Research on vision navigation and position system of agricultural unmanned aerial vehicle

ABSTRACT

Precision agriculture requires the allocation of the minimum amount of resources to each piece of land in order to maximize the benefit while having a minimal economic and environmental impact. Based on this principle, precision pesticide spraying for farmland pests requires precise identification of plant features and in-flight management. The spraying rate spray needs to be accurate and uniform and targeted at the plant regions that suffer from disease and pests. The intelligent spraying technology is also used. In this paper, the navigation needs of a UAV (unmanned aerial vehicle) are studied. Hyperspectral imaging is used for field crops to combine plant location data with visual data for precision management of the crop spraying process. GPS (Global Positioning System) positioning and hyperspectral image features such as crop growth status and nutritional status are combined to achieve human-computer intelligent spraying visual servo control.

KEYWORDS:

• Accurate positioning operation
• unmanned aerial vehicle
• global positioning system
• hyperspectral image system
• simultaneous localization and mapping

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the Key Research and Development Plan of Liaoning Province [2019JH2/10200002].