Y. Emam

Wheat grain width: A clue for re-exploring visual indicators of grain weight

This study identifies more accurate image-based indices for predicting wheat grain weight compared to traditional area-based models.

Accelerating leaf area measurement using a volumetric approach

This paper introduces a volumetric method to measure leaf area more efficiently than traditional methods, showing strong correlation with optical measurements and improved precision.

Green-gradient based canopy segmentation: A multipurpose image mining model with potential use in crop phenotyping and canopy studies

This paper introduces a green-gradient based canopy segmentation model to quantify shading patterns in wheat canopies, enabling classification and prediction of canopy properties.

The double-edge sword of heterogeneous ripening pattern in winter wheat cultivar mixtures: A case study under post-anthesis water stress

This study examines wheat cultivar mixtures with different ripening patterns under post-anthesis water stress, finding that stress reduces ripening heterogeneity and yields, with no mixture outperforming monocultures.

Image-based tracking of ripening in wheat cultivar mixtures: a quantifying approach parallel to the conventional phenology

The paper quantifies wheat ripening in cultivar mixtures using image-derived indices and binomial models, providing reliable alternatives to conventional phenology.