South Australian AI company GrowMicro launches new grain screening technology

South Australian artificial intelligence (AI) company GoMicro launches new grain assessment technology in Australia, paving the way for more consistent quality controls and stable prices for grains and pulses.

GoMicro chief executive Dr Sivam Krish, based at Flinders University’s New Venture Institute (NVI) in the Tonsley innovation district in Clovelly Park, Adelaide, says his company’s multi-grain evaluator provides domestic and international growers and buyers with a more efficient and accurate way to assess crops. , which can test more than 1,200 grains in one sample compared to the existing method that monitors around 200 grains separately.

“GoMicro relies on the excellent quality of Amazon’s phone cameras and web services to deliver high-precision, low-cost assessments of grains and other agricultural products to farmers around the world,” says Dr. Krish.

GoMicro’s grain testing technology is being tested on wheat grown in India, maize in Ghana, and expansion negotiations are underway with a major Indian agtech company to use the technology in grain, maize and soybean procurement .

“An 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 production waste and trade disputes, which often involve a more subjective assessment of human quality.

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

In the first Australian trial, PB Agrifood field manager Kate McIntyre says the Toowoomba-based company expects GoMicro Assessor to be “very useful in day-to-day operations”, making digitization solutions accessible to both the company and for the producers to produce fair products. pricing based on an objective assessment.

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

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

PB Agrifood has several uses for soybeans, including whole beans, flour, kibble, and grits. Each of these requires different soybean standards. The staff manually sort these soybeans according to the relevant standards.

Go Micro technology evaluates soybeans in five categories and creates a table of results for each defect, including the percentage of defective seeds in each category. “It will allow us to match these percentages to our consumption standards and categorize the beans,” says Ms. McIntyre.

“We are still implementing the technology in our intake process with some changes to be made, for example our current standards work with a weight sample, while with the Go Micro app the sample will be based on the number of individual kernels.

“We hope that the technology will result in producers getting fairer and faster categorization of their soybeans.”

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

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

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“We look forward to making our phone-based AI screening 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 controlling pests and food products. .

editorial team

The TBN team is a well-established group of technology industry professionals with backgrounds in IT systems, business communications, and journalism.

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