フォロー
Mohamed Farag Taha
タイトル
引用先
引用先
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
682022
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
672020
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
492022
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
262022
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
242023
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
232020
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
202023
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
122022
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
122022
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
112022
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
102024
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
102023
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
72015
Cucumber downy mildew disease prediction using a CNN-LSTM approach
Y Wang, T Li, T Chen, X Zhang, MF Taha, N Yang, H Mao, Q Shi
Agriculture 14 (7), 1155, 2024
52024
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
42023
Deep Learning-Enabled Dynamic Model for Nutrient Status Detection of Aquaponically Grown Plants.
MF Taha, H Mao, S Mousa, L Zhou, Y Wang, G Elmasry, S Al-Rejaie, ...
Agronomy 14 (10), 2024
22024
Fast neural distance field-based three-dimensional reconstruction method for geometrical parameter extraction of walnut shell from multiview images
T Huang, Y Bian, Z Niu, MF Taha, Y He, Z Qiu
Computers and Electronics in Agriculture 224, 109189, 2024
22024
A Novel Approach to Optimize Key Limitations of Azure Kinect DK for Efficient and Precise Leaf Area Measurement.
Z Niu, T Huang, C Xu, X Sun, MF Taha, Y He, Z Qiu
Agriculture; Basel 15 (2), 2025
2025
Application of a spore detection system based on diffraction imaging to tomato gray mold
Y Wang, Q Shi, S Ren, T Li, N Yang, X Zhang, G Ma, MF Taha, H Mao
International Journal of Agricultural and Biological Engineering 17 (6), 212-217, 2024
2024
Detection of spores using polarization image features and BP neural network
Y Wang, N Yang, G Ma, MF Taha, H Mao, X Zhang, Q Shi
International Journal of Agricultural and Biological Engineering 17 (5), 213-221, 2024
2024
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