Chloros Aims for 'Dream Rice': Future of Crop Breeding Transformed by Image Analysis AI

Chloros Inc. participates in the 'April Dream' project, sharing its dream of developing 'Dream Rice'—crops resilient to climate change and disease with high yield and quality through AI evolution.

### Background: Intensifying Food Shortages With the global population expected to reach 10 billion by 2050, food demand will increase by 1.7x compared to 2010. Since most arable land is already developed, 80% of production increases must come from improving productivity on existing land, which is challenging due to climate change.

### Chloros' Approach Developing new rice varieties typically takes nearly 10 years of manual visual evaluation. Chloros uses image analysis AI to capture growth and pest status at a 1cm scale from drone or smartphone images, converting visual observations into quantitative data. This technology aims to shorten the 10-year development cycle to just 5 years, bringing stable, high-quality rice to consumers faster.

### Product Milestones In 2025, Chloros launched AI solutions for field trials targeted at pesticide/seed manufacturers and research institutes. As of March 2026, the technology is used by five manufacturers and two public institutions globally. In 2026, the 'SWALO' platform was refreshed to allow customers to handle the entire pipeline—from photography to AI inference and mapping—within their own environments using pre-trained models.

### Recruitment and Company Mission Chloros is seeking partners to transform global agriculture through AI.

**About Chloros Inc.** Based in Adachi-ku, Tokyo, Chloros develops systems for digital plant information analysis. Its mission, 'Visual Intelligence for Crop Evolution,' aims to support agricultural development and the future of food through AI recognition technology.