Wheat kernel moisture content (KMC) is accurately estimated (R2 > 0.85) based on spectral features from hyperspectral (350–2500 nm) data and satellite�...
In this experiment, the wheats from the same batch of grain reserve depot are used which have a moisture content of 12.5%. ...
Feb 1, 2024 � The study aims to expand the feasibility of spectroscopy to estimate wheat KMC at multi-scales. In addition to using ground hyperspectral�...
Strict limitation of wheat kernel moisture content (KMC) has been set during wheat trading, as it determines the quality, storage.
The study aims to expand the feasibility of spectroscopy to estimate wheat KMC at multi-scales. In addition to using ground hyperspectral reflectance for single�...
Dec 4, 2023 � TL;DR: Estimation of wheat kernel moisture content in-field based on PlanetScope and Sentinel-2 satellite images provides a novel and accurate�...
The NIR-HSI technology is a promising approach for predicting the protein, starch and moisture content of wheat flour effectively and accurately.
Apr 8, 2022 � This study is a comprehensive review of available N-related hyperspectral VIs and aims to inform the selection of VIs under field conditions.
This study aimed to evaluate strategies for estimating crop yield using multispectral (MS) and hyperspectral (HS) imagery derived from a UAV in single and�...
Sep 10, 2024 � This study explored the multispectral satellite imagery using in-situ ground-based hyperspectral reflectance phenology information as�...
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