With the technological development globally, Geographic Information System(GIS)and Remote Sensing (RS)has been used and reformed in providing reliable and useful data in the field of environmental studies advancement. There has been needed forGIS and RS in terms of biological and chemical elements in the aquatic environments to assess the concentration of trace metals in the tissue of aquatic species around the world. However, there is still inadequate information and exploration on the subject matter which calls for the use of artificial intelligence plates in acquiring data.There is a need for the use of the invented plate in green port sustainability in order to save time, money, life, less labour and availability of more multiple accurate data information that will have improved sustainability. The primary aim of this concept paper focused on using GIS & RS combined with artificial intelligence plate in Green port environmental sustainability to monitor, acquire data and identify biologicaland chemical elements data online for analysis. This aim was achieved by the application of qualitative research, that is synthetic literature review. Through the review, we are able to find out that artificial intelligence plates will be useful. Therefore, it requests for innovation of an artificial intelligent plate that will detect, analyze and recommend the concentration of heavy metals and other anthropogenic elements in the water bodies and species tissues without necessarily involving laboratory processes. In conclusion, to provide a theory from fusing past and present circumstances in order to forecast the future for coastal areas, GIS & RS applications and artificial intelligence plates were suggested. This review gives instances of GIS applications' used in the stages of assessment, conservation, maintenance, sustainability, and protection of the environment of marine areas. This study suggests the use of a digital plate that can be used with GIS & RS in monitoring, spatiotemporal distribution and identifying the concentration of biological and chemical elements in the environmental sustainability of port institutions and industrial organizations.

This research was conducted to assess the levels of heavy metals in fish tissue, sediment and water body, at river Ndakotsu, Lapai, Niger state, Nigeria. River Ndakotsu is the major river that serve as a boundary between Lapai local government and Agaie local government and is useful to surrounding towns and villages for irrigation farming fishing and domestic purposes. Due to this, it is necessary to monitor the level of heavy metals contamination in the water body, sediment and aquatic species tissue habiting this environment. The study water samples were collected using water sampler in three different locations. Equally, In-situ water physicochemical parameters such as temperature, ph and dissolve oxygen were determined using portable multi probes meter. Fish samples were collected from fishermen immediately they arrived from fish exploration and specimen were digested using concentrated nitric acid in wet digestion technique. The level of selected heavy metal in samples were determined by the use of Atomic Absorption Spectrophotometer (AAS model: Accusys 211 USA) after samples dilution. The water quality of the river was within the acceptable range for fresh water species. The concentration of heavy metals, cadmium (Cd), lead (Pb), copper (Cu), iron (Fe), manganese (Mn) and zinc (Zn). From the results obtained from this study, the concentrations of heavy metals (Mn, Zn, Cd, Cu, Pb and Fe.) found in all the water samples are lower than that in the fish sample species and higher in sediment sample than fish sample