Clay content prediction using spectra data collected from the ground to space platforms in a smallholder tropical area
Sign Up to like & getrecommendations! Published in 2021 at "Geoderma"
DOI: 10.1016/j.geoderma.2021.115116
Abstract: Abstract Proximal and remote sensors are emerging as powerful sources of soil spectral information at an array of temporal and spatial resolutions. This study investigated clay content prediction at three spectral acquisition levels: laboratory, airborne,… read more here.
Keywords: clay content; soil; prediction; content prediction ... See more keywords
Optimizing chlorophyll content prediction in tea leaves via spectral transformations and deep learning.
Sign Up to like & getrecommendations! Published in 2025 at "BMC plant biology"
DOI: 10.1186/s12870-025-07863-2
Abstract: Accurate estimation of chlorophyll contents from spectral reflectance is necessary for monitoring plant physiological status and for supporting precision agriculture. This study, which uses four machine learning models (1D Convolutional Neural Network (1D-CNN), Self-Supervised Learning… read more here.
Keywords: chlorophyll; prediction; tea leaves; chlorophyll content ... See more keywords
Granule Moisture Content Prediction During Fluid Bed Drying
Sign Up to like & getrecommendations! Published in 2025 at "AAPS PharmSciTech"
DOI: 10.1208/s12249-025-03207-3
Abstract: The quality attributes of pharmaceutical products have been affected by the duration of manufacturing processes; therefore, manufacturers use various endpoint determination approaches such as time- and property-defined endpoints. In this study, two methods were proposed… read more here.
Keywords: granule moisture; moisture; moisture content; content prediction ... See more keywords