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Research Article

A Review: Crop Plant Disease Detection Using Image Processing

  • Paper ID 4
  • Volume 1, Issue 1
  • Pages 16-18
  • Published Online: January-February 2021
  • 38 Views
Open Access Peer Reviewed

Authors

  • S.Shankar1
  • U. Kumar2
  • A. Pandey3

1Dept. of E&I SNS College of technology, Coimbatore,Tamil Nadu,India. 23Dept. of Agri, PPG College of technology, Coimbatore,Tamil Nadu, India.

Article Information

DOI
No DOI
Published Online
January-February 2021
Pages
16-18
Article Type
Research Article
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No DOI available for cross-reference

References

1. AbdolvahabEhsanirad,Sharath Kumar Y.H.(2010),Leaf recognition forplantclassificationusingGLCMandPCAmethods,3,pp.31-
36,2010.
2. DeepikaJaswal, Sowmya.V, K.P.Soman(2014), Image ClassificationUsingConvolutionalNeuralNetworks,3pp2278-7763.2014
3. N. Petrellis (2017) Mobile Application forPlant Disease ClassificationBasedonSymptomSignaturesACMISBN978-1-4503-5355-
7/17/09
4. Sudhajala,Dineshgoyal(2006),Flyashasasoilameliorantforimprovingcropproduction—
areview,ELSEVIERVolume97,Issue9,June2006,Pages1136-1147
5. B.N.Mittraaetal.(2005)Flyash—apotentialsourceofsoilamendmentand a component of integrated plant nutrient supply system,
ELSEVIERVolume84,Issue11,August2005,Pages1447-1451
6. RoseliaC.Morco,FredilynB.Calanda,Jonathan A.Bonilla,MarkJade
S. Corpuz, Junnel E. Avestro, Jean M. Angeles(2017)e-RICE: An Expert SystemusingRule-
BasedAlgorithmtoDetect,Diagnose,andPrescribeControlOptionsforRicePlantDiseasesinthePhilippines978-1-4503-5392,2017
7. SantanuPhadikarandJayaSil“RiceDiseaseidentificationusingPatternRecognitionTechniques”IEEEProceedingsof11thInternationalC
onference on Computer and Information Technology ( 2008) , pp.1-4244-2136,2008
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