☆ 4.7 Article

Effects of fine grinding on mid-infrared spectroscopic analysis of plant leaf nutrient content

SCIENTIFIC REPORTS (2023)

Related references

Note: Only part of the references are listed.

Article Plant Sciences

A leaf-level spectral library to support high-throughput plant phenotyping: predictive accuracy and model transfer

Nuwan K. Wijewardane et al.

Summary: A spectral library of maize and sorghum is developed to estimate leaf properties and is effective in predictions for soybean and camelina using extra-weighted spiking. Leaf-level hyperspectral reflectance is an effective tool in plant leaf phenotyping. However, model transferability among different datasets is poor. This study aims to assemble a large leaf hyperspectral library, evaluate machine-learning approaches to estimate leaf properties, and investigate the usefulness of the library for predicting external datasets.

JOURNAL OF EXPERIMENTAL BOTANY (2023)

Add to Collection

Article Plant Sciences

Fourier transform infrared spectral features of plant biomass components during cotton organ development and their biological implications

He Zhongqi et al.

Summary: This study analyzed the ATR FT-IR spectral features of various cotton tissues/organs and identified six prominent bands representing different chemical components. The results showed that ATR FT-IR spectroscopy is a powerful tool for monitoring changes in the major chemical components of cotton tissues throughout the growth period. It has great potential in physiological, biochemical, and morphological research related to cotton biology and development.

JOURNAL OF COTTON RESEARCH (2022)

Add to Collection

Review Food Science & Technology

Authentication and Quality Assessment of Meat Products by Fourier-Transform Infrared (FTIR) Spectroscopy

Kezban Candogan et al.

Summary: Food safety is increasingly important, especially in the meat and meat products industry, where reliable assessment techniques such as FTIR spectroscopy coupled with chemometrics are used for quality control, safety assessment, and authentication purposes.

FOOD ENGINEERING REVIEWS (2021)

Add to Collection

Article Agronomy

Developing functional relationships between temperature and cover crop species vegetative growth and development

Jay W. Munyon et al.

Summary: Different cover crop species have varied responses to temperature in terms of growth and development, with differences in biomass partitioning between shoot and root. This study can assist growers in selecting cover crop mixes for planting in similar temperature ranges during fallow periods. The cardinal temperatures and functional algorithms identified in this study can be used to develop models for cover crops under different temperature conditions.

AGRONOMY JOURNAL (2021)

Add to Collection

Article Multidisciplinary Sciences

Rapid and cost-effective nutrient content analysis of cotton leaves using near-infrared spectroscopy (NIRS)

Jeremy Aditya Prananto et al.

Summary: The development of portable NIRS combined with smartphone cloud-based chemometrics has enhanced real-time crop nutrient analysis capabilities. NIRS demonstrated high accuracy in predicting essential macronutrients and most micronutrients, especially when applied on dried and ground leaf samples. The study suggests that NIRS can be a practical and accurate tool for field estimations of cotton nutrients, improving farmers' ability to manage nutrients effectively.

PEERJ (2021)

Add to Collection

Article Plant Sciences

Developing Functional Relationships between Soil Waterlogging and Corn Shoot and Root Growth and Development

Charles Hunt Walne et al.

Summary: The increasing duration of waterlogging has significant impacts on corn plants, leading to decreases in whole-plant dry weight, leaf area, and root volume, while leaf number and plant height are less affected. Root forks are the most sensitive parameter after prolonged waterlogging, declining by a substantial percentage in both experiments.

PLANTS-BASEL (2021)

Add to Collection

Article Soil Science

Fine grinding is needed to maintain the high accuracy of mid-infrared diffuse reflectance spectroscopy for soil property estimation

Nuwan K. Wijewardane et al.

Summary: This study focused on investigating the necessity of fine grinding in mid-infrared diffuse reflectance (MIR) soil spectroscopy and comparing model performance with and without fine grinding for eight soil properties using different modeling techniques. The results showed that fine grinding is important for ensuring the best MIR spectroscopic model performance.

