Sunday Times (Sri Lanka)

Phone-tool to detect pesticides

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Surveys have indicated that about 40 per cent of Sri Lankan farmers apply pesticides to their crops prior to the appearance of any symptoms of pest or disease, irrespecti­ve of whether the crop is actually diseased or not, according to a new tool that will address these issues.

The incorrect usage and/or misuse of chemical pesticides in agricultur­e has long been the prevalent problem for the industry in Sri Lanka; one that has proven to have detrimenta­l health effects on the farmers that incorporat­e them into their farming methods, the consumers that buy the produce, as well as on the environmen­t that supports the growth of these crops. Instances where pesticide residues have been detected in exported consignmen­ts have also threatened internatio­nal trade.

Veracity AI and its subsidiary Spectrify AI, are developing a groundbrea­king, phone- based AI detection tool that harnesses spectral and image technology to directly benefit the agricultur­e industry. For this, the firm is now partnering with Sensibilit­y Ltd, an Australian AgTech firm that has just launched its innovative new venture, GoMicro. GoMicro that operates by integratin­g a clip microscope and smartphone together powered by machine learning- in order to accurately detect and identify pests on crops, pre empt leaf infections, and improve the quality of food as a whole, the local company Veracity AI said in a media release.

This is a breakthrou­gh for farmers as well as the industry, for the benefits of this early identifica­tion are manifold. Pests can be specifical­ly dealt with -using only the relevant pesticide and within the right buffer zone- before they destroy crops, leaf disease and mineral deficienci­es can be detected before symptoms manifest, and the quality of produce can be assessed effectivel­y.

Speaking on the collaborat­ion, MIT and Cambridge graduate and former Associate Professor at the University of Canberra, Founder and CEO of GoMicro, Sivam Krish said, “This partnershi­p will allow both companies to bring cutting-edge, phone-based, AI-powered technology to agricultur­e in Sri Lanka.”

In combining phone microscopy and spectrosco­py, the companies will together be building powerful solutions, the key focus being on the assessment of food quality, ripeness, and pesticide residue that is otherwise not visible to the naked eye. Furthermor­e, while typically thousands of images are required to train an AI engine, GoMicro can train AI engines with just 50 images, providing accuracies exceeding 90 per cent.

This early and precise identifica­tion will as a result curtail the industry’s over-dependence on pesticides, reduce pesticide resistance, increase crop yields, improve harvest quality, bring to a minimum the level of pesticide residues passed down to the consumer, and also significan­tly reduce the consequenc­es of bad farming practices on the environmen­t.

“There is immense potential for robotics and artificial intelligen­ce ( AI) to drive a major shift in the agricultur­al ecosystem here in Sri Lanka,” said Dr. Krish. “With GoMicro, we make machine vision technology and data-driven intelligen­ce accessible and affordable, with the aim to benefit people, profit, and planet.”

GoMicro has already proven its mettle as an asset to the research and academic community, and hopes to soon commence beta testing the food quality assessment service with a major group in Sri Lanka. Dr. Krish will also personally be working with a university in Sri Lanka to train the next generation of agricultur­al students in the use of AI.

There is immense potential for robotics and artificial intelligen­ce (AI) to drive a major shift in the agricultur­al ecosystem here in Sri Lanka,” said Dr. Krish. “With GoMicro, we make machine vision technology and data-driven intelligen­ce accessible and affordable, with the aim to benefit people, profit, and planet.”

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 ??  ?? GoMicro will reduce the overdepend­ence on pesticides through the early and accurate detection of disease in crops
GoMicro will reduce the overdepend­ence on pesticides through the early and accurate detection of disease in crops

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