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The Identification of Irrigated Crop Types Using Support Vector Machine, Random Forest and Maximum Likelihood Classification Methods with Sentinel-2 Data in 2018: Tashkent Province, Uzbekistan
Research article (International Journal of Geoinformatics, 2022) · cited 17× · AI/ML
The Identification of Irrigated Crop Types Using Support Vector Machine, Random Forest and Maximum Likelihood Classification Methods with Sentinel-2 Data in 2018: Tashkent Province, Uzbekistan
Summary
The Identification of Irrigated Crop Types Using Support Vector Machine, Random Forest and Maximum Likelihood Classification Methods with Sentinel-2 Data in 2018: Tashkent Province, Uzbekistan is a scholarly article[1].
Key Facts
The Identification of Irrigated Crop Types Using Support Vector Machine, Random Forest and Maximum Likelihood Classification Methods with Sentinel-2 Data in 2018: Tashkent Province, Uzbekistan's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). The Identification of Irrigated Crop Types Using Support Vector Machine, Random Forest and Maximum Likelihood Classification Methods with Sentinel-2 Data in 2018: Tashkent Province, Uzbekistan. Retrieved May 24, 2026, from https://4ort.xyz/entity/the-identification-of-irrigated-crop-types-using-support-vector-machine-random-forest-and-maximum-likelihood-classificat
MLA“The Identification of Irrigated Crop Types Using Support Vector Machine, Random Forest and Maximum Likelihood Classification Methods with Sentinel-2 Data in 2018: Tashkent Province, Uzbekistan.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/the-identification-of-irrigated-crop-types-using-support-vector-machine-random-forest-and-maximum-likelihood-classificat.
BibTeX@misc{4ortxyz_the-identification-of-irrigated-crop-types-using-support-vector-machine-random-forest-and-maximum-likelihood-classificat_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{The Identification of Irrigated Crop Types Using Support Vector Machine, Random Forest and Maximum Likelihood Classification Methods with Sentinel-2 Data in 2018: Tashkent Province, Uzbekistan}}, year = {2026}, url = {https://4ort.xyz/entity/the-identification-of-irrigated-crop-types-using-support-vector-machine-random-forest-and-maximum-likelihood-classificat}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): The Identification of Irrigated Crop Types Using Support Vector Machine, Random Forest and Maximum Likelihood Classification Methods with Sentinel-2 Data in 2018: Tashkent Province, Uzbekistan — https://4ort.xyz/entity/the-identification-of-irrigated-crop-types-using-support-vector-machine-random-forest-and-maximum-likelihood-classificat (retrieved 2026-05-24)
