2023年 03期

摘要(Abstract)：

为了解决大规模生长环境变量所带来的计算复杂度较高的问题，采用细菌觅食优化多核支持向量机算法对农作物产量进行预测分析，从而实现作物生长环境的最优控制；首先，采用高斯核函数、多项式核函数和Sigmoid核函数组合方式建立多核支持向量机，其输入为作物生长环境，采用细菌觅食优化算法优化核函数关键参数；其次，利用多核函数的参数构建菌群进行训练，设置作物产量作为细菌觅食优化算法适应度；最后，通过菌群位置更新优化后的最优核函数参数进行多核支持向量机优化求解，获得空气温度、湿度，土壤温度、湿度等生长环境特征数据。结果表明，选择合适的多核函数组合，并合理设置细菌觅食优化算法的引力和斥力系数、迁徙概率阈值等参数，能够获得最高产量所对应的作物生长环境特征数据。

关键词(KeyWords)： 智慧农业;多核支持向量机;细菌觅食优化算法;生长环境

基金项目(Foundation):国家自然科学基金项目(71773033);; 2020年度广西高校中青年教师科研基础能力提升项目(2020KY14025);; 2019年度广西民族地区文化建设与社会治理研究中心研究项目(2019YJJD0008)

作者(Author): 蔡桂全,陶建平

DOI: 10.13349/j.cnki.jdxbn.20230330.001

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