SOIL SCIENCE SOCIETY OF AMERICA JOURNAL (2021)

Add to Collection

Article Agronomy

Application of infrared spectroscopy for estimation of concentrations of macro- and micronutrients in rice in sub-Saharan Africa

Jean-Martial Johnson et al.

Summary: The determination of nutrient concentrations in plants is crucial for crop management and environmental sustainability. In this study, NIR-MIR diffuse reflectance spectroscopy showed promising accuracy in predicting a variety of macronutrient and micronutrient concentrations in rice plants. Variations in nutrient concentrations in rice plants were influenced by agro-ecological zones and production systems.

FIELD CROPS RESEARCH (2021)

Add to Collection

Article Agronomy

Organic Matter and Mineral Composition of Silicate Soils: FTIR Comparison Study by Photoacoustic, Diffuse Reflectance, and Attenuated Total Reflection Modalities

Dmitry S. Volkov et al.

Summary: This study compared the qualitative analysis abilities of photoacoustic, diffuse reflectance, and attenuated total reflection FTIR modalities on silicate soil samples under the same conditions. It was found that DRIFT provided the most bands, ATR-FTIR showed good sensitivity for soil water and matrix, and FTIR-PAS was most sensitive to absorption bands not seen in DRIFT or ATR-IR spectra.

AGRONOMY-BASEL (2021)

Add to Collection

Article Agronomy

Developing functional relationships between sesame growth, development, and nitrogen nutrition during early season

Akanksha Sehgal et al.

Summary: This study found that leaf nitrogen content plays a crucial role in the growth and development of sesame, particularly in leaf area expansion and root growth traits. The most sensitive growth indicators to nitrogen limitation were leaf dry weight and root/shoot ratio increase.

AGROSYSTEMS GEOSCIENCES & ENVIRONMENT (2021)

Add to Collection

Article Horticulture

Determination of total nitrogen content in fresh leaves and leaf powder of Dendrobium orchids using near-infrared spectroscopy

Supasuta Karoojee et al.

Summary: This study successfully developed a prediction model for nitrogen content in the leaf of Dendrobium orchids using NIRS technology, which is important for monitoring plant health. The results showed high accuracy and reliability of NIRS in predicting nitrogen in leaf powder, especially in external validation, indicating its practical value in monitoring the nitrogen status in orchids.

HORTICULTURE ENVIRONMENT AND BIOTECHNOLOGY (2021)

Add to Collection

Article Environmental Sciences

Three different Fourier-transform mid-infrared sampling techniques to characterize bio-organic samples

Georgios Bekiaris et al.

JOURNAL OF ENVIRONMENTAL QUALITY (2020)

Add to Collection

Article Soil Science

Grinding and spectra replication often improves mid-DRIFTS predictions of soil properties

Leonardo Deiss et al.

SOIL SCIENCE SOCIETY OF AMERICA JOURNAL (2020)

Add to Collection

Article Soil Science

Improvement in spectral library-based quantification of soil properties using representative spiking and local calibration - The case of soil inorganic carbon prediction by mid-infrared spectroscopy

Bernard G. Barthes et al.

GEODERMA (2020)

Add to Collection

Article Chemistry, Analytical

Non-destructive Phenotyping of Chili Pepper Ripening Using Spectroscopic Probes: A Potential Approach for Shelf-Life Measurement

Sweta Sharma et al.

ANALYTICAL LETTERS (2019)

Add to Collection

Article Biochemical Research Methods

High-throughput analysis of leaf physiological and chemical traits with VIS-NIR-SWIR spectroscopy: a case study with a maize diversity panel

Yufeng Ge et al.

PLANT METHODS (2019)

Add to Collection

Article Soil Science

Accurate and Precise Prediction of Soil Properties from a Large Mid-Infrared Spectral Library

Shree R. S. Dangal et al.

