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Optimizing the Retrieval of Wheat Crop Traits from UAV-Borne Hyperspectral Image with Radiative Transfer Modelling Using Gaussian Process Regression

Remote sensing (Basel, Switzerland), 2023-12, Vol.15 (23), p.5496

2023

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Spectral characterization and severity assessment of rice blast disease using univariate and multivariate models

Frontiers in plant science, 2023-02, Vol.14, p.1067189

2023

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Assessing rice blast disease severity through hyperspectral remote sensing

Journal of agrometeorology, 2022-09, Vol.24 (3), p.241-248

2022

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Spectroscopy based novel spectral indices, PCA- and PLSR-coupled machine learning models for salinity stress phenotyping of rice

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy, 2020-03, Vol.229, p.117983, Article 117983

2020

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Evaluation of different water absorption bands, indices and multivariate models for water-deficit stress monitoring in rice using visible-near infrared spectroscopy

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy, 2021-02, Vol.247, p.119104, Article 119104

2021

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Monitoring cropland LAI using Gaussian Process Regression and sentinel - 2 surface reflectance data in Google Earth Engine

International journal of remote sensing, 2024-08, Vol.45 (15), p.5008-5027

2024

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Quantitative monitoring of sucrose, reducing sugar and total sugar dynamics for phenotyping of water-deficit stress tolerance in rice through spectroscopy and chemometrics

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy, 2018-03, Vol.192, p.41-51

2018

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Monitoring the Foliar Nutrients Status of Mango Using Spectroscopy-Based Spectral Indices and PLSR-Combined Machine Learning Models

Remote sensing (Basel, Switzerland), 2021-02, Vol.13 (4), p.641

2021

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Drone remote sensing of wheat N using hyperspectral sensor and machine learning

Precision agriculture, 2024-04, Vol.25 (2), p.704-728

2024

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Assessment of plant nitrogen stress in wheat (Triticum aestivum L.) through hyperspectral indices

International journal of remote sensing, 2012-10, Vol.33 (20), p.6342-6360

2012

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Comparative Evaluation of Inversion Approaches of the Radiative Transfer Model for Estimation of Crop Biophysical Parameters

International Agrophysics, 2015-04, Vol.29 (2), p.201-212

2015

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High-throughput chlorophyll fluorescence image-based phenotyping for water deficit stress tolerance in wheat

Plant Physiology Reports, 2024, Vol.29 (2), p.278-293

2024

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Hyperspectral satellite data analysis for pure pixels extraction and evaluation of advanced classifier algorithms for LULC classification

Earth science informatics, 2018-06, Vol.11 (2), p.159-170

2018

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Comparison of various modelling approaches for water deficit stress monitoring in rice crop through hyperspectral remote sensing

Agricultural water management, 2019-03, Vol.213, p.231-244

2019

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Comparison of different uni- and multi-variate techniques for monitoring leaf water status as an indicator of water-deficit stress in wheat through spectroscopy

Biosystems engineering, 2017-08, Vol.160, p.69-83

2017

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Application of thermal imaging and hyperspectral remote sensing for crop water deficit stress monitoring

Geocarto international, 2021-03, Vol.36 (5), p.481-498

2021

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Estimation of wheat biophysical variables through UAV hyperspectral remote sensing using machine learning and radiative transfer models

Computers and electronics in agriculture, 2024-06, Vol.221, p.108942, Article 108942

2024

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UAV-Based Retrieval Of Wheat Canopy Chlorophyll Content Using A Hybrid Machine Learning Approach

2023 IEEE India Geoscience and Remote Sensing Symposium (InGARSS), 2023, p.1-4

2023

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Unmanned Aerial Vehicle (UAV)–Based Imaging Spectroscopy for Predicting Wheat Leaf Nitrogen

Photogrammetric engineering and remote sensing, 2023-02, Vol.89 (2), p.107-116

2023

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Comparative analysis of index and chemometric techniques-based assessment of leaf area index (LAI) in wheat through field spectroradiometer, Landsat-8, Sentinel-2 and Hyperion bands

Geocarto international, 2020-10, Vol.35 (13), p.1415-1432

2020

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Discrimination of rice genotypes using field spectroradiometry

