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The digital microscope uses AI algorithms to analyze samples of silkworms and cocoons, identifying early signs of infection or abnormalities that may not be visible to the human eye.
While traditional methods allow technicians to analyze about 200 samples a day, the AI-assisted system was able to process about 900 samples at the same time. Representative Image: Canva
In a move that blends technology with traditional agriculture, the Central Silk Board has developed an artificial intelligence-enabled digital microscope in collaboration with a Bengaluru-based startup. The new tool is designed to help silk farmers detect silkworm diseases early, reduce crop losses and improve the overall quality of silk cocoons.
Sericulture is highly sensitive to disease outbreaks, where even a slight delay in diagnosis can wipe out an entire batch of silkworms. Until now, farmers and testing centers have relied on manual microscopic testing, a process that is slow, labor-intensive and dependent on skilled technicians. The AI microscope aims to simplify and speed up this process by combining high-resolution imaging with machine learning.
How does AI microscope work
The digital microscope uses AI algorithms to analyze samples of silkworms and cocoons, identifying early signs of infection or abnormalities that may not be easily visible to the human eye. Once the sample is scanned, the system flags potential issues and stores the data digitally, allowing scientists to track patterns over time.
During pilot testing, officials say the technology has significantly increased testing capacity. While traditional methods allow technicians to analyze about 200 samples a day, the AI-assisted system was able to process about 900 samples at the same time. This scale-up is expected to be especially useful during peak season, when testing backlogs often delay important decisions for farmers.
Reduce reliance on manual testing
A major advantage of the AI microscope is that it reduces the reliance on highly specialized personnel for routine examinations. While expert oversight is still required, much of the initial analysis can be automated, helping to standardize results and reduce human error.
Officials say the system also creates a digital record of test results, making it easier to study recurring disease patterns and predict outbreaks. Over time, this data can help improve advisory services at the farm level and guide preventive measures.
Cost and deployment plans
The AI microscope currently costs around Rs 40 lakh per unit. While the cost may be high for individual farmers, the Central Silk Board plans to deploy the technology at government testing laboratories and sericulture centres, where large quantities of samples are processed.
According to officials, the investment is justified by the potential reduction in crop losses and improvement in cocoon quality, both of which directly impact farmers’ income. Higher quality cocoons also produce better raw silk, thereby strengthening India’s position in the domestic and export markets.
Dealing with counterfeit silk and quality issues
Along with disease detection, the Central Silk Board is also working to address the growing problem of fake silk in the market. Synthetic fabrics are often sold as pure silk, causing prices to drop and genuine producers to suffer losses.
To combat this, the board is using a mix of destructive and non-destructive testing methods to verify the authenticity of the silk. Non-destructive techniques including digital scanning allow garments to be tested without damaging them. Officials say mobile-based testing tools for consumers are also being explored, which could allow buyers to check the authenticity of silk before making a purchase.
converting waste into value
Another initiative discussed with the AI Microscope focuses on reducing waste in sericulture. Dead silkworm pupae, which are usually discarded after silking, contain high levels of protein. Subject to safety approval, the board is exploring their use in poultry feed, fish feed and potentially for human consumption.
Work is underway with food safety authorities to establish standards for the processing of these by-products, which could open up a source of additional income for silk farmers.
Modernization of sericulture without losing its roots
Karnataka remains one of India’s leading silk-producing states, but the sector faces challenges from climate variability, disease risk and global competition. Officials say tools like AI microscopy are part of a broader effort to modernize sericulture while preserving traditional foundations.
By improving disease detection, strengthening quality control and finding new value in by-products, the Central Silk Board hopes to make sericulture more resilient and economically viable. For farmers, the change could mean lower losses, more predictable incomes and better integration with modern markets – all without abandoning a craft that has sustained generations.
January 08, 2026, 11:30 IST
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