Grass Nutrient and Height Estimation Using Satellite Imagery
BACKLOG
Updated: Wed Jan 01 2025 00:00:00 GMT+0000 (Coordinated Universal Time) | Started: Wed Jan 01 2025 00:00:00 GMT+0000 (Coordinated Universal Time)
Extension of satellite based paddock monitoring to estimate grass height and nutrient indicators using machine learning.
Notes
Overview
This project extends earlier satellite based monitoring work to derive richer agronomic insights.
Description
The aim is to estimate grass height and nutrient related indicators from satellite imagery, building on known relationships between vegetation indices, moisture, and growth patterns.
The project is currently conceptual and would require careful calibration with ground truth data to be practically useful.
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