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Rama Rao Nidamanuri

Showing results (1-10 of 12) with videos related to

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Scientific Reports|June 28, 2024
Deep learning-based prediction of plant height and crown area of vegetable crops using LiDAR point cloudReji J, Rama Rao Nidamanuri
Marine Pollution Bulletin|August 6, 2025
Water quality mapping using airborne and satellite hyperspectral imagery across the selected coastal waters of IndiaPunya P, Rama Rao Nidamanuri
Scientific Reports|March 6, 2025
Hyperspectral discrimination of vegetable crops grown under organic and conventional cultivation practices: a machine learning approachManoj Kaushik, Rama Rao Nidamanuri, B Aparna
Data in Brief|October 22, 2020
Multi-platform optical remote sensing dataset for target detectionSudhanshu Shekhar Jha, Manohar Kumar, Rama Rao Nidamanuri
Scientific Reports|October 28, 2025
Hyperspectral reflectance spectroscopy for rapid nondestructive microstructural evaluation of high strength internally cured concreteKastro Kiran V, Dhanya Sathyan, Rama Rao Nidamanuri
Environmental Monitoring and Assessment|November 21, 2023
Applications of remote sensing vis-à-vis machine learning in air quality monitoring and modelling: a reviewFaizan Tahir Bahadur, Shagoofta Rasool Shah, Rama Rao Nidamanuri
Environmental Monitoring and Assessment|July 17, 2020
Structure and composition of field margin vegetation in the rural-urban interface of Bengaluru, India: a case study on an unexplored dimension of agroecosystemsSunil Nautiyal, Mrinalini Goswami, Rama Rao Nidamanuri, et al.
Scientific Reports|October 22, 2024
Precision crop mapping: within plant canopy discrimination of crop and soil using multi-sensor hyperspectral imageryC V S S Manohar Kumar, Sudhanshu Shekhar Jha, Rama Rao Nidamanuri, et al.
Data in Brief|June 16, 2022
Multi-resolution terrestrial hyperspectral dataset for spectral unmixing problemsC V S S Manohar Kumar, Sudhanshu Shekhar Jha, Rama Rao Nidamanuri, et al.
Data in Brief|July 22, 2024
Ultra-high-resolution hyperspectral imagery datasets for precision agriculture applicationsVamshi Krishna Munipalle, Usha Rani Nelakuditi, Manohar Kumar C V S S, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Scientific Reports|June 28, 2024
Deep learning-based prediction of plant height and crown area of vegetable crops using LiDAR point cloudReji J, Rama Rao Nidamanuri
Marine Pollution Bulletin|August 6, 2025
Water quality mapping using airborne and satellite hyperspectral imagery across the selected coastal waters of IndiaPunya P, Rama Rao Nidamanuri
Scientific Reports|March 6, 2025
Hyperspectral discrimination of vegetable crops grown under organic and conventional cultivation practices: a machine learning approachManoj Kaushik, Rama Rao Nidamanuri, B Aparna
Data in Brief|October 22, 2020
Multi-platform optical remote sensing dataset for target detectionSudhanshu Shekhar Jha, Manohar Kumar, Rama Rao Nidamanuri
Scientific Reports|October 28, 2025
Hyperspectral reflectance spectroscopy for rapid nondestructive microstructural evaluation of high strength internally cured concreteKastro Kiran V, Dhanya Sathyan, Rama Rao Nidamanuri
Environmental Monitoring and Assessment|November 21, 2023
Applications of remote sensing vis-à-vis machine learning in air quality monitoring and modelling: a reviewFaizan Tahir Bahadur, Shagoofta Rasool Shah, Rama Rao Nidamanuri
Environmental Monitoring and Assessment|July 17, 2020
Structure and composition of field margin vegetation in the rural-urban interface of Bengaluru, India: a case study on an unexplored dimension of agroecosystemsSunil Nautiyal, Mrinalini Goswami, Rama Rao Nidamanuri, et al.
Scientific Reports|October 22, 2024
Precision crop mapping: within plant canopy discrimination of crop and soil using multi-sensor hyperspectral imageryC V S S Manohar Kumar, Sudhanshu Shekhar Jha, Rama Rao Nidamanuri, et al.
Data in Brief|June 16, 2022
Multi-resolution terrestrial hyperspectral dataset for spectral unmixing problemsC V S S Manohar Kumar, Sudhanshu Shekhar Jha, Rama Rao Nidamanuri, et al.
Data in Brief|July 22, 2024
Ultra-high-resolution hyperspectral imagery datasets for precision agriculture applicationsVamshi Krishna Munipalle, Usha Rani Nelakuditi, Manohar Kumar C V S S, et al.
Pageof 2