SOIL SYSTEMS (2019)

Add to Collection

Article Chemistry, Applied

NIR spectroscopy for the quality control of Moringa oleifera (Lam.) leaf powders: Prediction of minerals, protein and moisture contents

Catherine Rebufa et al.

FOOD CHEMISTRY (2018)

Add to Collection

Article Chemistry, Analytical

Near-infrared spectroscopy and X-ray fluorescence data fusion for olive leaf analysis and crop nutritional status determination

F. Comino et al.

TALANTA (2018)

Add to Collection

Review Biochemistry & Molecular Biology

A Review of Mid-Infrared and Near-Infrared Imaging: Principles, Concepts and Applications in Plant Tissue Analysis

Sevgi Turker-Kaya et al.

MOLECULES (2017)

Add to Collection

Article Chemistry, Analytical

Spectrochemical analysis of sycamore (Acer pseudoplatanus) leaves for environmental health monitoring

James Ord et al.

ANALYST (2016)

Add to Collection

Article Soil Science

How does grinding affect the mid-infrared spectra of soil and their multivariate calibrations to texture and organic carbon?

F. Le Guillou et al.

SOIL RESEARCH (2015)

Add to Collection

Article Soil Science

Mid-infrared attenuated total reflectance spectroscopy for soil carbon and particle size determination

Yufeng Ge et al.

GEODERMA (2014)

Add to Collection

Article Environmental Sciences

Characterization of Organic Matter in Beef Feedyard Manure by Ultraviolet-Visible and Fourier Transform Infrared Spectroscopies

Heidi M. Waldrip et al.

JOURNAL OF ENVIRONMENTAL QUALITY (2014)

Add to Collection

Article Agronomy

Quantification and FTIR characterization of dissolved organic carbon and total dissolved nitrogen leached from litter: a comparison of methods across litter types

Jennifer L. Soong et al.

PLANT AND SOIL (2014)

Add to Collection

Article Chemistry, Analytical

Visible/Near Infrared Spectroscopy and Chemometrics for the Prediction of Trace Element (Fe and Zn) Levels in Rice Leaf

Yongni Shao et al.

SENSORS (2013)

Add to Collection

Article Soil Science

Sample preparation and selection for qualitative and quantitative analyses of soil organic carbon with mid-infrared reflectance spectroscopy

B. Stumpe et al.

EUROPEAN JOURNAL OF SOIL SCIENCE (2011)

Add to Collection

Article Mathematics, Applied

Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions

N. Halko et al.

SIAM REVIEW (2011)

Add to Collection

Article Geochemistry & Geophysics

The potential of mid- and near-infrared diffuse reflectance spectroscopy for determining major- and trace-element concentrations in soils from a geochemical survey of North America

James B. Reeves et al.

APPLIED GEOCHEMISTRY (2009)

Add to Collection

Article Agricultural Engineering

Nitrate determination in soil pastes using attenuated total reflectance mid-infrared spectroscopy:: Improved accuracy via soil identification

R. Linker et al.

BIOSYSTEMS ENGINEERING (2006)

Add to Collection

Article Forestry

Quantitative reflectance spectroscopy as an alternative to traditional wet lab analysis of foliar chemistry: near-infrared and mid-infrared calibrations compared

AD Richardson et al.

CANADIAN JOURNAL OF FOREST RESEARCH-REVUE CANADIENNE DE RECHERCHE FORESTIERE (2005)

Add to Collection

Article Spectroscopy

Mid- and near-infrared spectroscopic determination of carbon in a diverse set of soils from the Brazilian National Soil Collection

BE Madari et al.

SPECTROSCOPY LETTERS (2005)

Add to Collection

Article Agriculture, Multidisciplinary

Mid-infrared diffuse reflectance spectroscopy for the quantitative analysis of agricultural soils

JB Reeves et al.

JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY (2001)

Add to Collection

© Peeref 2019-2024. All rights reserved.