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Estimating reference crop evapotranspiration using improved convolutional bidirectional long short-term memory network by multi-head attention mechanism in the four climatic zones of China
Research article (Agricultural Water Management, 2024) · cited 35× · AI/ML
Estimating reference crop evapotranspiration using improved convolutional bidirectional long short-term memory network by multi-head attention mechanism in the four climatic zones of China
Summary
Estimating reference crop evapotranspiration using improved convolutional bidirectional long short-term memory network by multi-head attention mechanism in the four climatic zones of China is a scholarly article[1].
Key Facts
Estimating reference crop evapotranspiration using improved convolutional bidirectional long short-term memory network by multi-head attention mechanism in the four climatic zones of 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). Estimating reference crop evapotranspiration using improved convolutional bidirectional long short-term memory network by multi-head attention mechanism in the four climatic zones of China. Retrieved May 24, 2026, from https://4ort.xyz/entity/estimating-reference-crop-evapotranspiration-using-improved-convolutional-bidirectional-long-short-term-memory-network-b
MLA“Estimating reference crop evapotranspiration using improved convolutional bidirectional long short-term memory network by multi-head attention mechanism in the four climatic zones of China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/estimating-reference-crop-evapotranspiration-using-improved-convolutional-bidirectional-long-short-term-memory-network-b.
BibTeX@misc{4ortxyz_estimating-reference-crop-evapotranspiration-using-improved-convolutional-bidirectional-long-short-term-memory-network-b_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Estimating reference crop evapotranspiration using improved convolutional bidirectional long short-term memory network by multi-head attention mechanism in the four climatic zones of China}}, year = {2026}, url = {https://4ort.xyz/entity/estimating-reference-crop-evapotranspiration-using-improved-convolutional-bidirectional-long-short-term-memory-network-b}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Estimating reference crop evapotranspiration using improved convolutional bidirectional long short-term memory network by multi-head attention mechanism in the four climatic zones of China — https://4ort.xyz/entity/estimating-reference-crop-evapotranspiration-using-improved-convolutional-bidirectional-long-short-term-memory-network-b (retrieved 2026-05-24)
