Author

Sajid Ullah

Institutions: Masaryk University, Central European Institute of Technology – Masaryk University

Observed institutions: Central European Institute of Technology, Masaryk University, Central European Institute of Technology – Masaryk University, Photon Systems Instruments (Czechia)

ORCID: 0000-0002-4906-721X

Observed ORCID: 0000-0002-4906-721X

OpenAlex ID: A5101451622

Triticale field phenotyping using RGB camera for ear counting and yield estimation

2024 · Piotr Stefański, Sajid Ullah, et al. · Journal of Applied Genetics · 8

High-Throughput Spike Detection in Greenhouse Cultivated Grain Crops with Attention Mechanisms-Based Deep Learning Models

2024 · Sajid Ullah, Klára Panzarová, et al. · Plant Phenomics · 7

Towards Automated Analysis of Grain Spikes in Greenhouse Images Using Neural Network Approaches: A Comparative Investigation of Six Methods

2021 · Sajid Ullah, Michael Henke, et al. · Sensors · 6

Automated generation of ground truth images of greenhouse-grown plant shoots using a GAN approach

2025 · Sajid Ullah, Narendra Narisetti, et al. · Plant Methods · 4

Automated Detection and Segmentation of Grain Spikes in Greenhouse Images Using Shallow and Deep Learning Neural Networks: A Comparison of Six Methods

2021 · Sajid Ullah, Michael Henke, et al. · Research Square · 2

Foundations of Deep Learning

2024 · Sajid Ullah · CRC Press eBooks · 1

Works count: 6

Citation count: 28

H-index: 4

I10-index: