| Wheat kernel variety identification based on a large near-infrared spectral dataset and a novel deep learning-based feature selection method L Zhou, C Zhang, MF Taha, X Wei, Y He, Z Qiu, Y Liu Frontiers in plant science 11, 575810, 2020 | 55 | 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 | 37 | 2022 |
| Using deep convolutional neural network for image-based diagnosis of nutrient deficiencies in plants grown in aquaponics MF Taha, A Abdalla, G ElMasry, M Gouda, L Zhou, N Zhao, N Liang, Z Niu, ... Chemosensors 10 (2), 45, 2022 | 31 | 2022 |
| Determination of Leaf Water Content by a Portable NIRS System based on Deep Learning and Information Fusion Analysis L Zhou, C Zhang, MF Taha, Z Qiu, Y He Transactions of the ASABE, 0, 2020 | 18 | 2020 |
| Development of an automatic pest monitoring system using a deep learning model of DPeNet N Zhao, L Zhou, T Huang, MF Taha, Y He, Z Qiu Measurement 203, 111970, 2022 | 17 | 2022 |
| Phenotypic analysis of diseased plant leaves using supervised and weakly supervised deep learning L Zhou, Q Xiao, MF Taha, C Xu, C Zhang Plant Phenomics 5, 0022, 2023 | 11 | 2023 |
| Deep learning-based ranging error mitigation method for UWB localization system in greenhouse Z Niu, H Yang, L Zhou, MF Taha, Y He, Z Qiu Computers and Electronics in Agriculture 205, 107573, 2023 | 10 | 2023 |
| Powdery food identification using NIR spectroscopy and extensible deep learning model L Zhou, X Wang, C Zhang, N Zhao, MF Taha, Y He, Z Qiu Food and Bioprocess Technology 15 (10), 2354-2362, 2022 | 10 | 2022 |
| Using machine learning for nutrient content detection of aquaponics-grown plants based on spectral data MF Taha, AI ElManawy, KS Alshallash, G ElMasry, K Alharbi, L Zhou, ... Sustainability 14 (19), 12318, 2022 | 6 | 2022 |
| Novel segmentation method and measurement system for various grains with complex touching N Liang, S Sun, J Yu, MF Taha, Y He, Z Qiu Computers and Electronics in Agriculture 202, 107351, 2022 | 5 | 2022 |
| A study on some engineering parameters of cutting and chopping machine for agricultural wastes MA Mady, MA Abdel-Hadi, YE Abd-Allah, MF Ali Misr Journal of Agricultural Engineering 32 (4), 1775-1800, 2015 | 5 | 2015 |
| High-throughput instance segmentation and shape restoration of overlapping vegetable seeds based on sim2real method N Liang, S Sun, L Zhou, N Zhao, MF Taha, Y He, Z Qiu Measurement 207, 112414, 2023 | 4 | 2023 |
| High-Throughput Analysis of Leaf Chlorophyll Content in Aquaponically Grown Lettuce Using Hyperspectral Reflectance and RGB Images MF Taha, H Mao, Y Wang, AI ElManawy, G Elmasry, L Wu, MS Memon, ... Plants 13 (3), 392, 2024 | 2 | 2024 |
| Detection Method of Fungal Spores Based on Fingerprint Characteristics of Diffraction–Polarization Images Y Wang, X Zhang, MF Taha, T Chen, N Yang, J Zhang, H Mao Journal of Fungi 9 (12), 1131, 2023 | | 2023 |
| Erratum to “Phenotypic Analysis of Diseased Plant Leaves Using Supervised and Weakly Supervised Deep Learning” L Zhou, Q Xiao, MF Taha, C Xu, C Zhang Plant Phenomics 5, 0033, 2023 | | 2023 |
| Smart Systems and IoT for Aquaponics Automation MF Taha Scholarly Community Encyclopedia, 2022 | | 2022 |
