Precise topdressing method for rice agricultural UAV based on hyperspectral remote sensing prescription map
A hyperspectral remote sensing and unmanned aerial vehicle technology, applied in the field of precise topdressing of rice agricultural drones, can solve the problem of lack of decision-making basis for topdressing
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Embodiment 1
[0054] The experimental site of the experimental field is located in Liutiaohe Village, Shenbei New District, Shenyang City, Liaoning Province (latitude N42°01′17.16″, longitude E123°38′14.57″), which belongs to a typical cold rice planting area, and the experimental variety is "Jingyou 653". The test was carried out from May to November 2019, and the important key time points of the test are shown in Table 1:
[0055] Table 1 Key test time nodes
[0056] Table1 The key test time node
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[0059] The number of the experimental fields is 4, named CK, N1, N2 and N3 respectively, the CK is the control group, and no nitrogen fertilizer is applied; the N1 is the local standard nitrogen fertilizer application level, and the nitrogen fertilizer application rate is 45kg / ha, so The N2 is the low nitrogen fertilization level, and the application rate is 0.5 times that of N1; the N3 is the high nitrogen fertilization level, and the application rate is 1.5 times that...
Embodiment 2
[0061] The UAV hyperspectral remote sensing image acquisition device includes a UAV and a hyperspectral imager. The UAV hyperspectral platform is an M600 PRO six-rotor UAV of Shenzhen DJI Innovation Company. The hyperspectral imager The GaiaSky-mini built-in push-broom airborne hyperspectral imaging system of Sichuan Shuangli Hepu Company is selected; the hyperspectral band range of the hyperspectral imager is set to 400nm-1000nm, its resolution is 3.5nm, and the number of effective bands is 170, the acquisition time of a single image is 15 seconds, the frame rate is 162fps, and the flying height of the drone is 100m.
[0062] Due to the large proportion of water layer in the paddy field during the tillering stage of rice, if the traditional hyperspectral acquisition time is used, it will be disturbed by specular reflection, resulting in spectral pollution. Therefore, in order to obtain better data quality, the present invention selects the UAV hyperspectral data collection ti...
Embodiment 3
[0064] The rice growth parameters include rice leaf nitrogen content, rice yield and rice field soil nitrogen content.
[0065] Determination of nitrogen content in rice leaves: destructive sampling was carried out for the rice at the sampling point in each experimental field, and all the fresh leaves of the rice in the hole were cut off and placed in an oven at 120 ° C for 60 min, and then at 65 ℃ drying to constant weight. After weighing, it was pulverized, and the pulverized powder was tested for nitrogen content (mg / g) of leaves by Kjeldahl method.
[0066] Determination of rice yield: rice with a range of 2 m × 2 m was taken from each experimental field at harvest, and the thousand-grain weight and grain yield were measured.
[0067] Determination of soil nitrogen content in paddy fields: Soil samples were collected according to the five-point sampling method in each experimental field, and the collection depth was 10-20cm. The soil at 5 points was mixed, passed through ...
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