Fared Farag
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View article: Manifold and spatiotemporal learning on multispectral unoccupied aerial system imagery for phenotype prediction
Manifold and spatiotemporal learning on multispectral unoccupied aerial system imagery for phenotype prediction Open
Timeseries data captured by unoccupied aircraft systems (UASs) are increasingly used for agricultural applications requiring accurate prediction of plant phenotypes from remotely sensed imagery. However, prediction models often fail to gen…
View article: “Version 1.3.0 pyfao56: FAO-56 evapotranspiration in Python”
“Version 1.3.0 pyfao56: FAO-56 evapotranspiration in Python” Open
The pyfao56 software package is a Python-based implementation of the standardized evapotranspiration (ET) methodologies described in Irrigation and Drainage paper No. 56 of the Food and Agriculture Organization of the United Nations, commo…
View article: NAPPN Annual Conference Abstract: Characterizing Rice Nitrogen Use Phenotypes from Multitemporal UAV Imagery with Manifold Learning
NAPPN Annual Conference Abstract: Characterizing Rice Nitrogen Use Phenotypes from Multitemporal UAV Imagery with Manifold Learning Open
Environmental stressors play a major role in determining plant phenotypic traits over the growing season. Nitrogen, a critical nutrient for plant growth, imposes serious stresses when applied in insufficient or excessive quantities in crop…