A global dataset for assessing nitrogen-related plant traits using drone imagery in major field crop species

D Castilho, D Tedesco, C Hernandez, BE Madari… - Scientific Data, 2024 - nature.com
Enhancing rapid phenoty** for key plant traits, such as biomass and nitrogen content, is
critical for effectively monitoring crop growth and maximizing yield. Studies have explored …

Estimation of biochemical compounds in Tradescantia leaves using VIS-NIR-SWIR hyperspectral and chlorophyll a fluorescence sensors

R Falcioni, RB Oliveira, ML Chicati, WC Antunes… - Remote Sensing, 2024 - mdpi.com
An integrated approach that utilises hyperspectral and chlorophyll a fluorescence sensors to
predict biochemical and biophysical parameters represents a new generation of remote …

Reflectance spectroscopy for the classification and prediction of pigments in agronomic crops

R Falcioni, WC Antunes, JAM Demattê, MR Nanni - Plants, 2023 - mdpi.com
Reflectance spectroscopy, in combination with machine learning and artificial intelligence
algorithms, is an effective method for classifying and predicting pigments and phenoty** in …