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Chloros Aims for 'Dream Rice': Future of Crop Breeding Transformed by Image Analysis AI

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AI Summary (NQ-processed)

Chloros Inc. promotes a project to halve the development time of new crop varieties from 10 to 5 years using its image analysis AI platform 'SWALO' to address global food shortages.

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Frequently Asked Questions

Q: What crops can SWALO analyze?
A: It focuses on rice (paddy) and can quantitatively evaluate disease status and growth at a 1cm scale using pre-trained AI models without requiring expertise.
Q: Why is the breeding period shortened?
A: By automating visual evaluations previously done by humans, the selection process becomes faster and more reproducible, cutting the usual 10-year cycle to 5 years.
Q: Which organizations have adopted it?
A: It is already in use by five pesticide/seed companies and two public research institutions globally for field trials and efficacy testing.