Agricultural big data is the application of big data concepts, technologies and methods in agricultural production practice, from production to sales, in every link of the whole process, to the specific display of data analysis and mining and data visualization. Let the data "speak" to support and guide the large-scale, professional and healthy production of agriculture.Combining the characteristics of agriculture itself and the way of segmenting the entire agricultural industry chain, agricultural big data can be divided into four categories: agricultural resource big data, agricultural production big data, agricultural market and agricultural management big data.
Agricultural resources big data mainly includes: labor force, land resource data, water resource data, meteorological resource data, biological resource data and disaster data, etc.These are mainly to help farmers understand the environmental climate, soil fertility and other factors to determine which crops are suitable for planting.
Big data on agricultural production includes plantation production data and aquaculture production data. Among them, planting production data mainly refers to various index data in the process of crop sowing: improved seed information, seedling information, sowing information, pesticide information, fertilizer information, irrigation information, agricultural machinery information and agricultural situation information. HENGKO developed temperature and humidity IOT monitoring and control technology, can deal with the temperature and humidity remote monitoring requirement. With many years experiences of production high quality temperature and humidity instructment , HENGKO provides a strong support to temperature and humidity IOT enviroment monitoring.
Statistical analysis of output data can help revise the analysis of the output model and estimate the output of the next year in advance; the production data of the aquaculture industry mainly includes individual system profile information, individual characteristic information, feed structure information, housing environment information, and epidemic situation.
The agricultural market data includes the supply data and price data of agricultural and sideline products in various wholesale markets. Agricultural products are all sold, and you cannot patronize the seeds without understanding the market.Agricultural products are all sold, and you cannot patronize the seeds without understanding the market. Only by understanding the market conditions can production be arranged scientifically, so that the market tends to balance supply and demand, and avoid oversupply, resulting in unsalable products.
Agricultural management data mainly includes basic information on the national economy, domestic production information, trade information, international agricultural product dynamics, and emergency information.
With the development and construction of agriculture and the application of the Internet of Things, the application of agricultural big data has become more and more extensive, and the development of agricultural big data has ushered in a major opportunity.
Post time: May-15-2021
