Fared Farag Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Graduate Research Assistant

Arkansas State University

grad_student

2 h-index 3 pubs 5 cited

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OverviewAI-generated summary

Fared Farag's research focuses on the application of machine learning techniques to agricultural science, particularly in the prediction of crop phenotypes. His work involves utilizing multispectral imagery captured by unoccupied aerial systems (UAS) and analyzing this data using manifold and spatiotemporal learning methods. A key area of investigation is the characterization of nitrogen use phenotypes in rice, as demonstrated by his abstract presented at the NAPPN Annual Conference. He has collaborated with Ahmed A. Hashem, Emily S. Bellis, and Jason Causey at Arkansas State University on several shared publications. Farag has authored or co-authored three publications, with his work receiving five citations, and holds an h-index of 2.

Metrics

h-index: 2
Publications: 3
Citations: 5

Selected Publications

Manifold and spatiotemporal learning on multispectral unoccupied aerial system imagery for phenotype prediction (2024) DOI
“Version 1.3.0 pyfao56: FAO-56 evapotranspiration in Python” (2024) DOI
NAPPN Annual Conference Abstract: Characterizing Rice Nitrogen Use Phenotypes from Multitemporal UAV Imagery with Manifold Learning (2022) DOI