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The use of Vis-NIR-SWIR spectroscopy in the prediction of soil available ions after application of rock powder

Information processing in agriculture, 2024-03, Vol.11 (1), p.26-44

2024

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A Novel Method for Estimating Chlorophyll and Carotenoid Concentrations in Leaves: A Two Hyperspectral Sensor Approach

Sensors (Basel, Switzerland), 2023-04, Vol.23 (8), p.3843

2023

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UAV-based thermal imaging in the assessment of water status of soybean plants

International journal of remote sensing, 2020-05, Vol.41 (9), p.3243-3265

2020

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Rapid quantification of alkaloids, sugar and yield of tobacco (Nicotiana tabacum L.) varieties by using Vis–NIR–SWIR spectroradiometry

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy, 2022-06, Vol.274, p.121082, Article 121082

2022

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Hyperspectral Data for Early Identification and Classification of Potassium Deficiency in Soybean Plants (Glycine max (L.) Merrill)

Remote sensing (Basel, Switzerland), 2024-06, Vol.16 (11), p.1900

2024

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Rapid Quantification Method for Yield, Calorimetric Energy and Chlorophyll a Fluorescence Parameters in Nicotiana tabacum L. Using Vis-NIR-SWIR Hyperspectroscopy

Plants (Basel), 2022-09, Vol.11 (18), p.2406

2022

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VIS-NIR-SWIR Hyperspectroscopy Combined with Data Mining and Machine Learning for Classification of Predicted Chemometrics of Green Lettuce

Remote sensing (Basel, Switzerland), 2022-12, Vol.14 (24), p.6330

2022

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Assessing the potential of using high spatial resolution daily NDVI-time-series from planet CubeSat images for crop monitoring

International journal of remote sensing, 2021-09, Vol.42 (18), p.7114-7142

2021

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Spectral Reflectance Methodology in Comparison to Traditional Soil Analysis

Soil Science Society of America journal, 2006-03, Vol.70 (2), p.393-407

2006

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Biophysical, Biochemical, and Photochemical Analyses Using Reflectance Hyperspectroscopy and Chlorophyll a Fluorescence Kinetics in Variegated Leaves

Biology (Basel, Switzerland), 2023-05, Vol.12 (5), p.704

2023

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Estimation of Biochemical Compounds in Tradescantia Leaves Using VIS-NIR-SWIR Hyperspectral and Chlorophyll a Fluorescence Sensors

Remote sensing (Basel, Switzerland), 2024-06, Vol.16 (11), p.1910

2024

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Assessment of Combined Reflectance, Transmittance, and Absorbance Hyperspectral Sensors for Prediction of Chlorophyll a Fluorescence Parameters

Remote sensing (Basel, Switzerland), 2023-10, Vol.15 (20), p.5067

2023

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Soybean varieties discrimination using non-imaging hyperspectral sensor

Infrared physics & technology, 2018-03, Vol.89, p.338-350

2018

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Using leaf-based hyperspectral reflectance for genotype classification within a soybean germplasm collection assessed under different levels of water availability

International journal of remote sensing, 2021-11, Vol.42 (21), p.8165-8184

2021

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Estimating Soil Organic Matter (SOM) Using Proximal Remote Sensing: Performance Evaluation of Prediction Models Adjusted at Local Scale in the Brazilian Cerrado

Remote sensing (Basel, Switzerland), 2023-09, Vol.15 (18), p.4397

2023

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Simple, Fast and Efficient Methods for Analysing the Structural, Ultrastructural and Cellular Components of the Cell Wall

Plants (Basel), 2022-04, Vol.11 (7), p.995

2022

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Classification of Soybean Genotypes Assessed Under Different Water Availability and at Different Phenological Stages Using Leaf-Based Hyperspectral Reflectance

Remote sensing (Basel, Switzerland), 2021-01, Vol.13 (2), p.172

2021

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Relationship Between Vegetation Indices, Nutrients Content, and the Biomass Production of Brachiaria (Brachiaria ruziziensis)

Communications in Soil Science and Plant Analysis, 2022-10, Vol.53 (18), p.2400-2419

2022

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Rapid Determination of Soil Horizons and Suborders Based on VIS-NIR-SWIR Spectroscopy and Machine Learning Models

Remote sensing (Basel, Switzerland), 2023-10, Vol.15 (19), p.4859

2023

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Spectral Method for Liming Recommendation in Oxisol Based on the Prediction of Chemical Characteristics Using Interval Partial Least Squares Regression

