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Vol. 8, Issue 1 (2019)

Disease detection in plant leaves using convolutional neural networks: A futuristic approach to agriculture

Author(s):
Garima Saini
Abstract:
Plant diseases are a major challenge to agricultural production and food security. Early detection of plant diseases is crucial for effective disease management and prevention. In recent years, the application of computer vision techniques for plant disease detection has gained popularity due to their high accuracy and non-destructive nature. This research paper presents an overview of various plant leaf diseases, their symptoms, and the different methods used for plant disease detection, including traditional methods and computer vision-based methods. We also discuss the challenges and opportunities in the field of plant disease detection, and the future directions of research.
Pages: 707-713  |  79 Views  28 Downloads


The Pharma Innovation Journal
How to cite this article:
Garima Saini. Disease detection in plant leaves using convolutional neural networks: A futuristic approach to agriculture. Pharma Innovation 2019;8(1):707-713. DOI: 10.22271/tpi.2019.v8.i1l.25406

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