Cotton leaves Dataset for diseases classification using EfficienNet Model

Published: 11 October 2023| Version 1 | DOI: 10.17632/rc39hksfvz.1
Azeem Ayaz


The Cotton Disease Classification Dataset for the efficienNet Model is prepared for the agricultural research analysis. The dataset is based on images captured in the fields of cotton crops. this dataset helps to find disease types on the cotton crop leaves. the main purpose is to diagnose disease types on cotton crop leaves.


Steps to reproduce

- Visited each different level of cotton crop field - visualize and observed plant leaves - captured pictures for the disease effected leaves first - then collected healthy leaves pictures - then collected all images from all different levels of mobiles phones - Orgnised in a folder according to disease types - deleted weak and vague images


Computer Modeling, Plant Disease Management, Deep Learning