Applying Artificial Intelligence to Analyze The Bio-remediation Properties of Prosopis Juliflora: A Review

Prosopis Juliflora can be applied in the restoration of degraded or barren lands in various areas. It can be used as a phyto re-mediator [1] for fluoride contaminated soil, utilization and production of silver and production of fuel wood, charcoal, pods, dyes and fibres. The nitrogen fixation properties of these trees are an added advantage. Eradication of Prosopis being suggested from some quarters of the world, but overall the evidence shows that the eradication is ineffective, costly and futile option. It is strongly recommended that more efforts must be concentrated on developing Prosopis as a valuable resource and adding value to tree products through application of existing knowledge. This paper summarizes the positive impacts created by Prosopis Juliflora plant and how various artificial intelligence and machine learning techniques can be applied to predict the growth rate of these plants. If proper methods are applied then, this plant can be a useful resource for the environment.