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Deep Learning in IoT: An LSTM Approach for NDVI Forecasting

Research article (2023 3rd International Conference on Electronic Engineering (ICEEM), 2023) · cited 15× · AI/ML
academia openalex:W4388855826
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Deep Learning in IoT: An LSTM Approach for NDVI Forecasting

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Deep Learning in IoT: An LSTM Approach for NDVI Forecasting is a scholarly article[1].

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  • Deep Learning in IoT: An LSTM Approach for NDVI Forecasting's instance of is recorded as scholarly article[2].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Deep Learning in IoT: An LSTM Approach for NDVI Forecasting. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-in-iot-an-lstm-approach-for-ndvi-forecasting
MLA “Deep Learning in IoT: An LSTM Approach for NDVI Forecasting.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-in-iot-an-lstm-approach-for-ndvi-forecasting.
BibTeX @misc{4ortxyz_deep-learning-in-iot-an-lstm-approach-for-ndvi-forecasting_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep Learning in IoT: An LSTM Approach for NDVI Forecasting}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-in-iot-an-lstm-approach-for-ndvi-forecasting}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep Learning in IoT: An LSTM Approach for NDVI Forecasting — https://4ort.xyz/entity/deep-learning-in-iot-an-lstm-approach-for-ndvi-forecasting (retrieved 2026-05-24)

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