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Predictive Quantitative Read-Across Structure–Property Relationship Modeling of the Retention Time (Log tR) of Pesticide Residues Present in Foods and …
The retention time (log t R) of pesticidal compounds in a reverse-phase high-performance
liquid chromatography (HPLC) analysis has a direct relationship with lipophilicity, which …
liquid chromatography (HPLC) analysis has a direct relationship with lipophilicity, which …
A novel method for estimating chlorophyll and carotenoid concentrations in leaves: A two hyperspectral sensor approach
Leaf optical properties can be used to identify environmental conditions, the effect of light
intensities, plant hormone levels, pigment concentrations, and cellular structures. However …
intensities, plant hormone levels, pigment concentrations, and cellular structures. However …
Prediction of leaf nitrogen in sugarcane (Saccharum spp.) by Vis-NIR-SWIR spectroradiometry
Nitrogen is one of the essential nutrients for the production of agricultural crops, participating
in a complex interaction among soil, plant and the atmosphere. Therefore, its monitoring is …
in a complex interaction among soil, plant and the atmosphere. Therefore, its monitoring is …
Quantitative read-across structure-activity relationship (q-RASAR): a new approach methodology to model aquatic toxicity of organic pesticides against different fish …
We have developed quantitative toxicity prediction models for organic pesticides of
agricultural importance considering different fish species using a novel quantitative Read …
agricultural importance considering different fish species using a novel quantitative Read …
Enhancing pigment phenoty** and classification in lettuce through the integration of reflectance spectroscopy and AI algorithms
R Falcioni, JVF Gonçalves, KM Oliveira, CA Oliveira… - Plants, 2023 - mdpi.com
In this study, we investigated the use of artificial intelligence algorithms (AIAs) in
combination with VIS-NIR-SWIR hyperspectroscopy for the classification of eleven lettuce …
combination with VIS-NIR-SWIR hyperspectroscopy for the classification of eleven lettuce …
Non− invasive assessment, classification, and prediction of biophysical parameters using reflectance hyperspectroscopy
Hyperspectral technology offers significant potential for non-invasive monitoring and
prediction of morphological parameters in plants. In this study, UV− VIS− NIR− SWIR …
prediction of morphological parameters in plants. In this study, UV− VIS− NIR− SWIR …
[HTML][HTML] Rapid prediction of nutrient concentration in citrus leaves using Vis-NIR spectroscopy
The nutritional diagnosis of crops is carried out through costly foliar ionomic analysis in
laboratories. However, spectroscopy is a sensing technique that could replace these …
laboratories. However, spectroscopy is a sensing technique that could replace these …
Quantitative analysis of soil potassium by near-infrared (NIR) spectroscopy combined with a three-step progressive hybrid variable selection strategy
X Du, H Chen, J ** rational fertilization plans and optimizing …
A brief history of remote sensing of soybean
The last 20 years have been a period of significant advancement in the tools available for
remote sensing of soybean [Glycine max (L.) Merr.] in terms of price, ease of use, quality of …
remote sensing of soybean [Glycine max (L.) Merr.] in terms of price, ease of use, quality of …
Discrimination of the Specific Gravity of Urine Using Spectrophotometry by the Parallel Connection of Two Modified Feature Selection Methods
C Yang, Z Cai, Q Li, F Tang, J Wu, J Yang… - Analytical …, 2024 - Taylor & Francis
Spectroscopy has become prominent in medical surveillance due to its low cost, speed, and
nondestructive testing. However, the issue of class unbalance in medical data causes …
nondestructive testing. However, the issue of class unbalance in medical data causes …