cyborg
sensors

Around 80% of customers’ complaints to the water utilities are about unwanted aesthetic aspects of drinking water that are generated during its distribution. Recent technological advances and increasing scientific evidence suggest that machine learning can help water utilities tap into knowledge relating to the drinking water microbiome gained from meta-omics data. Refer to our recent publication to understand recent trends and patterns in research and development relating to the drinking water microbiome. 

Read more:

Mahajna, A., Dinkla, I. J. T., Euverink, G. J. W., Keesman, K. J., & Jayawardhana, B. (2022). Clean and safe drinking water systems via metagenomics data and artificial intelligence: State-of-the-art and future perspective. Frontiers in Microbiology, 13. https://doi.org/10.3389/fmicb.2022.832452