[China Agricultural Machinery Industry News] "Digital agriculture is a new intelligent agriculture model based on agricultural big data. The effective way to obtain agricultural environment big data is the application of agricultural Internet of Things technology." Recently, by the Austrian Cypos International Company, Sponsored by Microsoft China, the second international (Beijing) Digital Agriculture Forum hosted by Beijing Kebai Hongye Technology Co., Ltd., experts said that after the digitalization of agricultural production, it will be possible to reduce the use of chemical fertilizers and pesticides by more than 50%. Quantity, thereby greatly reducing non-point source pollution.
Liu Zongbo, executive vice president of the China Smart Agriculture Industry Alliance and chairman of Beijing Kebai Hongye Technology Co., Ltd., said that traditional agriculture based on experience can no longer guarantee the sustainable development of agriculture, which requires collecting data behind the experience. Agricultural inputs such as water, fertilizer, medicine, and energy have a good point and scope in terms of time, scope, and frequency of use. Access to this information will promote the use of agricultural resources. Beijing Kebai and Microsoft have jointly created an Internet-based, cross-regional, and usable agricultural solution to test the application of China's agricultural Internet of Things.
Big data supports agricultural production and efficiency
Liu Zongbo, executive vice president of the China Smart Agriculture Industry Alliance and chairman of Beijing Kebai Hongye Technology Co., Ltd., said that traditional agriculture based on experience can no longer guarantee the sustainable development of agriculture, which requires collecting data behind the experience. Agricultural inputs such as water, fertilizer, medicine, and energy have a good point and scope in terms of time, scope, and frequency of use. Access to this information will promote the use of agricultural resources. Beijing Kebai and Microsoft have jointly created an Internet-based, cross-regional, and usable agricultural solution to test the application of China's agricultural Internet of Things.
Professor Li Daoliang from the School of Information and Electrical Engineering of China Agricultural University said in a report on agricultural big data at the forum that big data will enable agriculture to move forward, and productivity, utilization, and agricultural product safety all need big data support.
Li Wei, product manager of Microsoft Cloud and Enterprise Division, said that the Internet of Things is a point of convergence between traditional industries and digitalization. One problem with current big data is that information is difficult to collect across regions. Microsoft is committed to building an algorithmic support platform to help users capture, store and present data, helping Chinese companies create big data in all areas.
(Original title: Agricultural Internet of Things to promote agricultural realization)
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