水稻联合收割机喂入密度检测方法初探

Detection method on feed density for rice combine

摘要: 为了实现水稻联合收割机作业时适宜喂入量的控制，从而降低作业时谷物的破碎率和损失率，首先要解决实时获取喂入密度的问题。该文通过水稻冠层密度图像光谱分析，以2R+G颜色特征参数值作为收割机喂入密度特征，并与实际测得的喂入密度值进行拟合建立模型。结果表明：不同时期，不同品种水稻拟合的曲线均达到显著水平，决定系数达到 0.88 以上，能够实现喂入密度的检测。该研究为联合收割机喂入量控制提供了参考依据。

Abstract: ?In order to realize control of suitable feed quantity and decrease breakage and lose rate，feed density should be obtained firstly. According to RGB color image spectral analysis of rice, 2R+G color feature parameters were used as the feature of feed density of combine. Functional relationships between 2R+G color feature parameters and actual feed density was established. Results showed that fitting curves were obtained to the remarkable level by the differences of variety and growth period. Feed density of the correlation coefficient of all models was higher than 0.88. This method can provide references to the control of feed quantity.