1 publication

• Published Subscription 3 Mar 2023

  Classification and Detection of Cabbage Leaf Diseases from Images Using Deep Learning Methods

  By Myna A.N., Manasvi K., Pavan J.K., Rakshith H.S., Yuktha D. Jain

  Abstract: The presented work uses Deep learning methods to detect diseases in cabbage leaves. To avoid a reduction in agricultural product yield, disease diagnosis in plants is crucial. Manual plant disease monitoring is challenging and time-consuming at every stage. Five major types of diseases are considered. Initially, the input images are classified as healthy and diseased. Further, the diseased images are classified into five different varieties. Early and precise biotic stress …

  Published in International Journal of Image Processing and Pattern Recognition · Vol. 8, Issue 2, 2022 · pp. 23–32 Read article →