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Paper Details
Paper Title
plant diseases detection using convolution neural network
Authors
  ramachandran p,  praveen kumar p,  sathish kumar d,  bargunan s
Abstract
When plants and crops are infected by pests it aggregates to the failure of agricultural production of the country. Usually, farmers or scientists observe the plants with the naked eye for detection of disease. But this method can be not time efficient, expensive and inaccurate. Automatic detection using image processing, produces fast and accurate results. This paper is concerned with a new approach to the development of a plant disease recognition model, based on leaf image classification, by the use of deep convolutional networks. Advances in computer vision will present an area of opportunity to expand and enhance the precision for the plant protection and extend the market of computer vision applications in the field of precision agriculture. An appreciable way of training and the methodology used to facilitate a quick and easy system implementation in practice. All essential steps required for implementing this disease recognition model are fully described throughout the paper, starting from gathering images to create a database, assessed by agricultural experts, a deep learning framework to perform the deep CNN training. This methodological paper is a new way of detecting plant diseases using the deep convolutional neural network trained and fine-tuned to fit accurately to the database of a plant’s leaves that was gathered independently for various plant diseases. The advance and novelty of the developed model dwell its simplicity; healthy leaves and background images are in line with other classes, enabling the model to differentiate between diseased leaves and healthy ones or from the environment by using CNN.
Keywords- plant disease detection, image segmentation, machine learning, convolution neural network
Publication Details
Unique Identification Number - IJEDR2102007Page Number(s) - 44-48Pubished in - Volume 9 | Issue 2 | May 2021DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  ramachandran p,  praveen kumar p,  sathish kumar d,  bargunan s,   "plant diseases detection using convolution neural network", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.9, Issue 2, pp.44-48, May 2021, Available at :http://www.ijedr.org/papers/IJEDR2102007.pdf
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