Tomato plant leaf disease detection using generative adversarial network and deep convolutional neural network

ABSTRACT

The economic, social, cultural growth of most developing countries depends upon the agriculture sector. However, plant disease may lead to inferior crop yield economic growth. Various computer vision and artificial intelligence-based schemes have been presented in past for automatic plant leaf disease detection but their performance is inadequate due to underprivileged feature representation, lower-order correlation of raw features, data imbalance problem, less generalization. This paper presents automatic plant leaf disease detection using Deep Convolutional Neural Network (DCNN) to increase the feature representation and correlation and Generative Adversarial Network (GAN) for data augmentation to cope up with data imbalance problem. Extensive experimentations are performed on ten classes of tomato plant disease from Plant Village leaf disease database. Effectiveness of proposed scheme is evaluated based on accuracy, precision, recall, F1 score which has shown momentous improvement over customary methods for plant leaf disease database (Accuracy- 99.74%, precision- 0.99, recall-0.99, F1 score -0.99).

KEYWORDS:

• Plant leaf disease detection
• agriculture automation
• convolutional neural network
• deep learning
• precision agriculture

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Rashmi Deshpande

Rashmi Sameer Deshpande received B. E. (Electronics and Telecommunication Engineering) from Dr. Babasaheb Ambedkar Marathwada University and Master of Engineering (Electronics Engineering) from Pune University, Pune. She is currently a research scholar registered to Oriental University Indore in the EC department. Currently, she is working as Assistant Professor in Department of Electronics and Telecommunication Engineering, Dr. D Y Patil Institute of Engineering, Management and Research Akurdi Pune. Her subjects of interests are Image Processing, Internet of Tnings. She has published more than 20 research papers in International Journals and Conferences.

Hemant Patidar

Dr. Hemant Patidar was born in Ujjain, India on 01st January 1990. He completed Bachelor of Engineering degree in Electronics & Communication Engineering from Swami Vivekananda College of Engineering, Indore, India in 2012. He completed his Ph.D from Electronics & Communication Department, NIT Durgapur, India in 2018. Presently, he is working as assistant Professor, Department of Electrical & Electronics Engineering, Oriental University, Indore, India. He has published more than 20 research papers in International Journals and Conferences. His research interest includes array antenna synthesis, evolutionary algorithms, electromagnetics etc.