| Fine-tuning convolutional neural network with transfer learning for semantic segmentation of ground-level oilseed rape images in a field with high weed pressure A Abdalla, H Cen, L Wan, R Rashid, H Weng, W Zhou, Y He Computers and electronics in agriculture 167, 105091, 2019 | 117 | 2019 |
| Using hyperspectral analysis as a potential high throughput phenotyping tool in GWAS for protein content of rice quality D Sun, H Cen, H Weng, L Wan, A Abdalla, AI El-Manawy, Y Zhu, N Zhao, ... Plant methods 15, 1-16, 2019 | 61 | 2019 |
| Nutrient status diagnosis of infield oilseed rape via deep learning-enabled dynamic model A Abdalla, H Cen, L Wan, K Mehmood, Y He IEEE Transactions on Industrial Informatics 17 (6), 4379-4389, 2020 | 50 | 2020 |
| Recent advances of smart systems and internet of things (iot) for aquaponics automation: A comprehensive overview MF Taha, G ElMasry, M Gouda, L Zhou, N Liang, A Abdalla, D Rousseau, ... Chemosensors 10 (8), 303, 2022 | 34 | 2022 |
| Color calibration of proximal sensing RGB images of oilseed rape canopy via deep learning combined with K-means algorithm A Abdalla, H Cen, E Abdel-Rahman, L Wan, Y He Remote Sensing 11 (24), 3001, 2019 | 33 | 2019 |
| Using Deep Convolutional Neural Network for Image‐Based Diagnosis of Nutrient Deficiencies in Plants Grown in Aquaponics YHZQ Mohamed Farag Taha, Alwaseela Abdalla, Gamal ElMasry, Mostafa Gouda ... Chemosensors 10 (2), 2022 | 30 | 2022 |
| Infield oilseed rape images segmentation via improved unsupervised learning models combined with supreme color features A Abdalla, H Cen, A El-manawy, Y He Computers and Electronics in Agriculture 162, 1057-1068, 2019 | 30 | 2019 |
| HSI-PP: A flexible open-source software for hyperspectral imaging-based plant phenotyping AI ElManawy, D Sun, A Abdalla, Y Zhu, H Cen Computers and Electronics in Agriculture 200, 107248, 2022 | 26 | 2022 |
| Improving rice nitrogen stress diagnosis by denoising strips in hyperspectral images via deep learning Y Zhu, A Abdalla, Z Tang, H Cen Biosystems Engineering 219, 165-176, 2022 | 14 | 2022 |
| Pollution characteristics and human health risk assessments of toxic metals and particle pollutants via soil and air using geoinformation in urbanized city of Pakistan K Mehmood, Y Bao, R Abbas, Saifullah, GP Petropoulos, HR Ahmad, ... Environmental Science and Pollution Research 28 (41), 58206-58220, 2021 | 14 | 2021 |
| A terahertz multi-band metamaterial absorber and its synthetic evaluation method based on multivariate resonant response fusion for trace pesticide detection F Qu, L Lin, Z Chen, A Abdalla, P Nie Sensors and Actuators B: Chemical 336, 129726, 2021 | 14 | 2021 |
| Stability evaluation of the PROSPECT model for leaf chlorophyll content retrieval L Zhai, L Wan, D Sun, A Abdalla, Y Zhu, X Li, Y He, H Cen International Journal of Agricultural and Biological Engineering 14 (5), 189-198, 2021 | 4 | 2021 |
| Hyperspectral imaging technology combined with genome-wide association study rapidly identifies more genes related to rice quality D Sun, H Cen, H Weng, L Wan, AAM Hassan, AI El-Manawy, Y Zhu, H Fu, ... 2018 ASABE Annual International Meeting, 1, 2018 | 3 | 2018 |
| Color Consistency of UAV Imagery using Multi-Channel CNN-based Image-to-Image Regression and Residual Learning HC Alwaseela Abdalla, Mengqi Lyu, Marye Belete IEEE Transactions on Geoscience and Remote Sensing, 2024 | | 2024 |
| Assessing fusarium oxysporum disease severity in cotton using unmanned aerial system images and a hybrid domain adaptation deep learning time series model Alwaseela Abdalla,Wenxuan Guo, Terry A. Wheeler,Jane Dever, Zhe Lin Biosystems Engineering 237, 220-231, 2024 | | 2024 |
| Multi-Objective Optimization of Convolutional Neural Network for Weed Species Detection. AAM Hassan ASA, CSSA, SSSA International Annual Meeting, 2023 | | 2023 |
| Cotton Yield Prediction Using Airborne and Satellite Remote Sensing O Adedeji, W Guo, B Ghimire, AAM Hassan, R Karn ASA, CSSA, SSSA International Annual Meeting, 2023 | | 2023 |
| Simulation of regional cotton growth and yield using remote sensing data and crop model in west Texas B Ghimire, O Adedeji, R Karn, A Hassan, E Wieber, W Guo | | 2023 |
| A machine learning approach to estimate biophysical and biochemical parameters of cotton using multi-source remote sensing images R Karn, O Adedeji, A Hassan, B Ghimire, W Guo | | 2023 |
| Cotton yield prediction using satellite remote sensing and machine learning O Adedeji, A Hassan, B Ghimire, E Wieber, R Karn, W Guo | | 2023 |
Haiyan CenZhejiang UniversityVerified email at zju.edu.cn
