The role of artificial intelligence in drying and biomass valorization in the field of phytoremediation of contaminated soils

The agriculture sector has been acknowledged as the backbone of the economy of many countries. Specifically, phytoremediation can help to increase the GDP of a country by decontaminating the soil that is unavailable for cultivation. Very few research advancements have been reported on soil moisture transport, drying, and biomass valorization. Hence, the present paper highlights the importance of soil moisture transport by highlighting its impact on heavy metal sequestration along with the valorization of biomass. The objective of the present work is to provide a critical overview of the literature about moisture transport, and heavy metals (HMs) leaching in contaminated soils which is unsuitable for agricultural purposes, and simulating its responses using various available artificial intelligence techniques. Furthermore, insights have been made on various approaches to decontaminate soil that can be used for the cultivation of various crops along with other agricultural practices and thereby it can contribute to food safety and security as well as mitigating the global food crisis from waste to wealth conversion. Valorization of biomass in the field of phytoremediation of contaminated soils.Role of drying in the field of phytoremediation, biomass management, and food safety.Benefits, and limitations of AI focusing on ML and DL simulation in phytoremediation.Scope and application of AI based simulation model in phytoremediation and agriculture. Graphical representation to depict the role of drying and AI based simulation in phytoremediation