Himanshu Tiwari

Digital technologies, such as remote sensing, AI-driven soil monitoring, and blockchain for carbon credit tracking, play a key role in enhancing the transparency, efficiency, and scalability of carbon farming. Remote sensing enables precise land mapping and assessment of its carbon sequestration potential, while AI technologies allow dynamic monitoring of soil changes and optimization of agricultural practices in real-time. Blockchain, on the other hand, ensures transparency and verification of carbon credits, reducing the possibility of fraud and facilitating easier trading in the global market. Although these technologies have the potential to improve carbon emission management, barriers to their widespread implementation include high initial implementation costs, the need for specialized knowledge, and limited access to infrastructure and data in many developing regions. Additionally, there are challenges related to regulations and standardization, as the global framework for using these technologies in carbon farming is still not fully developed.

Digital technologies like remote sensing, AI-driven soil monitoring, and blockchain enhance transparency, efficiency, and scalability in carbon farming by providing accurate data and secure tracking. However, widespread adoption is hindered by barriers such as data governance issues, standardization challenges, and concerns over data ownership and security.