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Determination of Pesticide Content in Sorghum Grains Using Hyperspectral Imaging Technology Combined with Stacked Machine Learning Models
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Pesticides Exposure and Dopaminergic Neurodegeneration
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Simultaneous determination of 79 pesticides in pigeonpea grains using GC–MS/MS and LC–MS/MS
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Rapid and nondestructive prediction of amylose and amylopectin contents in sorghum based on hyperspectral imaging
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Rapid method based on immunoassay for determination of paraquat residues in wheat, barley and potato
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Classification and adulteration of mengding mountain green tea varieties based on fluorescence hyperspectral image method
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Coupled retrieval of heavy metal nickel concentration in agricultural soil from spaceborne hyperspectral imagery
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Pesticide residues in propolis from Spain and Chile. An approach using near infrared spectroscopy
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Screening for pesticide residues in cocoa (Theobroma cacao L.) by portable infrared spectroscopy
inferredcites →https://doi.org/10.1080/10408398.2020.1852389openalex-extracted
Sorghum (Sorghum bicolor L.) as a potential source of bioactive substances and their biological properties
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CatBoost for RS Image Classification With Pseudo Label Support From Neighbor Patches-Based Clustering
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Sorghum Grain: From Genotype, Nutrition, and Phenolic Profile to Its Health Benefits and Food Applications
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A comparison of machine learning algorithms for mapping soil iron parameters indicative of pedogenic processes by hyperspectral imaging of intact soil profiles
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Visualizing distribution of pesticide residues in mulberry leaves using NIR hyperspectral imaging
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Determination of Pesticide Residues in Food Premises Using QuECHERS Method in Bench‐Sheko Zone, Southwest Ethiopia
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Comparative assessment of nutritional and functional properties of different sorghum genotypes for ensuring nutritional security in dryland agro-ecosystem
inferredcites →https://doi.org/10.3389/fpls.2022.1007150openalex-extracted
Predicting Fv/Fm and evaluating cotton drought tolerance using hyperspectral and 1D-CNN
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Rapid nondestructive detection of peanut varieties and peanut mildew based on hyperspectral imaging and stacked machine learning models
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Bagging and Boosting Ensemble Classifiers for Classification of Multispectral, Hyperspectral and PolSAR Data: A Comparative Evaluation
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Estimation of Soil Salinization by Machine Learning Algorithms in Different Arid Regions of Northwest China
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