Agdhi Introduces Vision-Based Intelligence in Agriculture

Machine Learning, Computer Vision, Edge Computing, and Spectral Imaging Techniques to detect the defects in seeds and crops.

Bangalore, 11 January 2021: Agdhi, an agritech startup based in Bengaluru has introduced vision-enabled AI-based technology in agriculture. It has launched machine learning and computer vision techniques in detecting the defects in the seeds and crops thus enabling the farming community to get quality seeds and crops. These quality results are provided in seconds instead of waiting for a long time using traditional methods. This will bring technology disruption in seed testing, seed sampling, and crop yield which is the need of the hour.

The traditional method of detecting seed defects typically relies on manual inspection, which is resource hectic and subjective. Therefore, an objective and automated seed screening method was required. Thus, Agdhi through AI (Artificial Intelligence) Vision technology, Photometry, Radiometry, and Computer Vision offers efficient methods for Seed Classification and Seed Quality Analysis. The color, texture, size, and shape, are extracted from images of seeds, and the defects of the seed identified through various classifiers based on computer vision. This automation provides an efficient method for seed sorting than being inspected by human labor.

According to Nikhil Das, Founder – Agdhi, “Today, India is seeing a huge disruption in agriculture through technology. Agriculture which is both a major industry and foundation of the economy is looking for innovative approaches in protecting & improving crop yield. With this aim, we plan to introduce next Generation Electronics products optimized for agriculture.”

He further added that the novel & innovative technologies need to be introduced in the market in seed testing & seed sampling to accurately assess the seed quality and provide the crucial data thus helping the farmers in getting a good yield.”

Today, the company is working on technologies like Blockchain, Edge computing, AI, IoT, and microbiology in agriculture.”

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