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Combining spectrum, thermal, and texture features using machine learning algorithms for wheat nitrogen nutrient index estimation and model transferability analysis
Research article (Computers and Electronics in Agriculture, 2024) · cited 37× · AI/ML
Combining spectrum, thermal, and texture features using machine learning algorithms for wheat nitrogen nutrient index estimation and model transferability analysis
Summary
Combining spectrum, thermal, and texture features using machine learning algorithms for wheat nitrogen nutrient index estimation and model transferability analysis is a scholarly article[1].
Key Facts
Combining spectrum, thermal, and texture features using machine learning algorithms for wheat nitrogen nutrient index estimation and model transferability analysis's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Combining spectrum, thermal, and texture features using machine learning algorithms for wheat nitrogen nutrient index estimation and model transferability analysis. Retrieved May 24, 2026, from https://4ort.xyz/entity/combining-spectrum-thermal-and-texture-features-using-machine-learning-algorithms-for-wheat-nitrogen-nutrient-index-esti
MLA“Combining spectrum, thermal, and texture features using machine learning algorithms for wheat nitrogen nutrient index estimation and model transferability analysis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/combining-spectrum-thermal-and-texture-features-using-machine-learning-algorithms-for-wheat-nitrogen-nutrient-index-esti.
BibTeX@misc{4ortxyz_combining-spectrum-thermal-and-texture-features-using-machine-learning-algorithms-for-wheat-nitrogen-nutrient-index-esti_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Combining spectrum, thermal, and texture features using machine learning algorithms for wheat nitrogen nutrient index estimation and model transferability analysis}}, year = {2026}, url = {https://4ort.xyz/entity/combining-spectrum-thermal-and-texture-features-using-machine-learning-algorithms-for-wheat-nitrogen-nutrient-index-esti}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Combining spectrum, thermal, and texture features using machine learning algorithms for wheat nitrogen nutrient index estimation and model transferability analysis — https://4ort.xyz/entity/combining-spectrum-thermal-and-texture-features-using-machine-learning-algorithms-for-wheat-nitrogen-nutrient-index-esti (retrieved 2026-05-24)
