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, f

2025-06-28 16:30:48 - Adil Khan

Project Title

classification tool for agri seed varieties

Project Area of Specialization Artificial IntelligenceProject Summary

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.

Project Objectives Project Implementation Method Benefits of the Project

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.     

Technical Details of Final Deliverable

Mobile App for farmers.

Final Deliverable of the Project HW/SW integrated systemType of Industry IT Technologies OthersSustainable Development Goals Responsible Consumption and ProductionRequired Resources
Item Name Type No. of Units Per Unit Cost (in Rs) Total (in Rs)
Total in (Rs) 35000
Android Mobile with high performance Equipment13500035000

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