HIGHLIGHTS
- who: Uferah Shafi et al. from the School of Electrical Engineering and Computer Science (SEECS), National University of Sciences and have published the paper: Wheat Yellow Rust Disease Infection Type Classification Using Texture Features, in the Journal: Sensors 2022, 22, 146. of 27/Dec/2021
- what: Toward such an end, the authors propose a framework for detecting and classifying wheat rust disease into three classes including healthy, resistant, and susceptible. The aim of the study is to investigate the best texture feature extraction technique and best machine_learning technique for wheat rust infection type classification. The . . .
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