An enormous quantity of plastic debris finds its way into rivers and oceans each year, endangering not just humans but also marine life. But scientists are also worried about their increasing presence in soil and its impacts, which haven’t been thoroughly studied. In order to close this disparity, a recent study employs artificial intelligence (AI) and machine learning to evaluate and forecast the impact of microplastics on soil parameters.
Just a tiny portion of the plastics that are thrown away every day are recycled or transferred to companies that convert garbage into electricity. These polymers degrade into tiny particles known as microplastics, which are typically less than 5 mm and are now a significant source of pollution. Microplastics can have an impact on the soil’s production, environment, diversity, and ability to retain water.
Therefore, a group headed by Yong Sik Ok, President of the International Environmental, Social, and Governance Association (IESGA) in South Korea, using machine learning (ML) techniques to gain a deeper understanding of the relationship between soil and microplastics.
According to Ok in a press release, machine learning (ML) is a dynamic and revolutionary area of artificial intelligence that leverages models and algorithms to learn from large datasets and provide highly accurate predictions. “It saves time and resources and lays the groundwork for future research on this topic by using ML to fully understand the role of MPs in soil systems,” Ok continued. Environmental Pollution is the journal where the findings were published.
The present investigation employed machine learning algorithms to forecast the impact of microplastics on soil characteristics. The results indicated that many parameters, including type, size, shape, and dosage, had a notable influence on soil attributes. More specifically, one important element was found to be the size of the microplastics. “Using machine learning techniques to address this issue shows how cutting edge technology can promote environmentally friendly behaviors and build a more sustainable future,” Ok stated in the release.
The researchers claim that a “groundbreaking shift” from conventionally complicated and resource-intensive methods for forecasting the influence of microplastics on soil parameters has occurred with the application of ML algorithms. In order to create a more eco-aware world, Ok also mentioned how this study may completely transform business sustainability initiatives and lead to the creation of more green jobs and sustainable development.
This study highlights the need for action to address the growing amount of microplastics in the environment and suggests that utilizing cutting-edge technology could be the best course of action.
