Recurrent neural network based automatic water-saving rice field irrigation system and method

A technology of cyclic neural network and irrigation system, applied in the field of big data and Internet technology and irrigation, can solve the problems of poor water use effect and emission reduction effect, and achieve the effect of improving water waste, improving utilization rate, and precise irrigation

Inactive Publication Date: 2020-02-04
ZHEJIANG UNIV
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Problems solved by technology

[0003] The technical problem to be solved by the present invention is to improve the traditional irrigation method in view of the poor water use effect and emission reduction effect of the traditional irrigation method in the growth of r...

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  • Recurrent neural network based automatic water-saving rice field irrigation system and method
  • Recurrent neural network based automatic water-saving rice field irrigation system and method
  • Recurrent neural network based automatic water-saving rice field irrigation system and method

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Embodiment

[0039] Taking single-cropping rice as an example, the water-saving irrigation management method for rice is set as follows: 1) After the rice is sown in June of that year, the seedlings are transplanted to the flat field after 2 to 3 weeks of seedling raising period. There is shallow water. At this time, it is necessary to irrigate and maintain the flooded layer of about 2 to 4 cm on the field surface to ensure that the rice can survive and turn green; 2) From July to August, about 10 days after the seedlings are transplanted (the rice turns green and enters the middle and late stage of tillering) once. The water level of the irrigated paddy field is about 7cm (5~8cm is acceptable, depending on the local rainfall and climate conditions), and the water level of the field surface naturally drops below the soil surface with time, and is in a state of drying; When the soil texture and external environment of the paddy field change, choose the right time, irrigate again to the initi...

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Abstract

The invention discloses a recurrent neural network based automatic water-saving rice field irrigation system, which mainly comprises a data collection unit, a data processing unit, a master control processing unit, a remote communication unit, an onsite control unit and a mobile terminal unit. A RNN mode recognition system is constructed in the master control processing unit, and real-time information, including soil humidity, potential of hydrogen, temperature, corresponding water levels and the like collected in a water-saving irrigation mode, of a rice field in different periods is comparedwith corresponding reference thresholds in different periods. The system has advantages that on and off of valves are controlled according to data comparison results of a recurrent neural network soas to further control flood irrigation flow to realize accurate irrigation, and accordingly water saving is realized while crop growth is guaranteed, and agricultural non-point source pollution is reduced while unattended irrigation and complete intelligent management are realized. The system can be applied to the field of agricultural irrigation.

Description

technical field [0001] The invention relates to the fields of big data and Internet technology and irrigation technology, in particular to an automatic water-saving irrigation system for paddy fields based on a cyclic neural network, which is used for on-demand irrigation in paddy field growth periods. Background technique [0002] Rice is the main food crop in my country. The traditional flood irrigation mode not only consumes a lot of water, which leads to serious waste of water resources, low water utilization, but also easily causes environmental non-point source pollution. With the rapid population growth and economic development in our country, one of the biggest problems our country faces is water shortage. Water shortage seriously restricts the sustainable development of agriculture, so at present, the water-saving cultivation mode has gradually replaced the traditional flooding and flooding cultivation mode. Water-saving irrigation mode can significantly improve wa...

Claims

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Application Information

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IPC IPC(8): A01G25/16
CPCA01G25/165A01G25/167
Inventor 梁新强王子琬
Owner ZHEJIANG UNIV
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