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Study on Prediction of Soil Greenhouse Gas Emission Based on CNN-LSTM
Artificial Intelligence | 更新时间：2025-04-10
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    • Study on Prediction of Soil Greenhouse Gas Emission Based on CNN-LSTM

    • “In the field of greenhouse gas emission prediction, experts have proposed a method for predicting agricultural greenhouse gas emissions based on the CNN-LSTM hybrid neural network model, providing a solution to improve prediction accuracy.”
    • Software Guide   Vol. 24, Issue 3, Pages: 37-42(2025)

    • DOI：10.11907/rjdk.241052    

      CLC： TP18

    • Received：15 January 2024，

      Published：15 March 2025

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  • LI Yarong,YAN Zhengang,GAO Liuyu.Study on Prediction of Soil Greenhouse Gas Emission Based on CNN-LSTM[J].Software Guide,2025,24(03):37-42. DOI： 10.11907/rjdk.241052.

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