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Improving wheat yield estimates using data augmentation models and remotely sensed biophysical indices within deep neural networks in the Guanzhong Plain, PR China
Research article (Computers and Electronics in Agriculture, 2021) · cited 42× · AI/ML
Improving wheat yield estimates using data augmentation models and remotely sensed biophysical indices within deep neural networks in the Guanzhong Plain, PR China
Summary
Improving wheat yield estimates using data augmentation models and remotely sensed biophysical indices within deep neural networks in the Guanzhong Plain, PR China is a scholarly article[1].
Key Facts
Improving wheat yield estimates using data augmentation models and remotely sensed biophysical indices within deep neural networks in the Guanzhong Plain, PR China's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Improving wheat yield estimates using data augmentation models and remotely sensed biophysical indices within deep neural networks in the Guanzhong Plain, PR China. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-wheat-yield-estimates-using-data-augmentation-models-and-remotely-sensed-biophysical-indices-within-deep-neura
MLA“Improving wheat yield estimates using data augmentation models and remotely sensed biophysical indices within deep neural networks in the Guanzhong Plain, PR China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-wheat-yield-estimates-using-data-augmentation-models-and-remotely-sensed-biophysical-indices-within-deep-neura.
BibTeX@misc{4ortxyz_improving-wheat-yield-estimates-using-data-augmentation-models-and-remotely-sensed-biophysical-indices-within-deep-neura_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving wheat yield estimates using data augmentation models and remotely sensed biophysical indices within deep neural networks in the Guanzhong Plain, PR China}}, year = {2026}, url = {https://4ort.xyz/entity/improving-wheat-yield-estimates-using-data-augmentation-models-and-remotely-sensed-biophysical-indices-within-deep-neura}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improving wheat yield estimates using data augmentation models and remotely sensed biophysical indices within deep neural networks in the Guanzhong Plain, PR China — https://4ort.xyz/entity/improving-wheat-yield-estimates-using-data-augmentation-models-and-remotely-sensed-biophysical-indices-within-deep-neura (retrieved 2026-05-24)
