CO2 capture, transportation, storage and utilization in agriculture (CCUS) technology is a new technology with the potential to reduce CO2 emissions on a large scale. Considering the immature technology of CO2 pipeline long-distance transmission and the lack of relevant utilization technologies, it is necessary to develop a reproducible and efficient CCUS digital system. The research shows that different concentrations of CO2 have a promotion mechanism for plants in photosynthesis. On this basis, through various sensors, actuators and intelligent twin platforms, the problems of poor information communication and extensive management of CCUS in all aspects of agricultural application can be solved, giving new answers to the low-cost CO2 pipeline transportation and utilization of CCUS technology at the emerging stage. In this study, through the introduction of artificial intelligence and digital twin related technologies, the data of farmland soil physical and chemical properties are collected by using nitrogen, phosphorus, potassium, conductivity, PH value, temperature, humidity and other sensors, and the impact of exogenous carbon dioxide on plant photosynthesis, plant physiology and biochemistry, and plant growth yield is comprehensively analyzed. The demand for carbon dioxide is predicted through artificial intelligence technology, and carbon capture is conducted according to the prediction results, The carbon dioxide sensor can accurately measure the concentration and content of captured carbon dioxide; The captured carbon dioxide will be timely and accurately distributed to the corresponding farmland for soil improvement and crop yield increase. Visual modeling of the above process can visually see the overall operation process online. This research combines the virtual and real aspects of CCUS, and realizes the accurate evaluation, standardized management, visual real-time early warning, personalized analysis, intelligent decision-making and fine control of the whole process of agricultural CCUS supply chain. It has improved the intelligence and informatization level of the supply chain, as well as the intelligent service capability and circulation efficiency. In the future, we will modularize the components used in the above process to facilitate personalized configuration according to customer needs.
Keywords CCUS, carbon capture, soil improvement, vegetable income increase, digital twins