Low-cost Spectrometry based Solutions for Agriculture and Food Technology
Principal Investigator
Prof. Sivaramakrishnan
Objective
- Develop and implement quality assessment strategies for agricultural and food products using optical and near-infrared spectrometry, alongside automated testing. Scale up the production of affordable indigenous spectrometry technology and create analytical software tools for seamless integration into IoT and big data systems.
Description
- Develop cost-effective optical spectrometry solutions for agri-food quality control and testing. Customize technology to address industry-specific challenges. Implement quality assessment and automation strategies. Scale up indigenous spectrometry production. Create analytical software tools for IoT and big data integration, benefiting agriculture and food industry partners.
Impact
- Create a scalable, automated platform for quality assessment in agriculture and food using optical spectrometry. Develop analytical software tools for data integration and offer core technology solutions for industry partners across various business aspects.
Budget in Lakhs
75.00
Duration
3 Years

