Maize yield prediction using federated random forest

Research article (Computers and Electronics in Agriculture, 2023) · cited 37× · AI/ML

academia openalex:W4378894091

Press Enter · cited answer in seconds

Maize yield prediction using federated random forest

Summary

Maize yield prediction using federated random forest is a scholarly article^[1].

Key Facts

Maize yield prediction using federated random forest's instance of is recorded as scholarly article^[2].

⭐ Popularity Graph

0/100 long tail

📊 Google Search Volume

no search data yet

Quick Facts

Instance of scholarly article

🔗 Connections

Authored by 7

Chunjiang Zhao, Kaiyi Wang, Qiusi Zhang, Shouhui Pan, Xiangyu Zhao, Yanyun Han, Zhongqiang Liu

← Author of 7

Chunjiang Zhao, Kaiyi Wang, Qiusi Zhang, Shouhui Pan, Xiangyu Zhao, Yanyun Han, Zhongqiang Liu

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

[2] ↑ Maize yield prediction using federated random forest — instance of (P31): scholarly article. wikidata.org.

Class ancestry

[1] ↑ Maize yield prediction using federated random forest is an instance of scholarly article (scholarly article) [P31, primary]. Wikidata. wikidata.org.

📑 Cite this page

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.

APA

4ort.xyz Knowledge Graph. (2026). Maize yield prediction using federated random forest. Retrieved May 24, 2026, from https://4ort.xyz/entity/maize-yield-prediction-using-federated-random-forest

MLA

“Maize yield prediction using federated random forest.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/maize-yield-prediction-using-federated-random-forest.

BibTeX

@misc{4ortxyz_maize-yield-prediction-using-federated-random-forest_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Maize yield prediction using federated random forest}}, year = {2026}, url = {https://4ort.xyz/entity/maize-yield-prediction-using-federated-random-forest}, note = {Accessed: 2026-05-24}}

LLM prompt

According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Maize yield prediction using federated random forest — https://4ort.xyz/entity/maize-yield-prediction-using-federated-random-forest (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/maize-yield-prediction-using-federated-random-forest · Last refreshed: May 24, 2026