Identification of Diseases in Corn Leaves using Convolutional Neural Networks and Boosting

Prakruti Bhatt, Sanat Sarangi, Anshul Shivhare, Dineshkumar Singh, Srinivasu Pappula

2019

Abstract

Precision farming technologies are essential for a steady supply of healthy food for the increasing population around the globe. Pests and diseases remain a major threat and a large fraction of crops are lost each year due to them. Automated detection of crop health from images helps in taking timely actions to increase yield while helping reduce input cost. With an aim to detect crop diseases and pests with high confidence, we use convolutional neural networks (CNN) and boosting techniques on Corn leaf images in different health states. The queen of cereals, Corn, is a versatile crop that has adapted to various climatic conditions. It is one of the major food crops in India along with wheat and rice. Considering that different diseases might have different treatments, incorrect detection can lead to incorrect remedial measures. Although CNN based models have been used for classification tasks, we aim to classify similar looking disease manifestations with a higher accuracy compared to the one obtained by existing deep learning methods. We have evaluated ensembles of CNN based image features, with a classifier and boosting in order to achieve plant disease classification. Using an ensemble of Adaptive Boosting cascaded with a decision tree based classifier trained on features from CNN, we have achieved an accuracy of 98% in classifying the Corn leaf images into four different categories viz. Healthy, Common Rust, Late Blight and Leaf Spot. This is about 8% improvement in classification performance when compared to CNN only.

Paper Citation

in Harvard Style

Bhatt P., Sarangi S., Shivhare A., Singh D. and Pappula S. (2019). Identification of Diseases in Corn Leaves using Convolutional Neural Networks and Boosting.In Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-351-3, pages 894-899. DOI: 10.5220/0007687608940899

in Bibtex Style

@conference{icpram19,
author={Prakruti Bhatt and Sanat Sarangi and Anshul Shivhare and Dineshkumar Singh and Srinivasu Pappula},
title={Identification of Diseases in Corn Leaves using Convolutional Neural Networks and Boosting},
booktitle={Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2019},
pages={894-899},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007687608940899},
isbn={978-989-758-351-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Identification of Diseases in Corn Leaves using Convolutional Neural Networks and Boosting
SN - 978-989-758-351-3
AU - Bhatt P.
AU - Sarangi S.
AU - Shivhare A.
AU - Singh D.
AU - Pappula S.
PY - 2019
SP - 894
EP - 899
DO - 10.5220/0007687608940899