viewspecpro software (Analytical Spectral Devices Inc)
90
Structured Review
Analytical Spectral Devices Inc
viewspecpro software
Viewspecpro Software, supplied by Analytical Spectral Devices Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/analytics+software/viewspecpro+software/pmc08707134-211-5-7
Average 90 stars, based on 1 article reviews
Viewspecpro Software, supplied by Analytical Spectral Devices Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/analytics+software/viewspecpro+software/pmc08707134-211-5-7
Average 90 stars, based on 1 article reviews
viewspecpro software - by Bioz Stars,
2026-09
90/100 stars
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Software:Article Title: Identification of visible and near-infrared signature peaks for arboviruses and Plasmodium falciparum. Article Snippet: .. Artificial neural network predictive analysis Reflectance spectra were converted to absorbance using the formular Log 1 R . All spectral sig- natures were converted from txt to csv in Article Title: Identification of visible and near-infrared signature peaks for arboviruses and Plasmodium Article Snippet: .. All spectral signatures were converted from txt to csv in Article Title: Identification of visible and near-infrared signature peaks for arboviruses and Plasmodium falciparum Article Snippet: .. Reflectance spectra were converted to absorbance using the formular Log 1 R . All spectral signatures were converted from txt to csv in Article Title: Utilizing VSWIR spectroscopy for macronutrient and micronutrient profiling in winter wheat Article Snippet: .. This resulting dataset was subjected to splice correction and subsequently exported as ASCII text files using Article Title: A non-destructive approach in proximal sensing to assess the performance distribution of SPAD prediction models using hyperspectral analysis in apricot trees Article Snippet: SPAD combined with hyperspectral sensors can be an alternative approach to traditional laboratory methods for determining the physiological status of trees.. The aim of this work was to assess whether the effectiveness of SPAD predictive models using hyperspectral data might be influenced by where the measurements were carried out.. Leaves of apricot trees of two varieties (Farbaly and Farlis) were analysed with SPAD and spectroradiometer, and the data were organized in two different ways: (i) overall dataset (OD), collecting total measurements of trees in each variety; (ii) subset of overall datasets (SOD), collecting the measurements performed on the cardinal points of trees in each variety. other:Article Title: Assessing the Leaf Blade Nutrient Status of Pinot Noir Using Hyperspectral Reflectance and Machine Learning Models Article Snippet: The remaining data were then exported as ASCII text files for each spectral measurement using Article Title: Machine learning as a tool to predict potassium concentration in soybean leaf using hyperspectral data Article Snippet: The soybean grain yield is affected by several factors, among them, the nutritional deficiency caused by low levels of potassium (K+) is one of the main responsible for the reduction in grain yield both in Brazil and worldwide.. Traditional methods of nutrient determination involve leaf collection and laboratory procedures with toxic reagents, which is a destructive, time-consuming, expensive, and environmentally unfriendly method.. In this context, the use of hyperspectral data and machine learning regression models can be a powerful tool in the nutritional diagnosis of plants. |