Image Dataset of Multiple Plant Species Under Different Lighting Modes of Plant Growth Lamps

This dataset is developed for plant factory agriculture scenarios to support research related to the intelligent operation of such factories. As an efficient agricultural model, plant factories enhance crop production efficiency through vertical farming and precise environmental control, and can address global challenges like population growth and arable land scarcity. LEDs have become the mainstream light source in these factories due to their low power consumption and narrow spectral output; however, the red-blue light they consistently use causes significant color distortion in plant images. This reduces the accuracy of machine vision in tasks such as crop physiological monitoring, pest and disease detection, and other AI-driven work, hindering the intelligent upgrading of factories. Currently, most vision-based plant research relies on images captured under white light. Therefore, restoring color-distorted images from specific light sources (e.g., plant growth lamps) to a white-light equivalent state is a key requirement for the intelligent operation of plant factories—and this dataset is constructed to meet this need, serving the development and verification of plant image color correction algorithms.