AI GOVERNANCE
Backed by data
The Model leverages data provided by the National Agricultural Information Account.
As data management and control have become increasingly digitized, it enabled the accumulation of large datasets to be rapidly extracted and analysed by computers. This has led to the development of digital technologies such as blockchain and artificial intelligence, which are backed by the integration and iterative models.
The system effectively collects, inputs and analyses agricultural data in order to monitor and govern agricultural activities within the region, and subsequently implements corresponding regulatory measures.
This promotes the efficiency and effectiveness of the regulatory governance and realises the modernization of China’s agricultural monitoring and control system.
Real-time monitoring
The Model integrates advanced technologies such as remote sensing, geographic information systems, positioning systems, computer technology, communication and networking technology, and automation technology with the disciplines of geography, agronomy, ecology, plant physiology, and soil science.
It realises real-time monitoring of crops, soil, and other elements in the agricultural production process from macro to micro levels. Real-time information is obtained on crop growth, development status, pests and diseases, water and fertilizer conditions, and related environmental factors.
This dynamic spatial information system enables simulation of agricultural phenomena and processes, aiming to achieve rational utilization of agricultural resources, cost reduction, improvement of ecological environment, and increased crop yield and quality.
Accurate disbursement of subsidies and loans
The establishment of an agricultural data evaluation centre upgrades the agricultural financing model.
Based on data provided by the Ledger System of the National Significant Agricultural Resource Information, national and industrial standards are set up for different crops. Each stage of agricultural production is then certified by the Judicial Agricultural Certification Library, and a standard database built with the Department of Agriculture. The Financial Office and banks can then utilise the database to quickly determine crop growth and allocate loans timely and accurately.
This not only ensures accurate disbursement of national agricultural subsidies and loans, but also invites increased financial and insurance resources into the agricultural and rural sectors.
AI Governance
By utilizing data from the national resource information ledger system, the transformation from digitalization to digital governance aims to visually express and digitally analyze the impact of agricultural cultivation and breeding, as well as its environmental impacts.
AI GOVERNANCE
BACKED BY DATA
The Model leverages data provided by the National Agricultural Information Account.
As data management and control have become increasingly digitized, it enabled the accumulation of large datasets to be rapidly extracted and analysed by computers. This has led to the development of digital technologies such as blockchain and artificial intelligence, which are backed by the integration and iterative models.
The system effectively collects, inputs and analyses agricultural data in order to monitor and govern agricultural activities within the region, and subsequently implements corresponding regulatory measures.
This promotes the efficiency and effectiveness of the regulatory governance and realises the modernization of China’s agricultural monitoring and control system.
REAL-TIME MONITORING
The Model integrates advanced technologies such as remote sensing, geographic information systems, positioning systems, computer technology, communication and networking technology, and automation technology with the disciplines of geography, agronomy, ecology, plant physiology, and soil science.
It realises real-time monitoring of crops, soil, and other elements in the agricultural production process from macro to micro levels. Real-time information is obtained on crop growth, development status, pests and diseases, water and fertilizer conditions, and related environmental factors.
This dynamic spatial information system enables simulation of agricultural phenomena and processes, aiming to achieve rational utilization of agricultural resources, cost reduction, improvement of ecological environment, and increased crop yield and quality.
ACCURATE DISBURSEMENT OF SUBSIDIES AND LOANS
The establishment of an agricultural data evaluation centre upgrades the agricultural financing model.
Based on data provided by the Ledger System of the National Significant Agricultural Resource Information, national and industrial standards are set up for different crops. Each stage of agricultural production is then certified by the Judicial Agricultural Certification Library, and a standard database built with the Department of Agriculture. The Financial Office and banks can then utilise the database to quickly determine crop growth and allocate loans timely and accurately.
This not only ensures accurate disbursement of national agricultural subsidies and loans, but also invites increased financial and insurance resources into the agricultural and rural sectors.