Md. Rehan Alam
Monitoring & Measurement: AI uses remote sensing, drones, and IoT sensors to track vegetation growth, soil carbon content, and environmental factors in real time, providing precise data for carbon sequestration. Optimization of Farming Practices: AI analyzes data to recommend optimal irrigation, fertilization, and soil management techniques, improving carbon uptake and soil health. Verification for Carbon Credits: AI automates carbon accounting by cross-referencing multiple data sources to ensure accurate and reliable verification of carbon credit. Scalability & Efficiency: AI enables the analysis of large datasets to identify high-impact areas for carbon sequestration, optimizing resource allocation. Carbon Credit Market Support: AI integrates with blockchain to ensure traceability and secure trading of carbon credits, enhancing market transparency.
Dear Simranpreet Kaur,
AI is revolutionizing carbon farming and the carbon credit market by enhancing efficiency, accuracy, and scalability in carbon sequestration efforts.
Key Contributions:
In summary, AI is crucial in improving the efficiency, accuracy, and scalability of carbon farming and the carbon credit market, enabling more effective climate change mitigation.
Thanks for your time.
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