[1]李珺,刘鹤,朱良宽.基于Apriori关联规则算法的草莓叶片含水状况研究[J].北方园艺,2020,44(19):146-151.[doi:10.11937/bfyy.20194451]
　LI Jun,LIU He,ZHU Liangkuan.Analysis of Association Rules of Strawberry Leaf Moisture Content Based on Spectral Reflection Characteristics[J].Northern Horticulture,2020,44(19):146-151.[doi:10.11937/bfyy.20194451]
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基于Apriori关联规则算法的草莓叶片含水状况研究

《北方园艺》[ISSN:1001-0009/CN:23-1247/S] 卷: 第44卷 期数: 2020年19 页码: 146-151 栏目: 出版日期: 2020-10-15
Title:
Analysis of Association Rules of Strawberry Leaf Moisture Content Based on Spectral Reflection Characteristics
作者:
李珺; 刘鹤; 朱良宽
（东北林业大学 机电工程学院，黑龙江 哈尔滨 150040）
Author(s):
LI Jun; LIU He; ZHU Liangkuan
(Mechanical and Electrical Engineering，Northeast Forestry University，Harbin，Heilongjiang 150040)
关键词:
草莓; 叶片含水率; 反射光谱; 关联规则
Keywords:
strawberry; leaf moisture content; reflectance spectrum; association rules
DOI:
10.11937/bfyy.20194451
文献标志码:
A
摘要:
为了更便捷准确的测量草莓叶片含水率，利用叶片含水率分析指导草莓在各个生长周期的灌溉。该文通过研究数据挖掘算法中的Apriori关联规则算法及其在分析草莓叶片水分状况方面的应用，提出一种基于Apriori算法的D算子模型，采集草莓叶片不同水分状况的光谱反射值，建立相关性系数和出错率2个衡量指标，利用所提算子模型对冠层叶片含水率与不同波段的光谱反射率之间的潜在关系进行关联规则分析，找出了干旱、轻度干旱、适量和溢水4种不同的水分处理方式下草莓光谱反射特征与叶片水分状况之间的相关关系。试验结果证实，在2 037.425～2 560.039 nm波段下，通过光谱反射率就能判断出叶片的含水状态，即当光谱反射值在101.554～101.560时，草莓叶片含水状态为干旱；当光谱反射值在98.574～99.140时，草莓叶片含水状态为轻微干旱；当光谱反射值在96.379～97.587时，草莓叶片含水状态为适量；当光谱反射值在94.583～95.902时，草莓叶片含水状态为溢水。实证分析结果表明，所提算法简化了实际操作的步骤，节省数据空间，证明了所提算法分析草莓叶片含水状况的可行性和有效性。
Abstract:
In order to measure the moisture content of strawberry leaves more conveniently and accurately,the analysis of leaf moisture content was used to guide the irrigation of strawberries in each growth cycle.By studying the Apriori association rule algorithm in data mining algorithms and its application in analyzing the moisture status of strawberry leaves,a D operator model based on the Apriori algorithm is proposed.Collect the spectral reflectance values of different water conditions of strawberry leaves,two correlation indexes of correlation coefficient and error rate were established.The proposed operator model was used to correlate the potential relationship between the water content of canopy leaves and the spectral reflectance of different bands.The rule analysis found out the correlation between the spectral reflectance characteristics of strawberry and leaf water status under four different water treatment methods：drought，mild drought，moderate and overflow.The results confirmed that the water state of the leaves could be judged by the spectral reflectance in the band of 2 037.25-2 560.039 nm，that was，when the spectral reflectance was between 101.554 and 101.560，the water content of the strawberry leaves was drought；when the spectral reflectance was 98.574.When the temperature was between 98.574-99.140，the water content of strawberry leaves was slightly drought；when the spectral reflectance was between 96.379-97.587，the water content of strawberry leaves was moderate；when the spectral reflectance was between 94.583-95.902，the water content of strawberry leaves.The empirical analysis of the overflow showed that the proposed algorithm simplifies the actual operation steps，saves the data space，and proves the feasibility and effectiveness of the proposed algorithm for analyzing the water content of strawberry leaves.

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备注/Memo

第一作者简介：李珺（1978-），女，黑龙江哈尔滨人，博士，副教授，现主要从事林业信息检测等研究工作。E-mail：lijun2010@nefu.edu.cn.基金项目：黑龙江省教育厅科学技术研究基金资助项目（12533014）。收稿日期：2019-11-27

更新日期/Last Update: 2020-12-24