INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Quality checking of sugar cane and disease identification using CNN in python
Authors Name:
S.ABHILASH
, S.DINESH , S.RAVINDRA , C.ARCHIT SAI VIVEK , MRS. J. RANGANAYAKI
Unique Id:
IJSDR2304219
Published In:
Volume 8 Issue 4, April-2023
Abstract:
Pest detection in crops is certainly one of the most important issues in agriculture. However, recent advances in superior pc imaging equipment have opened the way for automatic sickness detection. Results from public datasets using Convolutional Neural Network (CNN) models demonstrate its suitability. A lot of plant contamination records is amassed and recorded beneath diverse situations coming from the digicam. We used specific object detection algorithms.
Keywords:
Cite Article:
"Quality checking of sugar cane and disease identification using CNN in python", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.1356 - 1362, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304219.pdf
Downloads:
000336257
Publication Details:
Published Paper ID: IJSDR2304219
Registration ID:205421
Published In: Volume 8 Issue 4, April-2023
DOI (Digital Object Identifier):
Page No: 1356 - 1362
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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