Home ›
Entities
› academia
› Integration of high resolution remotely sensed data and machine learning techniques for spatial prediction of soil properties and corn yield
Integration of high resolution remotely sensed data and machine learning techniques for spatial prediction of soil properties and corn yield
Research article (Computers and Electronics in Agriculture, 2018) · cited 330× · AI/ML
Integration of high resolution remotely sensed data and machine learning techniques for spatial prediction of soil properties and corn yield
Summary
Integration of high resolution remotely sensed data and machine learning techniques for spatial prediction of soil properties and corn yield is a scholarly article[1].
Key Facts
Integration of high resolution remotely sensed data and machine learning techniques for spatial prediction of soil properties and corn yield'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). Integration of high resolution remotely sensed data and machine learning techniques for spatial prediction of soil properties and corn yield. Retrieved May 24, 2026, from https://4ort.xyz/entity/integration-of-high-resolution-remotely-sensed-data-and-machine-learning-techniques-for-spatial-prediction-of-soil-prope
MLA“Integration of high resolution remotely sensed data and machine learning techniques for spatial prediction of soil properties and corn yield.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/integration-of-high-resolution-remotely-sensed-data-and-machine-learning-techniques-for-spatial-prediction-of-soil-prope.
BibTeX@misc{4ortxyz_integration-of-high-resolution-remotely-sensed-data-and-machine-learning-techniques-for-spatial-prediction-of-soil-prope_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Integration of high resolution remotely sensed data and machine learning techniques for spatial prediction of soil properties and corn yield}}, year = {2026}, url = {https://4ort.xyz/entity/integration-of-high-resolution-remotely-sensed-data-and-machine-learning-techniques-for-spatial-prediction-of-soil-prope}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Integration of high resolution remotely sensed data and machine learning techniques for spatial prediction of soil properties and corn yield — https://4ort.xyz/entity/integration-of-high-resolution-remotely-sensed-data-and-machine-learning-techniques-for-spatial-prediction-of-soil-prope (retrieved 2026-05-24)