In order to adapt to the new situation and new requirements of statistical work, improve the business ability and professional quality of agricultural mechanization statisticians at all levels, and promote the improvement of the quality of national agricultural mechanization management statistics. From September 25th to 26th, the Agricultural and Rural Ministry of Agricultural Machinery Test and Identification Station in Qinghai Xining City held a class to improve the ability and quality of agricultural statisticians. This training class was held for the first time in recent years for statisticians of grassroots agricultural mechanization in cities and counties. The agricultural (agricultural machinery) departments and agricultural mechanization systems institutions from 23 provinces (autonomous regions and municipalities) are responsible for the statistics of agricultural mechanization. Nearly 220 statisticians participated in the training. Yao Chunsheng, deputy director of the Agricultural Machinery Experimental Identification and Identification Station of the Ministry of Agriculture and Rural Agriculture, Agricultural Mechanization Technology Development and Extension Station of the Ministry of Agriculture and Rural Affairs, and He Yanwu, director of the Qinghai Provincial Agricultural and Animal Husbandry Machinery Promotion Station, attended the opening ceremony and delivered speeches.

In the opening speech, Yao Chunsheng expounded the significance and necessity of holding the training course under the new situation, and introduced the work of the terminus in providing technical support for the national agricultural mechanization statistics in recent years, including coordinating the preparation of statistical annual reports and construction. In the new period, the statistical system, the strengthening of the statistical work system and the development of relevant education and training, etc., said that in the future work will continue to strengthen personnel training, conscientiously do technical support, promote accountability construction and data analysis applications.

In the training class, the person in charge of the Policy Research Office of the General Station introduced the overview and requirements of the statistical system of agricultural mechanization management. The three provinces (districts) of Hebei, Shanxi and Inner Mongolia carried out typical exchange speeches in conjunction with their respective work. The training class also invited statistical audits from China Agricultural University, the Ministry of Agriculture and Rural Planning and Design, etc., combined with the revision of the new version of the agricultural mechanization statistical survey system indicators, the mechanization level evaluation methods and indicators for the areas in charge, review points, etc. Made a detailed explanation. The software system technical support unit personnel explained in detail the functions and operational points of the national agricultural mechanization management statistical system. In conjunction with the training class, the Agricultural Mechanization Management Department of the Ministry of Agriculture and Rural Affairs, the Agricultural and Rural Ministry of Agriculture and Machinery Testing and Identification Station, and the Ministry of Agriculture and Rural Agriculture Agricultural Mechanization Technology Development and Promotion Station led the organization of the 2019 version of the national agricultural mechanization management statistical survey system implementation guidance The book was first published, providing a basis for the training of agricultural mechanization at all levels, providing a working guide for actual statistical operations.

The training and training courses were arranged in a compact, informative and practical manner. Participants in the training showed that they had a new understanding of the job. The confidence in doing a good job was boosted and the harvest was great. I hope that I can do more and better. Similar training courses to further promote the foundation of stable agricultural mechanization statistics

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