Home ›
Entities
› academia
› Bridging the gap between hyperspectral imaging and crop breeding: soybean yield prediction and lodging classification with prototype contrastive learning
Bridging the gap between hyperspectral imaging and crop breeding: soybean yield prediction and lodging classification with prototype contrastive learning
Research article (Computers and Electronics in Agriculture, 2025) · cited 12× · AI/ML
Bridging the gap between hyperspectral imaging and crop breeding: soybean yield prediction and lodging classification with prototype contrastive learning
Summary
Bridging the gap between hyperspectral imaging and crop breeding: soybean yield prediction and lodging classification with prototype contrastive learning is a scholarly article[1].
Key Facts
Bridging the gap between hyperspectral imaging and crop breeding: soybean yield prediction and lodging classification with prototype contrastive learning's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Bridging the gap between hyperspectral imaging and crop breeding: soybean yield prediction and lodging classification with prototype contrastive learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/bridging-the-gap-between-hyperspectral-imaging-and-crop-breeding-soybean-yield-prediction-and-lodging-classification-wit
MLA“Bridging the gap between hyperspectral imaging and crop breeding: soybean yield prediction and lodging classification with prototype contrastive learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/bridging-the-gap-between-hyperspectral-imaging-and-crop-breeding-soybean-yield-prediction-and-lodging-classification-wit.
BibTeX@misc{4ortxyz_bridging-the-gap-between-hyperspectral-imaging-and-crop-breeding-soybean-yield-prediction-and-lodging-classification-wit_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Bridging the gap between hyperspectral imaging and crop breeding: soybean yield prediction and lodging classification with prototype contrastive learning}}, year = {2026}, url = {https://4ort.xyz/entity/bridging-the-gap-between-hyperspectral-imaging-and-crop-breeding-soybean-yield-prediction-and-lodging-classification-wit}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Bridging the gap between hyperspectral imaging and crop breeding: soybean yield prediction and lodging classification with prototype contrastive learning — https://4ort.xyz/entity/bridging-the-gap-between-hyperspectral-imaging-and-crop-breeding-soybean-yield-prediction-and-lodging-classification-wit (retrieved 2026-05-24)
