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Title: :  AI DRIVEN CROP DISEASE PREDICTION
PaperId: :  26066
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 2 2025
DUI:    16.0415/IJARIIE-26066
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Rhishub Kamalakar GawadeDY Patil School of Engineering and Technology AMBI,PUNE
Sahil Sanjay GoradDY Patil School of Engineering and Technology AMBI,PUNE
Harsh Ramesh BhosleDY Patil School of Engineering and Technology AMBI,PUNE
Rajas Sunil BengaleDY Patil School of Engineering and Technology AMBI,PUNE

Abstract

BTech Information Technology
AI&ML, CNN, PYTHON.
Agricultural productivity is significantly impacted by various crop diseases, leading to decreased yields and economic losses. Early and accurate detection of these diseases is crucial for timely intervention and management. This project aims to develop an AI-driven crop disease prediction and classification system using advanced deep learning techniques. By leveraging convolutional neural networks (CNNs) and integrating digital soil sensors, the system analyses images of plant leaves to identify specific diseases. The system also incorporates soil nutrient data to recommend optimal crops for specific soil conditions. Through image processing and predictive modelling, this project seeks to provide a scalable solution for farmers to diagnose diseases in real-time, improve crop management, and enhance agricultural sustainability. The proposed solution also explores the use of open-source tools such as TensorFlow and PyTorch, offering flexibility and affordability for widespread adoption.

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IJARIIE Rhishub Kamalakar Gawade, Sahil Sanjay Gorad, Harsh Ramesh Bhosle, and Rajas Sunil Bengale. "AI DRIVEN CROP DISEASE PREDICTION" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 2 2025 Page 2390-2395
MLA Rhishub Kamalakar Gawade, Sahil Sanjay Gorad, Harsh Ramesh Bhosle, and Rajas Sunil Bengale. "AI DRIVEN CROP DISEASE PREDICTION." International Journal Of Advance Research And Innovative Ideas In Education 11.2(2025) : 2390-2395.
APA Rhishub Kamalakar Gawade, Sahil Sanjay Gorad, Harsh Ramesh Bhosle, & Rajas Sunil Bengale. (2025). AI DRIVEN CROP DISEASE PREDICTION. International Journal Of Advance Research And Innovative Ideas In Education, 11(2), 2390-2395.
Chicago Rhishub Kamalakar Gawade, Sahil Sanjay Gorad, Harsh Ramesh Bhosle, and Rajas Sunil Bengale. "AI DRIVEN CROP DISEASE PREDICTION." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 2 (2025) : 2390-2395.
Oxford Rhishub Kamalakar Gawade, Sahil Sanjay Gorad, Harsh Ramesh Bhosle, and Rajas Sunil Bengale. 'AI DRIVEN CROP DISEASE PREDICTION', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 2, 2025, p. 2390-2395. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/AI_DRIVEN_CROP_DISEASE_PREDICTION_ijariie26066.pdf (Accessed : ).
Harvard Rhishub Kamalakar Gawade, Sahil Sanjay Gorad, Harsh Ramesh Bhosle, and Rajas Sunil Bengale. (2025) 'AI DRIVEN CROP DISEASE PREDICTION', International Journal Of Advance Research And Innovative Ideas In Education, 11(2), pp. 2390-2395IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/AI_DRIVEN_CROP_DISEASE_PREDICTION_ijariie26066.pdf (Accessed : )
IEEE Rhishub Kamalakar Gawade, Sahil Sanjay Gorad, Harsh Ramesh Bhosle, and Rajas Sunil Bengale, "AI DRIVEN CROP DISEASE PREDICTION," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 2, pp. 2390-2395, Mar-App 2025. [Online]. Available: https://ijariie.com/AdminUploadPdf/AI_DRIVEN_CROP_DISEASE_PREDICTION_ijariie26066.pdf [Accessed : ].
Turabian Rhishub Kamalakar Gawade, Sahil Sanjay Gorad, Harsh Ramesh Bhosle, and Rajas Sunil Bengale. "AI DRIVEN CROP DISEASE PREDICTION." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 2 ().
Vancouver Rhishub Kamalakar Gawade, Sahil Sanjay Gorad, Harsh Ramesh Bhosle, and Rajas Sunil Bengale. AI DRIVEN CROP DISEASE PREDICTION. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(2) : 2390-2395. Available from: https://ijariie.com/AdminUploadPdf/AI_DRIVEN_CROP_DISEASE_PREDICTION_ijariie26066.pdf
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