多源图像融合技术在棉花病虫害诊断中的应用

Identification and Diagnosis of Cotton Disease Based on Multi-source Image Fusion Technology

针对棉花作物病虫害特征,结合光谱技术和计算机技术,研究棉花在不同病虫害条件下的反射光谱特性及变化规律,以探明其光谱敏感波段和特征表现;基于多传感信息融合的病虫害识别诊断方法,以构建棉花病虫害智能识别系统,为精确棉花病虫害管理和机械化变量施药技术提供理论基础。

According to the characteristics of pests and diseases of cotton crops,combining with spectroscopic techniques and computer technology,the reflectance characteristics and variation regulation of cotton under different disease condions were studied to explore the spectral sensitivity band and characteristics.Based on disease recognition diagnostic methods with fusion multi-sensor information,intelligent cotton disease recognition system were constructed to provide theory basis for precise management of cotton disease and mechanized variable drug delivery techniques.