The preliminary study of nitrogen in cotton leaf based on artificial neutral network

文献类型： 外文期刊

第一作者： Li, Xiaozheng

作者： Li, Xiaozheng;Wang, Keru;Li, Shaokun;Xie, Ruizhi;Gao, Shiju

作者机构：

关键词： line network;BP network;RBF ( radical basis function ) network;input vectors;digital image

期刊名称：PROGRESS OF INFORMATION TECHNOLOGY IN AGRICULTURE

ISSN：

年卷期： 2007 年

页码：

收录情况： SCI

摘要： Trying to find the method of acquiring the nitrogen quantity by leaf digital information based on Artificial neutral network (ANN). The best network and the most suitable vectors by comparing with the results of line network, BP network and RBF network with six input vectors were selected. It has a lot of advantage using RBF in monitoring the nitrogen content of cotton leave by using its digital information HIS, and RBF is a very useful network in digital image processing. Because of local smallest, simple framework, and training rapid, RBF network can achieve the objective of nitrogen quantity by digital image information, and validate the application of ANN in agriculture.

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