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Enhancement of Soil quality by efficient designing of vermicomposting agricultural- waste & recommend suitable crop using machine learning models

Innovator Details

Innovator
Dr. Tarak Mondal

About

The main aim of proposed investigation is to design and monitoring of an efficient vermicomposting technology using cow dung as a bulking agent and agricultural wastes as an organic source with an improvement in aeration rate, moisture content, uniformity of the composting, growth rate of earthworms, and production rate. Monitoring the quality of the soil after vermicomposting and then develop a crop and fertilizer recommendation interface using machine learning models and finally, scaling up the overall process will also be investigated in this study.
Funding Organization
Funding Organization
Department of Science and Technology (DST)
Quick Information
TRL: Technology Readiness Level
3
TIH Name
iHub Awadh, IIT Ropar
Status
ongoing
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