数字农科院2.0

Using UAVs in Potato Growing: Diseases Diagnostics, Liquid Spraying

文献类型： 外文期刊

作者： Elena Shkodina;Andrey Ronzhin;Hongbiao Ding

作者机构：

关键词： Artificial intelligence;Computer vision;Desiccation;Lidar;Novgorod;Potato;Potato diseases diagnostics;UAV;Unmanned aerial vehicles

期刊名称： Smart Innovation, Systems and Technologies

ISSN： 2190-3018

年卷期： 2026 年 453 SIST 卷

页码：

收录情况： EI（2025版）

摘要： The paper considers agricultural unmanned aerial vehicles in growing potatoes for monitoring soil relief, calculating plant biomass, diagnosing diseases, and applying liquid preparations. When using UAVs, it will be necessary to change the concentration of solutions of active substances used in classic versions of agricultural technologies based on ground sprayers. Also relevant is the development of artificial intelligence technologies for computer processing of data recorded by onboard lidars and video cameras to assess soil relief, the quality of potato tops, and diagnose diseases. The results of 2024 work on the creation of the Novgorod experimental field for testing new digital and robotic agricultural technologies are presented. A plan for conducting experimental work on potatoes has been formulated, which provides for growing potatoes using standard technology using ground-based equipment, as well as options in which the treatment of plantings using UAVs will be tested in operations for treating diseases, pests, and desiccating tops. For the application of liquid substances and field monitoring, our own agricultural unmanned aerial vehicles with a payload weight of 12 kg, a flight range of up to 25 km, a flight time of up to 20 min, equipped with quick-release specialized nozzles, video cameras are used.

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