【摘要】 以中耕种植夏玉米为研究对象，利用无人机搭载多光谱相机获取玉米光谱图像，并提取出NDVI植被指数，分析不同氮肥使用量条件下玉米NDVI变化规律，同时对NDVI和RISP与氮肥使用量之间的关系进行研究，建立玉米中耕施肥决策模型。分析结果表明：随着氮肥使用量的增加，玉米NDVI值逐渐变大，NDVI和RISP与氮肥使用量显著相关，建立的玉米中耕施肥决策模型拟合决定系数大于0.99,在相同产量条件下平均氮肥使用量比传统施肥模式降低约26.5%,玉米中耕施肥决策模型能够在保证玉米产量的条件下有效提高氮肥利用率。更多还原

【Abstract】 This paper takes summer maize as the research object, the UAV equipped with multi spectral camera was used to obtain maize spectral images, and the NDVI vegetation index was extracted to analyze the change rule of NDVI under different nitrogen fertilizer use conditions. At the same time, the relationship between NDVI and risp and nitrogen fertilizer use was studied, and the decision-making model of maize cultivation and fertilization was established. The results showed that with the increase of nitrogen fertilizer application, the NDVI value of maize gradually increased, and the NDVI and risp were significantly correlated with nitrogen fertilizer application. The fitting determination coefficient of the established decision-making model was greater than 0.99. Under the same yield conditions, the average nitrogen fertilizer application was reduced by about 26.5% compared with the traditional fertilization model. The decision-making model of maize intertillage fertilization could ensure the corn yield Under this condition, nitrogen use efficiency can be effectively improved.更多还原