Seed classification is a critical process in the agriculture industry, particularly for ensuring the quality of crops. Traditional methods are labor-intensive and time-consuming, whereas automated classification using AI can significantly improve speed, accuracy, and consistency. This project will develop a deep neural network-based solution to automate seed classification, leveraging cloud computing to make the application scalable and efficient. The partnership with Alkaram Rice Engineering will ensure that the system meets industrial requirements and is tested on real-world data. Namal's HPC cloud will serve as the platform for large-scale testing and deployment, offering robust computational resources for training and inference.
This project focuses on developing a cloud-based seed classification application using a fast and accurate deep neural network (DNN) algorithm. The system will classify different types of seeds based on visual features such as shape, size, and texture. The final classification model will be optimized for deployment on the Namal HPC Cloud platform to ensure real-time testing and scalability. The project will be supported by Alkaram Rice Engineering Pvt Ltd, providing domain expertise in rice seed classification and testing. The collaboration with the Centre for AI and Big Data will offer guidance in the development and deployment phases, while the Namal Supercomputing Lab will facilitate high-performance training of the deep learning model.
This project focuses on developing a cloud-based seed classification application using a fast and accurate deep neural network (DNN) algorithm. The system will classify different types of seeds based on visual features such as shape, size, and texture. The final classification model will be optimized for deployment on the Namal HPC Cloud platform to ensure real-time testing and scalability. The project will be supported by Alkaram Rice Engineering Pvt Ltd, providing domain expertise in rice seed classification and testing. The collaboration with the Centre for AI and Big Data will offer guidance in the development and deployment phases, while the Namal Supercomputing Lab will facilitate high-performance training of the deep learning model.
The Cloud Application online link
http://119.156.30.83:8502/
http://119.156.30.83:8502/
Smart Rice Analyzer: A Cloud-Based Solution
UCERD Rawalpindi
Supercomputing Center
UCERD Murree
UCERD Gathering Intellectuals Fostering Innovations
Unal Center of Educaiton Research & Development
Unal Center of Educaiton Research & Development
