Transitioning to my new role at Shunya, an Agritech startup, has been an exhilarating journey. As part of my responsibilities, I oversee the entire tech stack, but what truly excites me is the opportunity to innovate and build solutions that address real-world challenges.
One such challenge emerged during our procurement process. Our operations require sourcing large volumes of seeds across various categories, and ensuring their quality is critical. Traditionally, this assessment relies heavily on human expertise—a process that is subjective and time-intensive.
While watching demos of object scanning technologies, a thought struck me: What if we could develop a system to analyze seed quality in real-time? Such a tool could empower decision-making during procurement by providing instant insights into whether a batch meets our standards.
Bringing the Idea to Life
Driven by curiosity, I embarked on extensive desk research. It became evident that while others had explored similar concepts, there was room for innovation. With a clear vision, I rallied my team of developers, and we began working on the project—codenamed Drishti.
Within days, we had a working prototype. Leveraging AI and machine learning, the tool could grade seeds with impressive accuracy, offering a glimpse into its potential to transform how we evaluate seed quality.
The Big Reveal
After months of refinement, Shunya Drishti was ready for its debut. We showcased the solution at a prominent investors' conference, and the response was nothing short of phenomenal. The audience recognized its potential to revolutionize agricultural procurement, and the excitement was palpable.
If you’re curious about the technology and want to dive deeper into how Shunya Drishti works, check out the detailed explanation on our official blog: Introducing Shunya Drishti: AI for Seed Quality Analysis.
This journey has been a testament to the power of collaboration, creativity, and technology in addressing critical challenges in agriculture. And it's just the beginning!
