Agrograde employs computer vision technology to automate the grading and sorting of fruits and vegetables, ensuring uniform quality and minimizing labor costs. This system enhances throughput and accuracy in the agricultural supply chain by eliminating inefficiencies associated with manual sorting processes.
Funding
Funding not disclosed
Founders
Product
Problem
Manual grading and sorting of fruits and vegetables is labor-intensive, subjective, and prone to inconsistencies, leading to inefficiencies and potential disputes in the agricultural supply chain. This can result in produce of varying quality reaching the market, impacting profitability for farmers, enterprises, and Farmer Producer Organizations (FPOs).
Solution
Agrograde offers AI-powered smart machines and a mobile app that automate the grading, sorting, and quality assessment of fresh fruits and vegetables. The system uses multiple cameras and sensors to analyze produce for size, shape, color, and defects, delivering consistent and objective results at high speeds. This technology enables farmers to optimize sales by matching produce quality to specific buyer requirements, while also helping enterprises and FPOs improve supply chain efficiency and reduce quality-related losses. The Agrograde app generates quality reports that facilitate negotiations between farmers and buyers, while the sorting machine physically separates produce into different grades based on the AI analysis.
Target Audience
Agrograde serves farmers, enterprises involved in the agricultural supply chain, and Farmer Producer Organizations (FPOs) seeking to improve the efficiency and accuracy of produce grading and sorting.
Features
- AI-based vision system for non-destructive assessment of fruits and vegetables
- Multi-parameter analysis including size distribution, color distribution, major defects, and approximate weight
- Sorting machine capable of separating produce into three different grades
- Mobile app for generating quality reports to aid in sales negotiations
- Cloud storage of reports and data dashboard for analytics and traceability
- Faster QC and procurement processes compared to manual methods
- Objective quality determination, eliminating subjectivity in grading