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Iscience
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April 10, 2024
Linel2D-Net: A deep learning approach to solving 2D linear elastic boundary value problems on image domains
Anto Nivin Maria Antony, Narendra Narisetti, Evgeny Gladilin
Scientific Reports
|
June 5, 2023
FDM data driven U-Net as a 2D Laplace PINN solver
Anto Nivin Maria Antony, Narendra Narisetti, Evgeny Gladilin
Frontiers in Plant Science
|
July 14, 2020
Automated Spike Detection in Diverse European Wheat Plants Using Textural Features and the Frangi Filter in 2D Greenhouse Images
Narendra Narisetti, Kerstin Neumann, Marion S Röder, et al.
Frontiers in Plant Science
|
August 1, 2022
Deep Learning Based Greenhouse Image Segmentation and Shoot Phenotyping (DeepShoot)
Narendra Narisetti, Michael Henke, Kerstin Neumann, et al.
Plant Methods
|
October 4, 2025
Automated generation of ground truth images of greenhouse-grown plant shoots using a GAN approach
Sajid Ullah, Narendra Narisetti, Kerstin Neumann, et al.
Plants (Basel, Switzerland)
|
March 28, 2026
Diversity of Root System Architecture in Mediterranean Maize Inbred Lines Provides New Breeding Opportunities to Improve Stress Resilience and Resource Efficiency
Rongli Shi, Dominic Knoch, Ana López-Malvar, et al.
Plant Phenomics (Washington, D.C.)
|
January 18, 2024
Awn Image Analysis and Phenotyping Using BarbNet
Narendra Narisetti, Muhammad Awais, Muhammad Khan, et al.
Sensors (Basel, Switzerland)
|
November 27, 2021
Towards Automated Analysis of Grain Spikes in Greenhouse Images Using Neural Network Approaches: A Comparative Investigation of Six Methods
Sajid Ullah, Michael Henke, Narendra Narisetti, et al.
Scientific Reports
|
August 7, 2021
Fully-automated root image analysis (faRIA)
Narendra Narisetti, Michael Henke, Christiane Seiler, et al.
Scientific Reports
|
December 25, 2019
Semi-automated Root Image Analysis (saRIA)
Narendra Narisetti, Michael Henke, Christiane Seiler, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 10) with videos related to
Sort By:
Page
of 1
Iscience
|
April 10, 2024
Linel2D-Net: A deep learning approach to solving 2D linear elastic boundary value problems on image domains
Anto Nivin Maria Antony, Narendra Narisetti, Evgeny Gladilin
Scientific Reports
|
June 5, 2023
FDM data driven U-Net as a 2D Laplace PINN solver
Anto Nivin Maria Antony, Narendra Narisetti, Evgeny Gladilin
Frontiers in Plant Science
|
July 14, 2020
Automated Spike Detection in Diverse European Wheat Plants Using Textural Features and the Frangi Filter in 2D Greenhouse Images
Narendra Narisetti, Kerstin Neumann, Marion S Röder, et al.
Frontiers in Plant Science
|
August 1, 2022
Deep Learning Based Greenhouse Image Segmentation and Shoot Phenotyping (DeepShoot)
Narendra Narisetti, Michael Henke, Kerstin Neumann, et al.
Plant Methods
|
October 4, 2025
Automated generation of ground truth images of greenhouse-grown plant shoots using a GAN approach
Sajid Ullah, Narendra Narisetti, Kerstin Neumann, et al.
Plants (Basel, Switzerland)
|
March 28, 2026
Diversity of Root System Architecture in Mediterranean Maize Inbred Lines Provides New Breeding Opportunities to Improve Stress Resilience and Resource Efficiency
Rongli Shi, Dominic Knoch, Ana López-Malvar, et al.
Plant Phenomics (Washington, D.C.)
|
January 18, 2024
Awn Image Analysis and Phenotyping Using BarbNet
Narendra Narisetti, Muhammad Awais, Muhammad Khan, et al.
Sensors (Basel, Switzerland)
|
November 27, 2021
Towards Automated Analysis of Grain Spikes in Greenhouse Images Using Neural Network Approaches: A Comparative Investigation of Six Methods
Sajid Ullah, Michael Henke, Narendra Narisetti, et al.
Scientific Reports
|
August 7, 2021
Fully-automated root image analysis (faRIA)
Narendra Narisetti, Michael Henke, Christiane Seiler, et al.
Scientific Reports
|
December 25, 2019
Semi-automated Root Image Analysis (saRIA)
Narendra Narisetti, Michael Henke, Christiane Seiler, et al.
Page
of 1