EnviLife strives to build a reliable data processing-based tool for prediction of the contaminants spread over arable soil and surface water used for irrigation. It uses a multidisciplinary approach combining:

·state-of-the-art instrumental analysis for wide-range surveillance of contaminants of emerging concern (CECs) in soil and water,

·development, testing, and validation of a portable membrane inlet mass spectrometer (MIMS) for identification of toxic VOCs in water, and

·development of a reliable tool to simulate and predict contaminants spread in water and soil.

The project is designed to address a better understanding of the contaminants environmental fate and to proactively predict and prevent their known or suspect negative impacts on precious natural resources such as water and soil, and potential of their spread along farm-to-fork chain.

Knowing that such pollutants could be introduced into the food chain via arable soil irrigation, the project also aims to contribute to more reliable food chain safety with a great benefit to various parties, from farmers and regular consumers to retail stores and environmental institutions.

To the best of our knowledge, for the first time in Serbia, EnviLife project will develop a novel environmental model for prediction of contaminant spread through soil, by combining data fusion and machine learning algorithms.