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Academic Innovations

An Integrated NavIC Reflectometry Approach for Soil Moisture Estimation, Crop Health and Height Monitoring using NavIC-IR Multipath Signals and Deep Learning Algorithms

Innovator Details

Innovator
Dr. Jagannath Malik
Co-Developer / Co-Innovator
Dr. Ramesh Patel Dr. Somanath Pradhan

About

This product is an integrated framework that combines NavIC-IR multipath signal analysis with vegetation-specific modeling to enhance soil moisture estimation and crop condition assessment. Key components include data pre-processing, vegetation segmentation, multipath signal analysis, machine learning modeling, and field validation. By leveraging NavIC-IR signals alongside vegetation analysis, the system delivers actionable insights for precision agriculture, water management, and ecosystem monitoring.
Funding Organization
Funding Organization
Department of Science and Technology (DST)
Quick Information
TRL: Technology Readiness Level
2
TIH Name
IITTNIF (National Innovation Foundation)
Status
ongoing
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