Agricultural Resource Data Acquisition and Integration: Enhancing Efficiency and Collaboration through Information Sharing

This paper proposes an agricultural resource integration way founded on network big data. The method aims to construct a standard system of acquiring and integrating agricultural resource data through heterogeneous data fusion technology. It involves the acquisition of multicompound heterogeneous agricultural resource data, changing their pattern and structure, classifying them, coding then saving them in a three ranks military band agriculture resources database. By putting up an agricultural resource data acquisition and sharing model, this approach seeks to enable key agriculturists details being integrated within one management platform for effective utilization, cost savings, centralised updates and maintenance, improved data quality as well as enhanced sharing. In view of these and other problems such as fragmentation, lack of mobility, inadequate sharing, poor quality of information, data under-utilization, delayed release of information etc., this method contributes to the best use and development of the agricultural resource information.