Headquartered in Bengaluru, Agdhi, an agritech startup, makes use of AI & computer vision techniques in detecting defects in seeds
Agdhi, a Bengaluru-based agritech startup, has introduced vision enabled AI-based technology in agriculture. It has launched machine learning (ML) 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 would bring technology disruption in seed testing, seed sampling and crop yield which is the need of the hour.
“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”, said Nikhil Das, Founder – Agdhi. 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 good yield.”
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. Agdhi through AI, vision technology, photometry, radiometry and computer vision offers efficient methods for seed classification and seed quality analysis. The color, texture, size, and shape, is 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.
Agdhi has been working on technologies including blockchain, edge computing, AI, IoT and microbiology for improvising on farming outcomes.
Qaisar
