P. Sadeghi-Tehran

Global Wheat Head Detection (GWHD) Dataset: A Large and Diverse Dataset of High-Resolution RGB-Labelled Images to Develop and Benchmark Wheat Head Detection Methods

Minhajul A. Badhon, F. Baret, I. Stavness, 2020, Plant phenomics.

Field Scanalyzer: An automated robotic field phenotyping platform for detailed crop monitoring.

M. Hawkesford, Nicolas Virlet, P. Sadeghi-Tehran, 2016, Functional plant biology : FPB.

Functional QTL mapping and genomic prediction of canopy height in wheat measured using a robotic field phenotyping platform

M. Hawkesford, S. Griffiths, G. Slavov, 2020, Journal of experimental botany.

Time‐intensive geoelectrical monitoring under winter wheat

W. R. Whalley, M. Hawkesford, C. Watts, 2020, Near Surface Geophysics.

Time-intensive geoelectrical 1 monitoring under winter wheat 2 Time-intensive ERT monitoring under winter wheat 3 4

W. R. Whalley, M. Hawkesford, C. Watts, 2020 .

A real-time approach for autonomous detection and tracking of moving objects from UAV

Pouria Sadeghi-Tehran, Plamen Angelov, Christopher Clarke, 2014, 2014 IEEE Symposium on Evolving and Autonomous Learning Systems (EALS).

DeepCount: In-Field Automatic Quantification of Wheat Spikes Using Simple Linear Iterative Clustering and Deep Convolutional Neural Networks

Pouria Sadeghi-Tehran, Nicolas Virlet, Malcolm J. Hawkesford, 2019, Front. Plant Sci..