Wheat stem rust leaf disease detection using image processing

Autor:	Amel H. Abbas, Basim Khalid. Mohammed Ali Al-windi, Mohammed Shakir Mahmood
Rok vydání:	2023
Předmět:	Artificial neural network biology business.industry Computer science food and beverages Pattern recognition Image processing General Medicine HSL and HSV Stem rust biology.organism_classification Backpropagation Rgb image Feature (computer vision) Leaf disease Artificial intelligence business
Zdroj:	Materials Today: Proceedings. 80:3346-3350
ISSN:	2214-7853
DOI:	10.1016/j.matpr.2021.07.251
Popis:	New method for Detection wheat stem rust disease using Image processing methods, Converting RGB image To Hue Saturation Value then setting HSV parameters for background deleting. Texture analyses used for feature extractions. Feature selections where used to accelerate accuracy of detection. Backpropagation neural network used for classifications.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::26ca7443f29841326450caef57c2c43a https://doi.org/10.1016/j.matpr.2021.07.251 Zobrazit plný text záznamu Full Text from ScienceDirect