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Construction of Remote Sensing Model of Fresh Corn Biomass Based on Neural Network

文献类型： 外文期刊

作者： Chen, Jianjian 1 ; Zhang, Hui 2 ; Bian, Yunlong 3 ; Li, Xiangnan 1 ; Lv, Guihua 1 ;

作者机构： 1.Zhejiang Acad Agr Sci, Inst Maize & Featured Upland Crops, Dongyang 322100, Zhejiang, Peoples R China

2.Zhejiang Agr Technol Extens Ctr, Hangzhou 310000, Zhejiang, Peoples R China

3.Yangzhou Univ, Coinnovat Ctr Modern Prod Technol Grain Crops, Jiangsu Key Lab Crop Genet & Physiol, Key Lab Plant Funct Genom,Minist Educ, Yangzhou 225009, Jiangsu, Peoples R China

期刊名称：COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE （ 影响因子：3.12； 五年影响因子：3.877 ）

ISSN： 1687-5265

年卷期： 2022 年 2022 卷

页码：

收录情况： SCI

摘要： Corn has a high yield and is widely used. Therefore, developing corn production and accurately estimating corn biomass yield are of great significance to improving people's lives, developing rural economy and climate issues. In this paper, a 3-layer BP neural network model is constructed by using the LM algorithm as the training algorithm of the corn biomass BP network model. From the three aspects of elevation, slope, and aspect, combined with the BP neural network model of corn biomass, the spatial distribution of corn biomass in the study area is analyzed. The results showed that the average biomass per unit area of maize increased with the increase in altitude below 1000m. There are relatively more human activities in low altitude areas, which are more active in forestry production. The best planting altitude of corn is 0 similar to 1000m. When the altitude is higher than 1000m, the corn biomass gradually decreases. In terms of slope, if the slope is lower than 15 degrees, the biomass of maize increases with the increase in slope. If the slope is lower than 15 degrees, the biomass of maize decreases gradually with the increase in slope. The biomass of maize on sunny slope was higher than that on shady slope.

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