WW Spectral and Thermal Image Dataset: A Timeseries Winter Wheat Image Dataset Collected from an Automated IoT Highthroughput Phenotyping Platform

Overview This repository contains the spectral and thermal images of a winter wheat trial collected by an automated IoT high-throughput phenotyping system. This Raspberry Pi-based system captures daily, scheduled imagery collection (RGB, NoIR, FLIR Lepton thermal camera, and Melexis MLX90640 thermal array) and synchronizes all raw assets directly to remote cloud storage (Azure File Share). A total of 8 IoT nodes were installed in the field, covering 6 plots per node. There were total of 48 winter wheat plots in the trial. Dataset Content 1. all_vi_temp_weather_with_yield.csv This file includes all the extracted spectral data, vegetation indices calculated, canopy temperature, daily weather data, and agronomic traits, including grain yield for each plot. 2. Sample Image data folders for pi1 to pi7 nodes