Blackgram Plant Leaf Disease Dataset

Published: 15 July 2022| Version 3 | DOI: 10.17632/zfcv9fmrgv.3
Contributors:
Srinivas Talasila, Kirti Rawal, Gaurav Sethi, Sanjay MSS, Surya Prakash Reddy M

Description

The Dataset is having five categories of 1000 images (Four most common leaf diseases of Blackgram crop such are Anthracnose, Leaf Crinkle, Powdery Mildew, Yellow Mosaic & healthy category). The dataset is collected from the cultivation fields at Nagayalanka, Krishna (d.t), Andhra Pradesh, India. The aim of collecting the dataset is to design an automated blackgram plant leaf disease identification and classification systems based on Computer Vision algorithms.

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Institutions

  • VNR Vignana Jyothi Institute of Engineering and Technology
  • Lovely Professional University

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