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An LSTM neural network for improving wheat yield estimates by integrating remote sensing data and meteorological data in the Guanzhong Plain, PR China
Research article (Agricultural and Forest Meteorology, 2021) · cited 198× · AI/ML
An LSTM neural network for improving wheat yield estimates by integrating remote sensing data and meteorological data in the Guanzhong Plain, PR China
Summary
An LSTM neural network for improving wheat yield estimates by integrating remote sensing data and meteorological data in the Guanzhong Plain, PR China is a scholarly article[1].
Key Facts
An LSTM neural network for improving wheat yield estimates by integrating remote sensing data and meteorological data in the Guanzhong Plain, PR China's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). An LSTM neural network for improving wheat yield estimates by integrating remote sensing data and meteorological data in the Guanzhong Plain, PR China. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-lstm-neural-network-for-improving-wheat-yield-estimates-by-integrating-remote-sensing-data-and-meteorological-data-in
MLA“An LSTM neural network for improving wheat yield estimates by integrating remote sensing data and meteorological data in the Guanzhong Plain, PR China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-lstm-neural-network-for-improving-wheat-yield-estimates-by-integrating-remote-sensing-data-and-meteorological-data-in.
BibTeX@misc{4ortxyz_an-lstm-neural-network-for-improving-wheat-yield-estimates-by-integrating-remote-sensing-data-and-meteorological-data-in_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An LSTM neural network for improving wheat yield estimates by integrating remote sensing data and meteorological data in the Guanzhong Plain, PR China}}, year = {2026}, url = {https://4ort.xyz/entity/an-lstm-neural-network-for-improving-wheat-yield-estimates-by-integrating-remote-sensing-data-and-meteorological-data-in}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An LSTM neural network for improving wheat yield estimates by integrating remote sensing data and meteorological data in the Guanzhong Plain, PR China — https://4ort.xyz/entity/an-lstm-neural-network-for-improving-wheat-yield-estimates-by-integrating-remote-sensing-data-and-meteorological-data-in (retrieved 2026-05-24)
