Scientists at Tel Aviv University have channeled artificial intelligence to improve wastewater management and simplify the purification of water supplies.
Traditional solutions require time-consuming transfer of samples to labs, and the results are vulnerable to human error.
Through machine learning, algorithms can calculate variables such as temperature, precipitation, wastewater characteristics, and chemical and biological properties.
The result is the ability to predict what contaminants will be present in wastewater with nearly 90% accuracy without waiting for test results.
In addition, with AI tools, researchers created a database to recognize microorganisms like protozoa and filaments to better predict problems and generate solutions on purifying water.
The AI solution will make water supplies cleaner, and greener and will increase the efficiency of processing wastewater.
The study was led by PhD student Ofir Inbar and Prof. Dror Avisar from the Hydrochemistry Laboratory at the Porter School of Environmental and Earth Sciences at Tel Aviv University, was conducted in collaboration with Dr. Mony Shahar, Yaakov Gidron and Ido Cohen from the Center for Artificial Intelligence and the School of Computer Science at Tel Aviv University, and Dr. Ofir Menashe from the Kinneret Academic College.
