Top-level agricultural design should take more account of local realities
Attending the training, my biggest gain was broadening my horizons and learning about successful examples within the scope of information work both domestically and abroad, as well as applied experience in production, management and other links. Combining this with my daily concrete work practice, I have several thoughts:
Information analysis and application is the key point. In Hezhou City, where I work, information work is still mainly focused on collection and reporting, and the development of analysis and application is still insufficient to a certain extent. For a certain period, strengthening the comprehensive analysis and application of existing information resources should be the key point for improving and promoting information work.
The study of advanced experience must be adapted to local conditions. Foreign advanced technology, management methods and concepts have a certain reference value for our locality, but limited by conditions such as the level of economic development and the natural environment, within quite a long period they are not suitable for replication-style study.
In this regard, I have several suggestions:
Top-level design should be more "grounded." For example, in setting up the basic data statistical indicator system, in addition to considering the applicability and value of the indicators, more consideration should also be given to the operability of grassroots statistical work. In actual work, for the statistics on the proportion of improved grain varieties, it cannot be completed when the criteria for defining improved varieties are unclear. Another example is the grassroots data collection equipment introduced in the agricultural information monitoring and early warning demonstration, which was designed with GPS positioning to urge grassroots staff to be on site at designated points to carry out work, yet it did not take into account that on-site consultation and recording of price information would have a negative impact on the interviewed dealers and increase the difficulty of the work.
Scientific research should take more account of reality. For example, can the research and development of Internet of Things technology and various devices take more account of the special rural conditions and agricultural needs of the western and southern regions, develop sensing elements with high disaster resistance based on the open-field natural environment, and develop Internet of Things applications that can target small-scale individuals and shared management cores for multiple application individuals in a certain region.