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Updated: Jun 14, 2025

Semi-High Throughput Screening for Potential Drought-tolerance in Lettuce Lactuca sativa Germplasm Collections
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预测农业和气象干旱使用霍尔特冬季常规二维长期短期存储器 (HW-Conv2DLSTM)

L Gowri1, K R Manjula1, S Pradeepa1

  • 1School of Computing, SASTRA Deemed University, Thanjavur, India, 613401.

Environmental monitoring and assessment
|September 2, 2024
PubMed
概括

本研究介绍了一种使用卫星图像和霍尔特冬季常规二维长期短期记忆 (HW-Conv2DLSTM) 模型的新型干旱监测系统. 该系统准确预测气象和农业干旱,这对于保护作物产量和粮食安全至关重要.

关键词:
这就是ConvLSTM.深度学习模型深度学习模型预测干旱的情况降水量 降水量 降水量植被指数 植被指数

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