The invention discloses an oil sunflower field precise fertilization control system based on an unmanned aerial vehicle hyperspectral technology, and relates to the technical field of fertilization control. The system carries out precise region division on an oil sunflower field by utilizing a GIS technology through fusion of multi-source data such as hyperspectral data, soil humidity and temperature; and accurate fertilization can be carried out in different management areas according to soil characteristics and crop requirements. The differentiated fertilization strategy can reduce excessive fertilization and fertilizer waste and optimize the utilization efficiency of the fertilizer. The crop growth model is established through the deep learning technology, and the system can accurately calculate the required fertilization amount according to the specific growth conditions and historical data of each region, so that the growth conditions of the oil sunflowers are optimized, and the overall yield of crops is improved. The problem that a traditional fertilization system is difficult to effectively deal with soil and environment differences in different areas is solved. Through a hyperspectral technology and multi-source data acquired by a sensor, the system can realize accurate fertilization according to environmental differences in a field.
本发明公开了一种基于无人机高光谱技术的油葵大田精准施肥控制系统,涉及施肥控制技术领域,系统通过高光谱数据、土壤湿度和温度等多源数据的融合,利用GIS技术对油葵大田进行精确区域划分,确保不同管理区域根据其土壤特性和作物需求进行精准施肥。这种差异化的施肥策略能够减少过度施肥和肥料浪费,优化肥料利用效率。通过深度学习技术建立作物生长模型,系统可以根据每个区域的特定生长条件和历史数据,精准计算所需的施肥量,从而优化油葵的生长条件,提高作物的整体产量。本发明解决了传统施肥系统难以有效应对不同区域的土壤和环境差异的问题。通过高光谱技术和传感器采集的多源数据,系统能够根据大田内的环境差异实现精准施肥。
Oil sunflower field precise fertilization control system based on unmanned aerial vehicle hyperspectral technology
一种基于无人机高光谱技术的油葵大田精准施肥控制系统
2025-02-25
Patent
Electronic Resource
Chinese
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