In this research work, we intends to develop an Agri-App for rice seed classification using Artificial Neural Network (ANN). It have multiple steps including images acquisition of rice, then applying pre-processing techniques like thresholding, Canny edge detection, f
classification tool for agri seed varieties
In this research work, we intends to develop an Agri-App for rice seed classification using Artificial Neural Network (ANN). It have multiple steps including images acquisition of rice, then applying pre-processing techniques like thresholding, Canny edge detection, feature extraction, morphological features extracted from the image are forwarded to Neural Network. This effort will help to categorize the appropriate quality rice sample based on its parameters. The performance of image processing condensed the time of action and enhanced the crop identification significantly.
1.To provide a substitute solution for quality analysis which lessen the required time and cost.
2.To identify and evaluate demand-driven options for improved nutrition and equity and ecosystem stability.
Mobile App for farmers.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Android Mobile with high performance | Equipment | 1 | 35000 | 35000 |
| Total in (Rs) | 35000 |
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