Infield oilseed rape images segmentation via improved unsupervised learning models combined with supreme color features. - Alwaseela Abdalla; Haiyan Cen; Ahmed El-manawy; Yong He 001 (Comput. Electron. Agric., 2019)

Fine-tuning convolutional neural network with transfer learning for semantic segmentation of ground-level oilseed rape images in a field with high weed pressure. - Alwaseela Abdalla; Haiyan Cen; Liang Wan; Reem Rashid; Haiyong Weng; Weijun Zhou; Yong He 001 (Comput. Electron. Agric., 2019)

Color Calibration of Proximal Sensing RGB Images of Oilseed Rape Canopy via Deep Learning Combined with K-Means Algorithm. - Alwaseela Abdalla; Haiyan Cen; Elfatih M. Abdel-Rahman; Liang Wan; Yong He 001 (Remote. Sens., 2019)

Nutrient Status Diagnosis of Infield Oilseed Rape via Deep Learning-Enabled Dynamic Model. - Alwaseela Abdalla; Haiyan Cen; Liang Wan; Khalid Mehmood; Yong He 001 (IEEE Trans. Ind. Informatics, 2021)

HSI-PP: A flexible open-source software for hyperspectral imaging-based plant phenotyping. - Ahmed El-manawy; Dawei Sun; Alwaseela Abdalla; Yueming Zhu; Haiyan Cen (Comput. Electron. Agric., 2022)

Spatial heterogeneity analysis of silique chlorophyll a fluorescence-based photosynthetic traits for rapeseed yield and quality assessment. - Li Zhai; Alwaseela Abdalla; Dawei Sun; Yu-an Zhou; Weijun Zhou; Haiyan Cen (Comput. Electron. Agric., 2023)

Dual-stage color calibration of UAV imagery using multivariate regression and deep learning. - Alwaseela Abdalla; Rupak Karn; Oluwatola Adedeji; Wenxuan Guo (Comput. Electron. Agric., 2024)

Color Consistency of UAV Imagery Using Multichannel CNN-Based Image-to-Image Regression and Residual Learning. - Alwaseela Abdalla; Mengqi Lyu; Marye Belete; Haiyan Cen (IEEE Trans. Geosci. Remote. Sens., 2024)

Novel encoding technique to evolve convolutional neural network as a multi-criteria problem for plant image segmentation. - Alwaseela Abdalla; Yueming Zhu; Fangfang Qu; Haiyan Cen (Comput. Electron. Agric., 2025)