The proposed system aims to automate soybean classification stages for cooperatives. Currently, many locations perform this process manually, which can lead to errors due to human factors. Therefore, SOYIA: Automated Soybean Grain Classifier seeks to automate the classification process in compliance with the Ministry of Agriculture's regulations (Normative Instructions N. 11/2007 and 37/2007).
How It Works
- Pre-Screening – The user filters out large impurities (e.g., leaves and twigs).
- Sample Input – The user must insert a soybean sample of at least 125g into the machine.
- Fine Sieving – The remaining material will pass through a 3mm sieve to separate grains from smaller particles.
- Weight Measurement
- The material that passes through the sieve will be weighed.
- The retained grains will be dropped into a container and also weighed.
- AI-Based Classification – A camera will take pictures of the grains in the container to classify them based on the following characteristics:
- Good grains
- Smashed grains
- Burnt grains
- Moldy grains
- Report Generation – The web server’s backend will generate a classification report following the Ministry of Agriculture’s standards.
[References]
https://www.sistemafaep.org.br/wp-content/uploads/2024/01/PR.0230-Classificacao-Soja_web.pdf