Hyperspectral Recognition of Rice Damaged by Rice Leaf Roller Based on Support Vector Machine 基于支持向量机(SVM)的稻纵卷叶螟危害水稻高光谱遥感识别
First of all this paper established a mathematical model of the key parts of a contact typed step measuring instrument a lever mechanism with cross leaf spring support and carried on a preliminary design of this mechanism. 首先建立了接触式台阶测量仪中关键部件&十字片簧支承的杠杆机构的数学模型并对其进行初步设计。
First the algorithm of live-ware segmentation was used to find disease part and the algorithm of the wavelet feature extraction was used to make the corn disease leaf the characteristic vectors, then the support vector machine classification method was applied to recognize the disease. 首先利用Live-Ware分割算法分割出玉米叶部病灶,再利用小波特征提取算法提取病灶的特征向量,最后利用支持向量机分类方法进行病害的识别。
The corn leaf disease image recognition experiment indicates that Support Vector Machine classification method suits the small sample situation and has the better classification ability. The method suits corn leaf disease classification. 玉米叶部病害图像识别试验结果表明,支持向量机分类方法适合小样本情况,具有良好的分类能力,适合多种玉米叶部病害的分类。
Potassium content in the tobacco leaf direct effect aroma quality and aroma amount of tobacco, direct effect smoldering fire support of tobacco, and in connection with the safety of tobacco products, which is one of the important indicators to measure the quality of tobacco. 烟叶钾含量直接影响烟叶的香气质、香气量和阴燃持火力,并与卷烟制品的安全性有关,是衡量烟叶质量高低的重要指标之一。