Research on a Complete Set of Intelligent Agricultural Protection Equipment Based on AIoT and Knowledge Graph Technology for Remote Spectral Flight Control

Yuezhuo Fan

doi:10.54097/7s5m7025

Authors

Yuezhuo Fan

DOI:

https://doi.org/10.54097/7s5m7025

Keywords:

AIoT, Hyperspectral Imaging, Spectral-Enabled Flight Control, Intelligent Weeding Knowledge Graph

Abstract

In response to the problems existing in the traditional extensive agricultural protection mode, such as low monitoring coverage, blind pesticide usage, low herbicide efficiency, and poor adaptability to low-growing crops, combined with the demand for fragmented operations in small-scale farmland in China, this paper has developed a set of intelligent agricultural protection equipment for crops based on AIoT and knowledge graph technology. This equipment integrates high-altitude inspection by drones and ground operation by agricultural protection carts, innovatively applying high-spectrum imaging technology to solve the problem of monitoring low-growing crop canopies, adopting a combined structure of physical cutting and chemical inhibition to optimize the control effect of weeds, and completing the parameter selection of power motors and active shaft servo motors through theoretical calculation and the construction of intelligent algorithms, to achieve a closed-loop operation system of "monitoring - analysis - decision - execution". Through multiple sets of repeated field tests, the accuracy rate of disease and pest detection and weed detection of the equipment reached 97.5%, the chemical pesticide saving rate was 87%, the weed removal rate was 88.3%, and the operation efficiency was 62.5% higher than that of manual operations. All performance indicators met the research goals. The research results show that this equipment is suitable for operations in various terrains, has controllable costs, and can provide low-cost and practical intelligent agricultural protection solutions for small-scale farmland, effectively filling the gap in precise agricultural protection technology for low-growing crops, improving the integration application system of AIoT and knowledge graph technology in the field of smart agriculture, and having important theoretical value and practical significance for promoting agricultural cost reduction and efficiency improvement and green sustainable development.

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