Artificial forest land research system and method based on pinus tabulaeformis
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A technology for researching systems and artificial forests, applied in the field of forestry, can solve problems such as single function, low degree of refinement, and difficulty in predicting planting information of different crops, and achieve the effects of comprehensive data collection, improved fertilization, and maximized crop benefits
Pending Publication Date: 2020-08-21
NORTHWEST A & F UNIV
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[0004] The purpose of the present invention is to provide a research system and method based on Pinus tabulaeformis plantations, the system can judge the quality of plantations in this area based on the growth status of Pinus tabulaeformis, and the system can judge other economic crops based on the quality of plantations The growth and income status of the system can avoid investment risks, and the management strategy of economic crops can be sp...
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[0034] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.
[0035] see figure 1 As shown, the present invention is a research system based on Pinus tabulaeformis artificial forest land, comprising a data acquisition input module 1, a controller 2, a VR simulation module 5, a forest land quality evaluation module 6, a growth and harvest prediction module 7 and a management decision module 8, data The output terminal of the collection input module 1 is connected to the input terminal of the controller 2 through a wireless net...
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Abstract
The invention discloses an artificial forest land research system and method based on pinus tabulaeformis, and relates to the technical field of forestry. The research system comprises a data acquisition and input module, a controller, a VR simulation module, a forest land quality evaluation module, a growth and harvest prediction module and an operation decision module. The output end of the dataacquisition input module is connected with the input end of the controller through a wireless network, and the output end of the VR simulation module, the output end of the forest land quality evaluation module, the output end of the growth and harvest prediction module and the output end of the operation decision module are electrically connected with the input end of the controller. The systemis based on the growth condition of the Chinese pine, and judges the quality of the artificial forest land in the region. The system can judge the growth income conditions of other commercial crops based on the quality of the artificial forest land, can specify the operation strategy of the commercial crops and improve the planting effect of the crops, and can simulate the planting scenes of different crops through the arrangement of the VR simulation module so as to further improve the planting effect in the future.
Description
technical field [0001] The invention belongs to the technical field of forestry, in particular to a research system and method based on Chinese pine plantation. Background technique [0002] Pinus tabulaeformis is a coniferous evergreen tree of Pinaceae, up to 30 meters high, diameter at breast height up to 1 meter, the lower part of the bark is grayish brown, cracked into irregular scales, large branches are flat or inclined upwards, old trees have flat tops, branchlets are thick, male balls Style-shaped, 1.2-1.8 cm long, clustered in the lower part of new branches in a spike-like shape, cones ovate or ovoid, 4-7 cm long, seeds 6-8 mm long, wings 1.5-2.0 cm long, wings are Seeds are 2-3 times as long, flowering in May, and cones mature in early to mid-October of the second year. Pinus tabulaeformis is a positive tree species, deep-rooted, light-loving, barren-resistant, and wind-resistant. It is acidic in deep soil and well-drained. , neutral or calcareous loess, can grow ...
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