Agricultural plant hyperspectral imaging dataset

Detailed automated analysis of crop images is critical to the development smart agriculture and can significantly improve quantity quality agricultural products. A hyperspectral camera potentially allows extract more information about observed object than a conventional one, so its use help in solving problems that are difficult solve with methods. Often, predictive models such require large dataset for training. However, sufficiently datasets plants not currently publicly available. Therefore, we present new this paper. This be accessed via URL https://pypi.org/project/HSI-Dataset-API/. It contains 385 spatial resolution 512 by pixels spectral 237 bands. The were captured summer 2021 Samara Novocherkassk (Russia) using Offner based Imaging Hyperspectrometer our own production. article demonstrates work some basic approaches states further solving.