Agdhi brings vision-based intelligence to improve farming

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Bangalore: Agdhi, an agri-tech startup has introduced vision-enabled AI-based technology in agriculture.

It has launched machine learning and computer vision techniques for detecting defects in seeds and crops. And thus enabling the farming community to get quality seeds and crops.

With the power of machine learning and computer vision techniques, Agdhi is able to provide quality results. Compared to the old time-consuming methods, the new AI-based techniques provide results in seconds.

This is likely to lead to technology disruption in seed testing, seed sampling and crop yield.

The traditional method of detecting seed defects typically relies on manual inspection, which is resource hectic and subjective. This is where an objective and automated seed screening method is superior to old methods.

Agdhi through AI (Artificial Intelligence) vision technology, photometry, radiometry and computer vision offers an efficient method for seed classification and quality analysis.

After the colour, texture, size, and shape extracted from images of seeds. The defects in the seeds are identified through various classifiers based on computer vision. Compared to human inspection, this automation provides an efficient method for seed sorting.

“India is seeing a huge disruption in agriculture through technology,” said Nikhil Das, Founder – Agdhi.

Agriculture is both a major industry and the foundation of the economy. It requires innovative approaches for protecting and improving crop yield added Das, a former CTO Havells Group and Founder – Promptec LED Lights.

“With this aim we plan to introduce next generation electronics products optimized for agriculture,” he stated.

Seed testing and sampling need new technologies, according to Das. And it will accurately assess the seed quality, provide the crucial data – thus helping the farmers in getting a good yield.

The Bangalore based agri-tech startup is working on technologies like Blockchain, Edge computing, AI, IoT and microbiology in agriculture.

(Image source: Alltech)

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