AI-Driven Laser Biospeckle for Seed Quality Estimation
AI Based Soyabean Seed Viability Sensor for Assessment of Seed Quality
Tags: IIT Indore, India, Agriculture & Food, Computing Technology
A deep learning-based laser biospeckle technology has been developed to automate and improve real-time seed quality estimation. The framework extracts both spatial and temporal features from speckle images, enhancing accuracy and efficiency in seed characterization. Multiple deep learning models, including CNN, DNN, RNN, and ANN, have been explored for data processing. Applications include seed testing services for farmers, agricultural industries, and academic training. The technology aims to help farmers select high-quality seeds even in remote areas.
IP Type or Form Factor: Patent Granted; Software & Algorithm
TRL: 3 - proof of concept with needs validated
Industry or Tech Area: Agriculture; Big Data Analytics & Simulations
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