Geocarto international, 2020-01, Vol.35 (1), p.64-77

2020

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Phenomics: unlocking the hidden genetic variation for breaking the barriers in yield and stress tolerance

Indian Journal of Plant Physiology, 2016-12, Vol.21 (4), p.409-419

2016

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Resource Management Domains of Kharif and Rabi Season Fallows in Central Plateau Region of India: A Strategy for Accelerated Agricultural Development

Journal of Agronomy Research, 2019-06, Vol.2 (1), p.47-62

2019

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VIS-NIR REFLECTANCE SPECTROSCOPY FOR ASSESSMENT OF SOIL ORGANIC CARBON IN A RICE-WHEAT FIELD OF LUDHIANA DISTRICT OF PUNJAB

International archives of the photogrammetry, remote sensing and spatial information sciences., 2019, Vol.XLII-3/W6, p.417-422

2019

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Inversion of PROSAIL Model for Retrieval of Plant Biophysical Parameters

Journal of the Indian Society of Remote Sensing, 2012-03, Vol.40 (1), p.19-28

2012

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Optimizing the Retrieval of Wheat Crop Traits from UAV-Borne Hyperspectral Image with Radiative Transfer Modelling Using Gaussian Process Regression

Spectral characterization and severity assessment of rice blast disease using univariate and multivariate models

Assessing rice blast disease severity through hyperspectral remote sensing

Spectroscopy based novel spectral indices, PCA- and PLSR-coupled machine learning models for salinity stress phenotyping of rice

Evaluation of different water absorption bands, indices and multivariate models for water-deficit stress monitoring in rice using visible-near infrared spectroscopy

Monitoring cropland LAI using Gaussian Process Regression and sentinel - 2 surface reflectance data in Google Earth Engine

Quantitative monitoring of sucrose, reducing sugar and total sugar dynamics for phenotyping of water-deficit stress tolerance in rice through spectroscopy and chemometrics

Monitoring the Foliar Nutrients Status of Mango Using Spectroscopy-Based Spectral Indices and PLSR-Combined Machine Learning Models

Drone remote sensing of wheat N using hyperspectral sensor and machine learning

Assessment of plant nitrogen stress in wheat (Triticum aestivum L.) through hyperspectral indices

Comparative Evaluation of Inversion Approaches of the Radiative Transfer Model for Estimation of Crop Biophysical Parameters

High-throughput chlorophyll fluorescence image-based phenotyping for water deficit stress tolerance in wheat

Hyperspectral satellite data analysis for pure pixels extraction and evaluation of advanced classifier algorithms for LULC classification

Comparison of various modelling approaches for water deficit stress monitoring in rice crop through hyperspectral remote sensing

Comparison of different uni- and multi-variate techniques for monitoring leaf water status as an indicator of water-deficit stress in wheat through spectroscopy

Application of thermal imaging and hyperspectral remote sensing for crop water deficit stress monitoring

Estimation of wheat biophysical variables through UAV hyperspectral remote sensing using machine learning and radiative transfer models

UAV-Based Retrieval Of Wheat Canopy Chlorophyll Content Using A Hybrid Machine Learning Approach

Unmanned Aerial Vehicle (UAV)–Based Imaging Spectroscopy for Predicting Wheat Leaf Nitrogen

Comparative analysis of index and chemometric techniques-based assessment of leaf area index (LAI) in wheat through field spectroradiometer, Landsat-8, Sentinel-2 and Hyperion bands

Discrimination of rice genotypes using field spectroradiometry

Phenomics: unlocking the hidden genetic variation for breaking the barriers in yield and stress tolerance

Resource Management Domains of Kharif and Rabi Season Fallows in Central Plateau Region of India: A Strategy for Accelerated Agricultural Development

VIS-NIR REFLECTANCE SPECTROSCOPY FOR ASSESSMENT OF SOIL ORGANIC CARBON IN A RICE-WHEAT FIELD OF LUDHIANA DISTRICT OF PUNJAB

Inversion of PROSAIL Model for Retrieval of Plant Biophysical Parameters

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