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Title: :  Plant Leaf Disease Detection Model Using Convolution Neural Networks
PaperId: :  20162
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 3 2023
DUI:    16.0415/IJARIIE-20162
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Nidhi ChaudharyInstitute of Technology and Management GIDA, Gorakhpur, Uttar Pradesh, India
Pooja YadavInstitute of Technology and Management GIDA, Gorakhpur, Uttar Pradesh, India
Preeti KumariInstitute of Technology and Management GIDA, Gorakhpur, Uttar Pradesh, India
Deeksha SrivastavaInstitute of Technology and Management GIDA, Gorakhpur, Uttar Pradesh, India

Abstract

Computer Science Engineering
Neural Networks, Convolutional Neural Networks, Activation function
Gives us an accurate path by finding the Sickness Extant at Rooter out a cosmic level. With the advent of deep learning, we explore the many methods for identifying plant diseases in this review paper. Studies show that believes on Sharp naked-eye neglect of specialists to find and classify diseases can be time destroy and keep, especially in rural areas and developing countries. So, we offer a resolution that is quick, automatic, affordable, and correct. Resolution is one of the four major stages. In the first phase, we generate a pigment alternation framework at RGB (Red, Green, and Blue) Vane Reproduce and then, we apply pigment Sky alternation in the pigment alternation framework. The portrait is certainly portion handling the K-means bunching method at another stage. In the third stage, we numerate and design characteristics for the segmented connection objects. At the final stage of the process, we calculate and design characteristics for the segmented infectious objects. The retrieved features are actually passed via a trained neural network in the fourth phase. Crop monitoring in agriculture with technology-driven accessibility. The detection and analysis of crop diseases are limited by human vision since they fully depend on microscopic activities.

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IJARIIE Nidhi Chaudhary, Pooja Yadav, Preeti Kumari, and Deeksha Srivastava. "Plant Leaf Disease Detection Model Using Convolution Neural Networks" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 3 2023 Page 1258-1268
MLA Nidhi Chaudhary, Pooja Yadav, Preeti Kumari, and Deeksha Srivastava. "Plant Leaf Disease Detection Model Using Convolution Neural Networks." International Journal Of Advance Research And Innovative Ideas In Education 9.3(2023) : 1258-1268.
APA Nidhi Chaudhary, Pooja Yadav, Preeti Kumari, & Deeksha Srivastava. (2023). Plant Leaf Disease Detection Model Using Convolution Neural Networks. International Journal Of Advance Research And Innovative Ideas In Education, 9(3), 1258-1268.
Chicago Nidhi Chaudhary, Pooja Yadav, Preeti Kumari, and Deeksha Srivastava. "Plant Leaf Disease Detection Model Using Convolution Neural Networks." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 3 (2023) : 1258-1268.
Oxford Nidhi Chaudhary, Pooja Yadav, Preeti Kumari, and Deeksha Srivastava. 'Plant Leaf Disease Detection Model Using Convolution Neural Networks', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 3, 2023, p. 1258-1268. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Plant_Leaf_Disease_Detection_Model_Using_Convolution_Neural_Networks_ijariie20162.pdf (Accessed : 11 May 2024).
Harvard Nidhi Chaudhary, Pooja Yadav, Preeti Kumari, and Deeksha Srivastava. (2023) 'Plant Leaf Disease Detection Model Using Convolution Neural Networks', International Journal Of Advance Research And Innovative Ideas In Education, 9(3), pp. 1258-1268IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Plant_Leaf_Disease_Detection_Model_Using_Convolution_Neural_Networks_ijariie20162.pdf (Accessed : 11 May 2024)
IEEE Nidhi Chaudhary, Pooja Yadav, Preeti Kumari, and Deeksha Srivastava, "Plant Leaf Disease Detection Model Using Convolution Neural Networks," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 3, pp. 1258-1268, May-Jun 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/Plant_Leaf_Disease_Detection_Model_Using_Convolution_Neural_Networks_ijariie20162.pdf [Accessed : 11 May 2024].
Turabian Nidhi Chaudhary, Pooja Yadav, Preeti Kumari, and Deeksha Srivastava. "Plant Leaf Disease Detection Model Using Convolution Neural Networks." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 3 (11 May 2024).
Vancouver Nidhi Chaudhary, Pooja Yadav, Preeti Kumari, and Deeksha Srivastava. Plant Leaf Disease Detection Model Using Convolution Neural Networks. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : 11 May 2024]; 9(3) : 1258-1268. Available from: https://ijariie.com/AdminUploadPdf/Plant_Leaf_Disease_Detection_Model_Using_Convolution_Neural_Networks_ijariie20162.pdf
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