Data for: Deep-learning-based regression model and hyperspectral imaging for rapid detection of nitrogen concentration in oilseed rape (Brassica napus L.) leaf

Published: 29-12-2017| Version 1 | DOI: 10.17632/syxf4m86gk.1
Contributors:
Xinjie Yu,
Huanda Lu,
Qiyu Liu

Description

(1)SAE-FNNtrain.py #Pre-train SAE model and fine-tune SAE-FNN model; (2)SAE-FNNpredict.py #Use the trained SAE-FNN regression model to get calibration and prediction results of the N concentration; (3)data\Meanspectra.csv #192 mean spectra of leaf samples in calibration and prediction set; (4)data\train_pixels\ #102528 pixel spectra obtained from ROI images.