Bayesian Aggregation Improves Traditional Single-Image Crop Classification Approaches

Accurate information about growing crops allows for regulating the internal stocks of agricultural products and drawing strategies for negotiating agricultural commodities on financial markets. Machine learning methods are widely implemented for crop type recognition and classification based on sate...

書誌詳細
出版年:	Sensors
主要な著者:	Ivan Matvienko, Mikhail Gasanov, Anna Petrovskaia, Maxim Kuznetsov, Raghavendra Jana, Maria Pukalchik, Ivan Oseledets
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2022-11-01
主題:	crop classification unbalanced classes problem pixel-wise aggregation
オンライン･アクセス:	https://www.mdpi.com/1424-8220/22/22/8600

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