Leveraging AI and IoT for Optimized Hemp - Based Carbon Sequestration: A Pathway to Sustainable Climate Solutions
Abstract: This paper investigates the potential of artificial intelligence (AI) in enhancing hemp - based carbon sequestration for climate change mitigation. Hemp?s rapid growth and high biomass make it a promising crop for carbon capture. This study explores AI techniques that model carbon sequestration dynamics, the challenges in AI applications, and the integration of Internet of Things (IoT) sensors for real - time monitoring, aiming to optimize sequestration potential. Additionally, we present comparative data for crops, machine learning approaches, and challenges encountered.
Keywords: artificial intelligence, Carbon sequestration, carbon capture, hemp, IoT in agriculture, machine learning, predictive modeling
How to Cite?: Satyam Chauhan, "Leveraging AI and IoT for Optimized Hemp - Based Carbon Sequestration: A Pathway to Sustainable Climate Solutions", Volume 13 Issue 11, November 2024, International Journal of Science and Research (IJSR), Pages: 1129-1137, https://www.ijsr.net/getabstract.php?paperid=MS241118104129, DOI: https://dx.doi.org/10.21275/MS241118104129