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Research Article

Plant Disease Detection Using CNN

  • Paper ID 305
  • Volume 3, Issue 2
  • Pages 229-234
  • Published Online: March-April 2022
  • 1 Views
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Authors

  • Prof. Hitendra A.Chavan1
  • Sayli Rajendra Bodare2
  • Vighnesh Raju Jadhav3
  • Gaurav Ganesh Moolya4

1Assistant Professor, Information Technology, BVCOE/Mumbai University, India 234 B.E. Student, Information Technology, BVCOE/Mumbai University, India.

Article Information

DOI
No DOI
Published Online
March-April 2022
Pages
229-234
Article Type
Research Article
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Abstract

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Abstract: Plant Disease Detection is very much important in agricultural field. Plant Disease Detection helps in early detection of diseases in crops and helps in developing the efficient crop yield. Without right knowledge and expertise it is difficult for farmers to do identification of plant diseases. Most of the farmers and the people who grow plants in houses, yards, etc. It is now easy to detect and diagnose the diseases in plants with the Deep Learning Technology. Deep Learning makes it to identify the plant disease and find the cure for the same by using camera for capturing images and applying several algorithms on them to get the several types of diseases in plants. This study includes the detection of multiple diseases in several varieties of plants. Convolution Neural Network is used for the detection of several plant diseases. An android application is made which take the input image from the user and displays the detected disease and the cure for that particular disease.

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  • ISSN 2582-8746
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