A Survey of CNN Based Diseases of Plant Leaves Detection Techniques

Authors

  • Shagun Agrawal  Meerut Institute of Engineering and Technology, Meerut, Uttar Pradesh, India
  • Dr. Mukesh Rawat  Meerut Institute of Engineering and Technology, Meerut, Uttar Pradesh, India
  • Dr. Vimal Kumar  Meerut Institute of Engineering and Technology, Meerut, Uttar Pradesh, India

Keywords:

CNN, Leaf detection, Simulated Annealing, Leaf disease detection

Abstract

Today, deep learning techniques to image recognition are critical tools. Convolutional Neural Networks, a deep learning technology, has achieved a stunning success in this area. Convolutional Neural Networks are being used in a wide range of agricultural applications because of their ability to recognise images. Identifying plant species, improving yields via improved soil and water management, and detecting unwanted plants and animals are just a few of the methods available. Agricultural disease and pest detection using Convolutional Neural Networks is also being researched. As there is a vast variety of material out there on how to apply deep learning models in agriculture, selecting a suitable one might be difficult. The authors of this paper provide an overview of current research on the use of leaf images to train Deep Convolutional Neural Networks for the prediction of plant ailments. This research compares several pre-processing tactics, Convolutional Neural Network models and frameworks, and optimization methodologies for identifying plant ailments from leaf images. This article also contains the data and performance metrics needed to evaluate the model's efficacy. This research addresses both the advantages and disadvantages of various approaches and models that have been proposed in the literature. Studying plant leaf diseases using deep learning techniques will be made easier with this survey, which will aid researchers in the field.

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International Journal of Scientific Research in Science and Technology

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Published

2022-06-30

Issue

Volume 9, Issue 3, May-June-2022

Section

Research Articles

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How to Cite

[1]
Shagun Agrawal, Dr. Mukesh Rawat, Dr. Vimal Kumar "A Survey of CNN Based Diseases of Plant Leaves Detection Techniques" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 9, Issue 3, pp.586-598, May-June-2022.