On-The-Go VIS + SW – NIR Spectroscopy as a Reliable Monitoring Tool for Grape Composition within the Vineyard
Spectral filter design based on in-field hyperspectral imaging and machine learning for mango ripeness estimation
Development and validation of a new methodology to assess the vineyard water status by on-the-go near infrared spectroscopy
In field quantification and discrimination of different vineyard water regimes by on-the-go NIR spectroscopy
On-the-go hyperspectral imaging for the in-field estimation of grape berry soluble solids and anthocyanin concentration
On-the-go hyperspectral imaging under field conditions and machine learning for the classification of grapevine varieties
