AI-Driven-IoT (AIIoT)-Based Decision Making in Drones for Climate Change
Kutubuddin Sayyad Liyakat Kazi
Abstract
An investigation on the effects of climate change is currently being carried out with the support of the KSK approach. Following the establishment of a database, which is subsequently compared with earlier datasets, the decision is made based on the findings of the comparison analysis. In this chapter, the authors look into the temperature as well as the amount of carbon dioxide that is present in the environmental environment. In order to determine the degree of precision possessed by the system, comparisons are conducted between the decisions, and tests are carried out. It is proposed that an ANN, DT, and K-NN approach be utilised here. It is possible to create comparisons about the accuracy by utilising these tactics. The accuracy of DT is 92.3% for temperature, ANN is 93.5% for CO2, and K-NN is 94.5% for CO2.