Agricultural refined planting whole-process management system and method

Abstract

The invention relates to an agricultural refined planting whole-process management system and method, and the system comprises a field intelligent housekeeper, a cloud data platform, a soil information collection system, an insect pest image collection and recognition system, a meteorological information real-time obtaining system, an irrigation system, and a spraying system. The whole process of regional agricultural refined planting and production practice is arranged and guided, meanwhile, a self-feedback mechanism is adopted in the management process of the growth stage, a closed-loop system is constructed, human intervention is reduced, self-complementation and self-perfection of management regulation and control decisions are achieved, and the crop productivity and economic benefits can be maximized.

Description

technical field [0001] The invention relates to the field of agricultural fine planting, in particular to a whole-process management system and method of agricultural fine planting. Background technique [0002] The agricultural intelligent management in the existing technology mostly focuses on the post-production management and control of crops, and the disciplines are subdivided and polarized. At present, there are few management systems for research on source planting; in addition, to achieve intelligent management, monitoring means are essential, but because many factors related to crop growth are mutually affected, if only one aspect is carried out Monitoring and regulation will produce many unknown adverse effects, resulting in poor regulation effect. SUMMARY OF THE INVENTION [0003] In view of the above-mentioned problems existing in the prior art, combined with the development trend of agricultural planting in the future, the present invention proposes a whole p...

AI Technical Summary

Problems solved by technology

[0002] The intelligent management of agriculture in the existing technology is mostly focused on the post-production control of crops, and the discipline subdivision and polarization characteristics are obvious; geographic spatial information such as regional climate, slope, and aspect are key factors affecting the planting of economic crops such as crops or fruit trees At present, there are few management systems that conduct research on source planting; in addition, to achieve intelligent management, monitoring means are essential, but because many factors related to crop growth are interrelated, if only one aspect is carried out Monitoring and regulation will produce many unknown adverse effects, resulting in poor regulation effect

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