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Utilizing convolutional neural networks (CNNs) and transfer learning techniques, we develop an accurate and efficient disease detection system. Our results demonstrate the potential of computer vision and deep learning algorithms in enabling early disease detection, reducing crop losses, and improving food security.\n\nKeywords\nPlant Disease Detection, Machine Learning, Deep Learning, Convolutional Neural Networks (CNNs), Transfer Learning, Computer Vision, Image Processing, Precision Agriculture, Crop Monitoring, Food Security, Agricultural Technology, Plant Pathology.\n\n### Project include: \n\n1. Synopsis\n\n2. PPT\n\n3. Research Paper\n\n\n4. Code\n\n5. Explanation video\n\n6. Documents\n\n7. Report\n\n\n### Need Code, Documents \u0026 Explanation video ? \n\n## How to Reach me :\n\n### Mail : vatshayan007@gmail.com \n\n### WhatsApp: +91 9310631437 (Helping 24*7) **[CHAT](https://wa.me/message/CHWN2AHCPMAZK1)** \n\n### Website : https://www.finalproject.in/\n\n### Contact me for any kind of help on projects.\n### 1000 Computer Science Projects : https://www.computer-science-project.in/\n\n\nMail/Message me for Projects Help 🙏🏻\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fprojects-developer%2Fplant-disease-detection-project","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fprojects-developer%2Fplant-disease-detection-project","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fprojects-developer%2Fplant-disease-detection-project/lists"}