Remote sensing (Basel, Switzerland), 2022-05, Vol.14 (9), p.1972

2022

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Mapping Particle Size and Soil Organic Matter in Tropical Soil Based on Hyperspectral Imaging and Non-Imaging Sensors

Remote sensing (Basel, Switzerland), 2021-05, Vol.13 (9), p.1782

2021

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Reflectance Spectroscopy for the Classification and Prediction of Pigments in Agronomic Crops

Plants (Basel), 2023-06, Vol.12 (12), p.2347

2023

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Yield Prediction in Soybean Crop Grown under Different Levels of Water Availability Using Reflectance Spectroscopy and Partial Least Squares Regression

Remote sensing (Basel, Switzerland), 2021-03, Vol.13 (5), p.977

2021

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Hyperspectral and Chlorophyll Fluorescence Analyses of Comparative Leaf Surfaces Reveal Cellular Influences on Leaf Optical Properties in Tradescantia Plants

Cells (Basel, Switzerland), 2024-06, Vol.13 (11), p.952

2024

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Classification and Prediction by Pigment Content in Lettuce ( Lactuca sativa L.) Varieties Using Machine Learning and ATR-FTIR Spectroscopy

Plants (Basel), 2022-12, Vol.11 (24), p.3413

2022

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The use of Vis-NIR-SWIR spectroscopy in the prediction of soil available ions after application of rock powder

A Novel Method for Estimating Chlorophyll and Carotenoid Concentrations in Leaves: A Two Hyperspectral Sensor Approach

UAV-based thermal imaging in the assessment of water status of soybean plants

Rapid quantification of alkaloids, sugar and yield of tobacco (Nicotiana tabacum L.) varieties by using Vis–NIR–SWIR spectroradiometry

Hyperspectral Data for Early Identification and Classification of Potassium Deficiency in Soybean Plants (Glycine max (L.) Merrill)

Rapid Quantification Method for Yield, Calorimetric Energy and Chlorophyll a Fluorescence Parameters in Nicotiana tabacum L. Using Vis-NIR-SWIR Hyperspectroscopy

VIS-NIR-SWIR Hyperspectroscopy Combined with Data Mining and Machine Learning for Classification of Predicted Chemometrics of Green Lettuce

Assessing the potential of using high spatial resolution daily NDVI-time-series from planet CubeSat images for crop monitoring

Spectral Reflectance Methodology in Comparison to Traditional Soil Analysis

Biophysical, Biochemical, and Photochemical Analyses Using Reflectance Hyperspectroscopy and Chlorophyll a Fluorescence Kinetics in Variegated Leaves

Estimation of Biochemical Compounds in Tradescantia Leaves Using VIS-NIR-SWIR Hyperspectral and Chlorophyll a Fluorescence Sensors

Assessment of Combined Reflectance, Transmittance, and Absorbance Hyperspectral Sensors for Prediction of Chlorophyll a Fluorescence Parameters

Soybean varieties discrimination using non-imaging hyperspectral sensor

Using leaf-based hyperspectral reflectance for genotype classification within a soybean germplasm collection assessed under different levels of water availability

Estimating Soil Organic Matter (SOM) Using Proximal Remote Sensing: Performance Evaluation of Prediction Models Adjusted at Local Scale in the Brazilian Cerrado

Simple, Fast and Efficient Methods for Analysing the Structural, Ultrastructural and Cellular Components of the Cell Wall

Classification of Soybean Genotypes Assessed Under Different Water Availability and at Different Phenological Stages Using Leaf-Based Hyperspectral Reflectance

Relationship Between Vegetation Indices, Nutrients Content, and the Biomass Production of Brachiaria (Brachiaria ruziziensis)

Rapid Determination of Soil Horizons and Suborders Based on VIS-NIR-SWIR Spectroscopy and Machine Learning Models

Spectral Method for Liming Recommendation in Oxisol Based on the Prediction of Chemical Characteristics Using Interval Partial Least Squares Regression

Mapping Particle Size and Soil Organic Matter in Tropical Soil Based on Hyperspectral Imaging and Non-Imaging Sensors

Reflectance Spectroscopy for the Classification and Prediction of Pigments in Agronomic Crops

Yield Prediction in Soybean Crop Grown under Different Levels of Water Availability Using Reflectance Spectroscopy and Partial Least Squares Regression

Hyperspectral and Chlorophyll Fluorescence Analyses of Comparative Leaf Surfaces Reveal Cellular Influences on Leaf Optical Properties in Tradescantia Plants

Classification and Prediction by Pigment Content in Lettuce ( Lactuca sativa L.) Varieties Using Machine Learning and ATR-FTIR Spectroscopy

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