Nuttakan Wiriyakrieng, Chief Information Officer at Easy Rice Digital Technology, tells us how the company integrates agriculture with technology through Artificial Intelligence in keeping with its vision to digitalise Thailand’s Staple Food Industry and promote sustainability for all stakeholders across the supply chain.

Scientists are analyzing organic vegetable plants in the greenhouse, exemplifying the concept of agricultural technology.

Can you tell us a bit about how Easy Rice started?

My company, Easy Rice Digital Technology, is an AgriTech startup from Thailand. Our ambition is to digitalise agriculture by using Deep AI-computer vision technology as a feasible solution in the industry.

In the Thailand Rice Sector, we have been successful in delivering an AI solution that can differentiate between high-value varieties such as Fragrant Rice (Mali105 and PT1 model), White Rice (GK79), and Sticky Rice (GK6) from other adulterates. Over 250 rice millers in Thailand and Vietnam are using our solution.

 

Can you talk us through the early client success stories that played a pivotal role in growing Easy Rice?

On the very first day of Easy Rice, we approached our main customers, the rice millers and exporters in Thailand. Our early customers play an important role in giving us feedback regarding product development, design and user experience and an accurate value proposition of how our technology can help their business.

More importantly, our main customers used their networks to help promote our technology to the broader market as well.

 

What is unique about what you do?

As an agriculture startup that uses AI computer vision as a leading solution, Easy Rice has the experience and expertise to develop an end-to-end AI solution, from data collection, model training, and model inferencing to launching the commercial product at an affordable price. This is what makes us and our work unique.

 

What are your key takeaways now that you have completed the AI Accelerator program?

I think the AI Accelerator program really helped us promote our technology to investors in the industry sector. This has been very advantageous, mainly as we are now focusing on the grain industry – the Wheat and Barley communities in particular.

 

Do you have any exciting developments on the horizon?

At present, we at Easy Rice are looking for new business problems to tackle. We also want to explore the potential of our technology to help other businesses address their issues using AI computer vision – in short, we are looking to expand beyond the agriculture sector.