer and faster categorisation of their soybeans.”

Dr Krish says the Go Micro technology has shown the potential for farmers to capitalise on low-cost, high-quality grain assessments to “transform entire harvests into digital assets that can be traded online”.

“We are looking at yet more design and AI features to achieve optimal imaging conditions rapidly, even in the field,” says Dr Krish.

“We look forward to making our phone-based AI assessment technology affordable and available to the entire grain industry.”

GoMicro has developed a range of smartphone camera techniques and web-based artificial intelligence (AI) technology to help farmers and consumers around the world improve production and profitability by monitoring pests and food product.

ByEditorial Desk
The TBN team is a well establish group of technology industry professionals with backgrounds in IT Systems, Business Communications and Journalism.
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