Easy Rice utilizes artificial intelligence to inspect rice quality and cultivar purity by analyzing the physical characteristics of milled rice and dry paddy. This technology addresses the need for accurate classification and certification in the rice export industry, enhancing efficiency and reliability for stakeholders.
Funding
Funding not disclosed
AAFounders
Product
Problem
The rice export industry requires accurate and efficient methods for assessing rice quality and verifying cultivar purity, but traditional inspection processes can be time-consuming and prone to human error. Inconsistent classification and certification can lead to trade disputes and reduced market value for stakeholders.
Solution
Easy Rice offers AI-powered solutions for inspecting rice quality and cultivar purity by analyzing the physical characteristics of milled rice and dry paddy. The technology automates the assessment process, providing objective and consistent results for rice exporters, millers, and other stakeholders. By digitizing grain inspection, Easy Rice enhances efficiency, reduces subjectivity, and improves the reliability of rice classification and certification.
Target Audience
The primary target audience includes rice exporters, rice millers, cooperatives, surveyors, and importers who require accurate and efficient rice quality assessment and variety identification.
Features
- AI-powered analysis of milled rice to classify defects such as chalky, yellow, red, paddy, glutinous, undermilled, and damaged kernels (EASYRICE M0)
- AI-driven classification of rice varieties based on the physical characteristics of dry paddy, differentiating varieties such as Hom Mali, Hom Pathum, and GK79 (EASYRICE MP)
- Image-based analysis using computer vision algorithms to identify and quantify grain characteristics
- Cloud-based platform for data storage, analysis, and reporting
- API access for integration with existing systems and workflows
- Customizable reporting and data visualization tools