Call for Papers:Vol.11 Issue.3

Submission
Last date		 28-Jun-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-3. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  Plant Leaf Disease Detection using ML Techniques
PaperId: :  16793
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 8 Issue 3 2022
DUI:    16.0415/IJARIIE-16793
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
SHASHANK SHEKHAR SINGHRaj Kumar Goel Institute of Technology
Vipin DwivediRaj Kumar Goel Institute of Technology
Vishwabandhu SaahRaj Kumar Goel Institute of Technology

Abstract

Computer Science and Engineering
Plant Leaf disease, Leaf Disease, Plant Disease, Plant Disease Detection, Plant Leaf Disease Detection, Plant Leaf Disease Prediction, Leaf Disease Prediction, Classification, Feature Extraction, Image Global Features, Image Processing, Machine Learning.
India is a nation of agriculture and over 70 percent of our population relies on farming. A portion of our national revenue comes from agriculture. Agriculturalists are facing losses due to various crop diseases and it becomes tedious for cultivators to monitor the crop regularly when the cultivated area is huge. Se plant disease detection is important in the algorithms in the culture field. Timely and accurate disease detection is important for the loss caused due to crop diseases which affect adversely crop quality and yield. Early diagnosis and intervention can reduce the loss of plants due to disease and reduce unnecessary drug usage. Earlier, automatic detection of plant disease was performed by image processing. Image processing tools and the machine learning mechanism are proposed for disease detection and classification. Crop disease will be detected through various stages of image processing such as image acquisition, pre-processing of image feature extraction, feature classification, disease prediction, and, fertilizer recommendation. detection of disease is important because it will help farmers to provide the proper solution to prevent these diseases.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE SHASHANK SHEKHAR SINGH, Vipin Dwivedi, and Vishwabandhu Saah. "Plant Leaf Disease Detection using ML Techniques" International Journal Of Advance Research And Innovative Ideas In Education Volume 8 Issue 3 2022 Page 1399-1403
MLA SHASHANK SHEKHAR SINGH, Vipin Dwivedi, and Vishwabandhu Saah. "Plant Leaf Disease Detection using ML Techniques." International Journal Of Advance Research And Innovative Ideas In Education 8.3(2022) : 1399-1403.
APA SHASHANK SHEKHAR SINGH, Vipin Dwivedi, & Vishwabandhu Saah. (2022). Plant Leaf Disease Detection using ML Techniques. International Journal Of Advance Research And Innovative Ideas In Education, 8(3), 1399-1403.
Chicago SHASHANK SHEKHAR SINGH, Vipin Dwivedi, and Vishwabandhu Saah. "Plant Leaf Disease Detection using ML Techniques." International Journal Of Advance Research And Innovative Ideas In Education 8, no. 3 (2022) : 1399-1403.
Oxford SHASHANK SHEKHAR SINGH, Vipin Dwivedi, and Vishwabandhu Saah. 'Plant Leaf Disease Detection using ML Techniques', International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 3, 2022, p. 1399-1403. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Plant_Leaf_Disease_Detection_using_ML_Techniques_ijariie16793.pdf (Accessed : 23 May 2022).
Harvard SHASHANK SHEKHAR SINGH, Vipin Dwivedi, and Vishwabandhu Saah. (2022) 'Plant Leaf Disease Detection using ML Techniques', International Journal Of Advance Research And Innovative Ideas In Education, 8(3), pp. 1399-1403IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Plant_Leaf_Disease_Detection_using_ML_Techniques_ijariie16793.pdf (Accessed : 23 May 2022)
IEEE SHASHANK SHEKHAR SINGH, Vipin Dwivedi, and Vishwabandhu Saah, "Plant Leaf Disease Detection using ML Techniques," International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 3, pp. 1399-1403, May-Jun 2022. [Online]. Available: https://ijariie.com/AdminUploadPdf/Plant_Leaf_Disease_Detection_using_ML_Techniques_ijariie16793.pdf [Accessed : 23 May 2022].
Turabian SHASHANK SHEKHAR SINGH, Vipin Dwivedi, and Vishwabandhu Saah. "Plant Leaf Disease Detection using ML Techniques." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 8 number 3 (23 May 2022).
Vancouver SHASHANK SHEKHAR SINGH, Vipin Dwivedi, and Vishwabandhu Saah. Plant Leaf Disease Detection using ML Techniques. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2022 [Cited : 23 May 2022]; 8(3) : 1399-1403. Available from: https://ijariie.com/AdminUploadPdf/Plant_Leaf_Disease_Detection_using_ML_Techniques_ijariie16793.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads


Last download on 5/23/2022 9:56:40 PM

Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
PREDICTING GENETIC VARIANTS PATHOGENECITYComputer EngineeringSyed Arbeena Kausar Download
ANDROID MALWARE DETECTION USING MACHINE LEARNING TECHNIQUESCOMPUTER SCIENCE AND ENGINEERINGS. Saiful Islam Download
IMPROVING HEALTHCARE PREDICTION OF DIABETIC PATIENTS USING KNN IMPUTED FEATURES AND TRI-ENSEMBLE MODELCOMPUTER SCIENCE AND ENGINEERINGS. Mahammad Arif Download
MONEY LAUNDERING DETECTION USING MACHINE LEARNING METHODSCOMPUTER SCIENCE AND ENGINEERINGY B. Shashank Raj Download
LEVERAGING SPATIOTEMPORAL PATTERNS FOR CYBER ATTACK DETECTION IN DISTRIBUTION SYSTEMCOMPUTER SCIENCE AND ENGINEERINGV. Kumar Download
Real-Time Heart Disease Prediction Using Machine LearningCOMPUTER SCIENCE AND ENGINEERINGP. Sri Pavan Hari Charan Download
HAND AND FACE LANDMARKS DETECTION USING MEDIA PIPE AND AICOMPUTER SCIENCE AND ENGINEERINGK. V. Bharath Kumar Download
VEHICLES SPEED DETECTION SYSTEM USING OPENCVCOMPUTER SCIENCE AND ENGINEERINGS. Santosh Download
SUSPICIOUS HUMAN ACTIVITY RECOGNITION FROM SURVEILLANCE VIDEOS USING DEEP LEARNINGCOMPUTER SCIENCE AND ENGINEERINGM. Lakshmi kanth Download
DETECTION OF THYROID DISORDERS USING MACHINE LEARNING APPOARCHCOMPUTER SCIENCE AND ENGINEERINGP. Shamiulla Download
Events Recommendation SystemComputer Science and EngineeringDharsana S Download
Online Attendance Using Web ApplicationComputer EngineeringMrs. P. Saranya Download
Automated Pneumonia Detection Using ResNet50 Deep Learning ModelDepartment of Computer Science & Engineering, D.Y.Patil Technical Campus, Shivaji University, KolhapurSohan Sanjay Kamalakar Download
MULTI-DISEASE DETECTION USING MACHINE LEARNINGComputer EngineeringNamithadevi N N Download
NETWORK TRAFFIC ANALYSIS WITH BIG DATA AND DEEP LEARNING TECHNIQUESCOMPUTER SCIENCE AND ENGINEERINGD VYSHNAVI Download
12