Our system will designed to overcome the problems of manual techniques.Our system using deep learning algorithm will detect the fruits based on color,size,texure and other feature.It will apply different algorithm using image processing to perform grading. In pakistan pre harvesting and
Deep Learning based Intelligent Fruit Detection and Grading System
Our system will designed to overcome the problems of manual techniques.Our system using deep learning algorithm will detect the fruits based on color,size,texure and other feature.It will apply different algorithm using image processing to perform grading.
In pakistan pre harvesting and post harvesting process are done manually with the help of labour .This manual process is time consuming and less efficient.Our system mape this manual system into automated by applying Ai algorithm then the work will be error free and efficient.
foollowing are the key objectives of this project
standard research methodology will be followed to develop the algorithm
This system replaces the traditional classification of fruit into automated so labour cost is reduce and more efficient.Different worker classify same fruits through different class but our project will work in centralize environment.
Similary our project will avoid mixing of good fruits with damage fruits.So there is no loss of money and product.
final deliverable will be a software system, trained using machine learning/artificial intelligence techniques on a large data set. user of this application will be able to get classification/sortig resutls by submitting/uploading images of their choice.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| camera | Equipment | 2 | 10000 | 20000 |
| raspberry pi | Equipment | 2 | 20000 | 40000 |
| Total in (Rs) | 60000 |
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