International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

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Research Paper | Neural Networks | India | Volume 10 Issue 7, July 2021

Cassava Plant Leaf Disease Detection

Yogeshwar Shendye

Abstract: There are various machine learning algorithms being implemented across the agricultural domain as well as other computer vision domains for the image classification problems as well as object detection problems. These algorithms work on feature extraction from the images. One of the most used algorithms is Convolutional Neural Network (CNN), which helps in feature extraction. Another method which is currently ruling the realm of machine learning is transfer learning, where the knowledge gained by machine while learning to solve one problem is applied for solving another problem. This paper demonstrates how various CNN architectures and transfer learning techniques can be applied for the disease detection in cassava plant.

Keywords: Image Classification, Cassava, Agriculture, Convolutional neural networks, transfer learning

Edition: Volume 10 Issue 7, July 2021,

Pages: 907 - 910

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