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农机自动化是实现智慧农业的必经之路

Agricultural Machinery Automation Is the Only Approach to Realizing Smart Agriculture
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摘要 近年来我国科技水平不断发展,越来越多高科技设备运用到人们的生活当中,给生活带来巨大便利。现在互联网大数据不断运用到农业生产当中,为我国农业开创了新的发展方向即智慧农业。不过,当前我国智慧农业发展脚步与发达国家相比处于落后状态,发展时间短,所以仍然存在许多问题。尤其是技术水平的落后导致农业中的农机自动化水平欠缺,严重阻碍我国农业发展。我国是一个农业大国,农业在我国经济发展中占据重要地位,然而当前传统农业依赖人力效率不高,难以满足社会发展需要,所以在经济高速发展的今天,农机自动化已成为市场发展的必要手段。为了实现农机自动化技术的提升,国家、企业、科技人员都需要做出相应措施,提升自身观念,不断学习先进农业知识,加强自动化农机基础理论。文章就农机自动化实现智慧农业必经之路的方法作出分析。 In recent years,the level of science and technology in China has been developing continuously,more and more high-tech equipment is used in people's life,which brings great convenience to life.Now the internet big data is continuously used in agricultural production,which has created a new development direction for China agriculture namely the smart agriculture.However,compared with the developed countries,the pace of the development of China's smart agriculture is in a backward state and the time is short,so there are still many problems.Especially,the backwardness of technical level leads to the deficiency of agricultural machinery automation,which seriously hinders the development of agriculture in China.China is a big agricultural country,and agriculture plays an important role in China's economic development.However,at present,the traditional agriculture relies on the manpower efficiency is not high,and it is difficult to meet the needs of social development,agricultural machinery automation has become a necessary means of market development.In order to promote the automation of agricultural machinery,the government and workers should take corresponding measures to promote their own ideas,constantly learn advanced agricultural knowledge,and strengthen the basic theory of automatic agricultural machinery.We discuss and analyze the methods and measures of the only way to realize smart agriculture by agricultural machinery automation.
作者 何淑彬 HE Shubin
出处 《智慧农业导刊》 2021年第14期44-46,共3页 JOURNAL OF SMART AGRICULTURE
关键词 农机自动化 智慧农业 发展现状 方法措施 状态分析 agricultural machinery automation smart agriculture development status methods and measures state analysis
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