short-paper

Paddy Doctor: A Visual Image Dataset for Automated Paddy Disease Classification and Benchmarking

Authors:

Briskline Kiruba,

Pandarasamy ArjunanAuthors Info & Claims

CODS-COMAD '23: Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD)

January 2023

Pages 203 - 207

https://doi.org/10.1145/3570991.3570994

Published: 04 January 2023 Publication History

Abstract

One of the critical biotic stress factors paddy farmers face is diseases caused by bacteria, fungi, and other organisms. These diseases affect plants’ health severely and lead to significant crop loss. Most of these diseases can be identified by regularly observing the leaves and stems under expert supervision. In a country with vast agricultural regions and limited crop protection experts, manual identification of paddy diseases is challenging. Thus, to add a solution to this problem, it is necessary to automate the disease identification process and provide easily accessible decision support tools to enable effective crop protection measures. However, the lack of availability of public datasets with detailed disease information limits the practical implementation of accurate disease detection systems. This paper presents Paddy Doctor, a visual image dataset for identifying paddy diseases. Our dataset contains 16,225 annotated paddy leaf images across 13 classes (12 diseases and normal leaf). We benchmarked the Paddy Doctor dataset using a Convolutional Neural Network (CNN) and four transfer learning based models (VGG16, MobileNet, Xception, and ResNet34). The experimental results showed that ResNet34 achieved the highest F1-score of 97.50%. We release our dataset and reproducible code in the open source for community use.

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Cited By

ÖZDEMİR C(2023)Derin Öğrenme Modelleri ve Veri Ön İşleme Yöntemleri ile Çeltik Yaprak Hastalıklarının Erken TeşhisiEarly Diagnosis of Paddy Leaf Diseases using Deep Learning Models and Data Preprocessing TechniquesÇukurova Üniversitesi Mühendislik Fakültesi Dergisi10.21605/cukurovaumfd.137776338:3(807-817)Online publication date: 18-Oct-2023
https://doi.org/10.21605/cukurovaumfd.1377763
Niroj TPuvanendran R(2023)A Cross-Domain Hybrid Model for Paddy Disease Classification2023 5th International Conference on Advancements in Computing (ICAC)10.1109/ICAC60630.2023.10417161(697-702)Online publication date: 7-Dec-2023
https://doi.org/10.1109/ICAC60630.2023.10417161

Index Terms

Paddy Doctor: A Visual Image Dataset for Automated Paddy Disease Classification and Benchmarking
1. Applied computing
  1. Computers in other domains
    1. Agriculture
2. Computing methodologies
  1. Artificial intelligence
    1. Computer vision

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cover image ACM Other conferences

CODS-COMAD '23: Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD)

January 2023

357 pages

ISBN:9781450397971

DOI:10.1145/3570991

Copyright © 2023 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 04 January 2023

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CODS-COMAD 2023

CODS-COMAD 2023: 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD)

January 4 - 7, 2023

Mumbai, India

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Cited By

ÖZDEMİR C(2023)Derin Öğrenme Modelleri ve Veri Ön İşleme Yöntemleri ile Çeltik Yaprak Hastalıklarının Erken TeşhisiEarly Diagnosis of Paddy Leaf Diseases using Deep Learning Models and Data Preprocessing TechniquesÇukurova Üniversitesi Mühendislik Fakültesi Dergisi10.21605/cukurovaumfd.137776338:3(807-817)Online publication date: 18-Oct-2023
https://doi.org/10.21605/cukurovaumfd.1377763
Niroj TPuvanendran R(2023)A Cross-Domain Hybrid Model for Paddy Disease Classification2023 5th International Conference on Advancements in Computing (ICAC)10.1109/ICAC60630.2023.10417161(697-702)Online publication date: 7-Dec-2023
https://doi.org/10.1109/ICAC60630.2023.10417161

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