饲料玉米品质分析的化学计量学方法
Agricultural Science & Technology and Equipment（2022）
Abstract
以饲料玉米为研究对象,采用化学计量学方法,利用全波段光谱数据建立玉米粗蛋白预测的简单快速精准预测模型.结果表明:原始光谱经去趋势算法预处理后,Rank-KS算法选择校正集和预测集,使用偏最小二乘(Partial least square,PLS)方法进行建模,校正集和预测集的相关系数分别为0.9915和0.9813,校正集和预测集的均方根误差分别为0.0634和0.1138.预测集的相对分析误差RPD为5.02,大于评估阈值3.0.所建模型精度和稳定性较为理想,可满足在线生成检测的要求.
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