A Mango Sorting machine based on size, extent of spoilage and maturity of fruits using computer vision. Mango sorting system consists of automatic grading and sorting system. results of grading system used by sorting system.
Grading is classification of items based on certain features. traditional grading is done by trained people which is labor intensive, time consuming and inefficient. this is major reason for need of automatic grading.
Grading is based on values of certain features:
- Size & Shape
- Spoilage
- Maturity (expressed by color and wrinkles)
Sorting is process of arranging mangoes systematically based on respective classes.
Automatic grading system is implemented using deep neural networks to classify mangoes in respective classes and generate required data used by sorting system to efficiently arrange mangoes.
Implemented using Robotic operating system for computer vision and sorting system
Sequential CNN architecture
- Naik, Sapan, Bankim Patel, and Rashmi Pandey. "Shape, size and maturity features extraction with fuzzy classifier for non-destructive mango (Mangifera Indica L., cv. Kesar) grading." 2015 IEEE Technological Innovation in ICT for Agriculture and Rural Development (TIAR). IEEE, 2015.