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- W2036464790 abstract "The low water and nitrogen utilization rates and environmental pollution as a result of the excessive irrigation and fertilization had been paid more and more attention. Adopting the simulation model based on physiological processes to study the optimization method and control technology of agricultural production and management is important to water-saving, rational fertilization and healthy environment. The maize (Zea mays L) is taken as material to explore the integration method of crop simulation with wireless sensing data. First the time scale and temporal scale of wireless sensing data will be unified with simulation step of crop model when the parameters are used as model inputs. Then the relationship between nitrogen balance and soil moisture will be analyze to construct maize production and management monitoring and control system based on wireless sensing data. The system can not only simulate the real-time and dynamic maize growth and development, but also provide the irrigation and fertilization schedule to distribute the annual natural resources depend on the users production goal. The expected forecast results will offer theoretical basis and technological support for intelligent control, water and fertilizer utilization, and management of agricultural production departments." @default.
- W2036464790 created "2016-06-24" @default.
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- W2036464790 date "2013-11-01" @default.
- W2036464790 modified "2023-10-14" @default.
- W2036464790 title "Design of Maize Production and Management Monitoring and Control System Based on Wireless Sensing Data" @default.
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- W2036464790 doi "https://doi.org/10.4028/www.scientific.net/amm.462-463.126" @default.
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