引用次数
引用: 252
H-指数: 8
I10-指数 : 8
出版物: 19
Wheat Kernel Variety Identification Based on a Large Near-Infrared Spectral Dataset and a Novel Deep Learning-Based Feature Selection Method.
Lei Zhou , Chu Zhang , Mohamed Farag Taha , Xinhua Wei
Frontiers in Plant Science 11 575810 -575810
29
2020
Powdery food identification using NIR spectroscopy and extensible deep learning model
Lei Zhou , Xuefei Wang , Chu Zhang , Nan Zhao
Food and Bioprocess Technology 15 ( 10) 2354 -2362
3
2022
Recent Advances of Smart Systems and Internet of Things (IoT) for Aquaponics Automation: A Comprehensive Overview
Mohamed Farag Taha , Gamal ElMasry , Mostafa Gouda , Lei Zhou
Chemosensors 10 ( 8) 303
5
2022
Deep learning-based ranging error mitigation method for UWB localization system in greenhouse
Ziang Niu , Huizhen Yang , Lei Zhou , Mohamed Farag Taha
Computers and Electronics in Agriculture 205 107573
2023
Using deep convolutional neural network for image-based diagnosis of nutrient deficiencies in plants grown in aquaponics
Mohamed Farag Taha , Alwaseela Abdalla , Gamal ElMasry , Mostafa Gouda
Chemosensors 10 ( 2) 45 -45
31
2022
Using machine learning for nutrient content detection of aquaponics-grown plants based on spectral data
Mohamed Farag Taha , Ahmed Islam ElManawy , Khalid S Alshallash , Gamal ElMasry
Sustainability 14 ( 19) 12318 -12318
6
2022
High-throughput analysis of leaf chlorophyll content in aquaponically grown lettuce using hyperspectral reflectance and RGB images
Mohamed Farag Taha , Hanping Mao , Yafei Wang , Ahmed Islam ElManawy
Plants 13 ( 3) 392 -392
3
2024
Development of an automatic pest monitoring system using a deep learning model of DPeNet
Nan Zhao , Lei Zhou , Ting Huang , Mohamed Farag Taha
Measurement 203 111970 -111970
20
2022
Determination of Leaf Water Content by a Portable NIRS System based on Deep Learning and Information Fusion Analysis
Lei Zhou , Chu Zhang , Mohamed Farag Taha , Zhengjun Qiu
Transactions of the ASABE 0 -0
20
2020
Phenotypic analysis of diseased plant leaves using supervised and weakly supervised deep learning
Lei Zhou , Qinlin Xiao , Mohamed Farag Taha , Chengjia Xu
Plant Phenomics 5 0022 -0022
14
2023
Novel segmentation method and measurement system for various grains with complex touching
Ning Liang , Sashuang Sun , Jiajia Yu , Mohamed Farag Taha
Computers and electronics in agriculture 202 107351 -107351
6
2022
High-throughput instance segmentation and shape restoration of overlapping vegetable seeds based on sim2real method
Ning Liang , Sashuang Sun , Lei Zhou , Nan Zhao
Measurement 207 112414 -112414
5
2023
Detection Method of Fungal Spores Based on Fingerprint Characteristics of Diffraction–Polarization Images
Yafei Wang , Xiaodong Zhang , Mohamed Farag Taha , Tianhua Chen
Journal of Fungi 9 ( 12) 1131 -1131
2
2023
Fast neural distance field-based three-dimensional reconstruction method for geometrical parameter extraction of walnut shell from multiview images
Ting Huang , Yongliang Bian , Ziang Niu , Mohamed Farag Taha
Computers and Electronics in Agriculture 224 109189 -109189
2024
Cucumber Downy Mildew Disease Prediction Using a CNN-LSTM Approach
Yafei Wang , Tiezhu Li , Tianhua Chen , Xiaodong Zhang
Agriculture 14 ( 7) 1155 -1155
2024
Use of Inductively Coupled Plasma Mass Spectrometry (ICP-MS) to Assess the Levels of Phosphorus and Cadmium in Lettuce
Kamel Mohamed Eltohamy , Mohamed Farag Taha
Springer US 231 -248
2024
Erratum to “Phenotypic Analysis of Diseased Plant Leaves Using Supervised and Weakly Supervised Deep Learning”
Lei Zhou , Qinlin Xiao , Mohamed Farag Taha , Chengjia Xu
Plant Phenomics 5 0033 -0033
2023
Smart Systems and IoT for Aquaponics Automation
Mohamed Farag Taha
Scholarly Community Encyclopedia
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