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Title: :  Plant Disease Detection
PaperId: :  19674
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 2 2023
DUI:    16.0415/IJARIIE-19674
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Vaishnavi PawarRajendra Mane College Of Engineering & Technology, Ratnagiri
Bhavesh SawantRajendra Mane College Of Engineering & Technology, Ratnagiri
Dhanashree JadhavRajendra Mane College Of Engineering & Technology, Ratnagiri
Hritik MayekarRajendra Mane College Of Engineering & Technology, Ratnagiri

Abstract

Computer Engineering
plant disease, late blight, early blight, deep learning, Convolution Neural Network(CNN)
Early Disease Detection and pets are important for better yield and quality of crops. With a Reduction in the Quality of Agricultural Products, Disease plants can lead to huge Economic Losses to Individual farmers. In a country like India whose major Population is involved in Agriculture, Finding the disease at an early stage is very important. Faster and more precise predictions of plant disease could help reduce the losses. The Significant advancement and developments in Deep Learning have given the opportunity to improve the performance and accuracy of detection of object and recognition systems. This Paper focuses on finding plant diseases and reducing economic losses. We have proposed a deep learning-based approach for image recognition. System Proposed in the paper can Detect the different types of disease efficiently and have the ability to deal with complex scenarios. The training model achieves an accuracy of 99.35% which depicts the feasibility of a Convolution Neural Network and presents the path for AI-based Deep Learning Solutions to this Complex Problem.

Citations

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IJARIIE Vaishnavi Pawar, Bhavesh Sawant, Dhanashree Jadhav, and Hritik Mayekar. "Plant Disease Detection" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 2 2023 Page 1671-1677
MLA Vaishnavi Pawar, Bhavesh Sawant, Dhanashree Jadhav, and Hritik Mayekar. "Plant Disease Detection." International Journal Of Advance Research And Innovative Ideas In Education 9.2(2023) : 1671-1677.
APA Vaishnavi Pawar, Bhavesh Sawant, Dhanashree Jadhav, & Hritik Mayekar. (2023). Plant Disease Detection. International Journal Of Advance Research And Innovative Ideas In Education, 9(2), 1671-1677.
Chicago Vaishnavi Pawar, Bhavesh Sawant, Dhanashree Jadhav, and Hritik Mayekar. "Plant Disease Detection." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 2 (2023) : 1671-1677.
Oxford Vaishnavi Pawar, Bhavesh Sawant, Dhanashree Jadhav, and Hritik Mayekar. 'Plant Disease Detection', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 2, 2023, p. 1671-1677. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Plant_Disease_Detection_ijariie19674.pdf (Accessed : ).
Harvard Vaishnavi Pawar, Bhavesh Sawant, Dhanashree Jadhav, and Hritik Mayekar. (2023) 'Plant Disease Detection', International Journal Of Advance Research And Innovative Ideas In Education, 9(2), pp. 1671-1677IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Plant_Disease_Detection_ijariie19674.pdf (Accessed : )
IEEE Vaishnavi Pawar, Bhavesh Sawant, Dhanashree Jadhav, and Hritik Mayekar, "Plant Disease Detection," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 2, pp. 1671-1677, Mar-App 2023. [Online]. Available: http://ijariie.com/AdminUploadPdf/Plant_Disease_Detection_ijariie19674.pdf [Accessed : ].
Turabian Vaishnavi Pawar, Bhavesh Sawant, Dhanashree Jadhav, and Hritik Mayekar. "Plant Disease Detection." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 2 ().
Vancouver Vaishnavi Pawar, Bhavesh Sawant, Dhanashree Jadhav, and Hritik Mayekar. Plant Disease Detection. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : ]; 9(2) : 1671-1677. Available from: http://ijariie.com/AdminUploadPdf/Plant_Disease_Detection_ijariie19674.pdf
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