| 基于LSTM算法的智能节水灌溉预测模型研究 |
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| 引用本文： | 李学军,程红.基于LSTM算法的智能节水灌溉预测模型研究[J].农机化研究,2022,44(3):22-27,32. |
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| 作者姓名： | 李学军 程红 |
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| 作者单位： | 四川大学锦城学院, 成都 611731;成都理工大学, 成都 610059 |
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| 基金项目： | 四川省科技计划研究项目(19YYJC2672)。 |
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| 摘 要： | 针对当前农田灌溉缺乏科学技术指导、水资源浪费严重的现状,为提高灌溉用水的利用效率,在智慧农业灌溉系统体系结构的基础上,提出了一种基于LSTM算法的智慧农业灌溉预测模型,可根据作物生长需求、生长环境和种植土壤等数据实现精准灌溉,能够最大程度地节约水资源.通过实验对LSTM灌溉预测模型与传统灌溉预测模型的预测值进行对比分析...
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| 关 键 词： | 智慧农业灌溉 智能节水 预测模型 LSTM算法 精准灌溉 |
Based on the Internet of Things Precision Farmland Irrigation System Key Technology Research |
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| Li Xuejun,Cheng Hong.Based on the Internet of Things Precision Farmland Irrigation System Key Technology Research[J].Journal of Agricultural Mechanization Research,2022,44(3):22-27,32. |
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| Authors: | Li Xuejun Cheng Hong |
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| Institution: | (Jincheng School,Sichuan University,Chengdu 611731,China;Chengdu University of Technology,Chengdu 610059,China) |
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| Abstract: | In view of the current situation of lack of scientific and technical guidance in farmland irrigation and serious waste of water resources,in order to improve the utilization efficiency of irrigation water,a smart agricultural irrigation prediction model based on LSTM algorithm was proposed based on the architecture of smart agricultural irrigation system.Accurate irrigation can be achieved based on data such as crop growth needs,growth environment and planting soil,which can save water resources to the maximum.Through experiments,the predicted values of LSTM irrigation prediction model and traditional irrigation prediction model are compared and analyzed.The results show that the prediction result of the LSTM model is closer to the actual value and the performance is excellent,which can provide a reliable basis for the realization of intelligent water-saving irrigation. |
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| Keywords: | intelligent agricultural irrigation intelligent water-saving prediction model long short-term memory algorithm precision irrigation |
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