Prof. Dr. Mohamed E. Abuarab

Professor of Agricultural Engineering

Cairo University, Faculty of Agriculture, Agricultural Engineering Department, Giza, Egypt (email)

Using Machine Learning Models to Predict Hydroponically Grown Lettuce Yield

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Citation:
Mokhtar, A., W. El-Ssawy, H. He, N. Al-Anasari, S. S. Sammen, Y. Gyasi-Agyei, and M. Abuarab, "Using Machine Learning Models to Predict Hydroponically Grown Lettuce Yield", Frontiers in Plant Science, vol. 13, pp. 1-10, 2022.
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  • https://doi.org/10.1007/s12665-020-09007-1 (1)
  • https://doi.org/10.3390/atmos13071052 (1)

Recent Publications

Winter Potato Water Footprint Response to Climate Change in Egypt
Integrated system for recycling and treatment of hazardous pharmaceutical wastewater
Applying Different Magnetic Water Densities as Irrigation for Aeroponically and Hydroponically Grown Strawberries
Using Machine Learning Models to Predict Hydroponically Grown Lettuce Yield
Phycoremediation of contaminated water by cadmium (Cd) using two cyanobacterial strains (Trichormus variabilis and Nostoc muscorum)
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