#Sami-Licor-quality

This repository contains quality-checked LI-COR sensor data collected from both corn and soybean fields as part of the Farm Management Decision Support project under RTGS-Lab.

📄 Overview

The goal of this project is to visualize and assess the quality of ET (Evapotranspiration) data from multiple LI-COR sensors deployed across research plots. These measurements are crucial for evaluating sensors quality.

📁 Repository Structure

• corn/ — Raw CSV files for corn node ET data (LI-COR 43 and 37A)
• soybean/ — Raw CSV files for soybean node ET data (LI-COR 018 and 047)
• notebooks/ — Jupyter Notebook for time series plotting and data validation

📊 Summary of Observations

Corn (LI-COR 43 and 37A)

• Both sensors follow a generally consistent ET trend over time.
• Some data gaps and irregular values are present, likely due to sensor issues or logging interruptions.

Soybean (LI-COR 018 and 047)

• Both sensors show similar ET trends.
• Data gaps and fluctuations may be caused by sensor performance or collection issues.