Delft University of Technology
|Research Assistant
Netherlands
→
Saeed Karimzadeh
Work
University of California, Davis
US
→
University of California Berkeley
|Visiting Scholar
US
→
Education
University of California, Davis
United States of America
→
PhD
Politecnico di Milano
Italy
→
Master of Science
Shiraz University
Iran (Islamic Republic of)
→
Bachelor of Science
Publications
Machine learning-based fault detection and diagnosis of electrical conductivity and pH sensors in hydroponic systems
Computers and Electronics in Agriculture
journal-article
Detection of calcium deficiency in indoor-grown lettuce under LED lighting using computer vision
Smart Agricultural Technology
journal-article
Detection of calcium deficiency in indoor-grown lettuce under LED lighting using computer vision
Smart Agricultural Technology
journal-article
Global water-nutrient-salinity-energy nexus in lettuce production: From open-field irrigation to closed-loop hydroponics in greenhouses
Journal of Agriculture and Food Research
journal-article
A comprehensive review of advances in sensing and monitoring technologies for precision hydroponic cultivation
Computers and Electronics in Agriculture
other
Machine learning-based fault detection and diagnosis of electrical conductivity and pH sensors in hydroponic systems
Computers and Electronics in Agriculture
journal-article
The tradeoff between water savings and salinization prevention in dryland irrigation
Advances in Water Resources
journal-article
The tradeoff between water savings and salinization prevention in dryland irrigation
Advances in Water Resources
journal-article
The tradeoff between water savings and salinization prevention in dryland irrigation
Advances in Water Resources
journal-article
Comparative Study on the Machine Learning and Regression-Based Approaches to Predict the Hydraulic Jump Sequent Depth Ratio
Iranian Journal of Science and Technology, Transactions of Civil Engineering
journal-article
Comparative Study on the Machine Learning and Regression-Based Approaches to Predict the Hydraulic Jump Sequent Depth Ratio
Iranian Journal of Science and Technology - Transactions of Civil Engineering
journal-article