Alwaseela Abdalla

According to our database, Alwaseela Abdalla authored at least 8 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

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

2023

Spatial heterogeneity analysis of silique chlorophyll <i>a</i> 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., June, 2023

2022

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

2021

Nutrient Status Diagnosis of Infield Oilseed Rape via Deep Learning-Enabled Dynamic Model.

Alwaseela Abdalla, Haiyan Cen, Liang Wan, Khalid Mehmood, Yong He

IEEE Trans. Ind. Informatics, 2021

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

Remote. Sens., 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

Comput. Electron. Agric., 2019

Infield oilseed rape images segmentation via improved unsupervised learning models combined with supreme color features.

Alwaseela Abdalla, Haiyan Cen, Ahmed El-manawy, Yong He

Comput. Electron. Agric., 2019