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
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[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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