harelab-ucsc/ApsimX

AI Summary: The task involves developing a programmatic method within the ApsimX framework (specifically the OASIS modification) to set the initial volumetric water content (VWC) for each layer of a `Field` node. This method should utilize initial sensor readings from a given farm and improve upon existing linear interpolation techniques. The solution needs to be compatible with the OASIS server/Python client architecture and adhere to ApsimX's licensing and contribution guidelines.

AI Summary: Create a Python script that converts WGS84 coordinates (latitude and longitude) from a CSV file to UTM coordinates. The script should take a CSV file as input with columns for latitude, longitude, and a label, and output a list of labels and their corresponding UTM coordinates.

AI Summary: Convert XLSX files containing UCSC Haybarn Field sensor data into separate JSON files for each sensor. This is part of the OASIS project, an extension of the APSIM agricultural modeling framework to a 3D voxelized representation.