Climate change is one of the most serious environmental issues and immediate worldwide action is essential to safeguard the earth for future generations. This study examines the use of regenerative biochar in conjunction with machine learning to assess the potential of carbon in soil for climate smart agriculture. Biochar is cost effective, practical and environmentally benign and it may be used to efficiently sequester carbon dioxide, methane and nitrous oxide, all of which are significant Green House Gases. It is reasonably stable form of carbon, produced by pyrolizing biomass at both high and moderate temperatures. Biochar has been found to increase agricultural productivity, enhance nutrient and water efficiency and help the environment, in addition to assisting in carbon sequestration, gives a more productive choice for sustainable agriculture. It includes a vast range of applications, including construction materials like concrete and asphalt, innovative carbon-based composites, bioplastics, and even medical applications. The use of new artificial intelligence and machine learning technology contributed substantially to understanding climate change challenges without wasting time or money. This paper extensively covers all the regenerative biochar strategies for carbon sequestration and role of emerging technology in measuring and modelling soil organic carbon in agricultural lands.