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tech tyrants (1) AI-DRIVEN CROP DISEASE PREDICTION
- 1. TITLE PAGE SMART INDIAHACKATHON 2024 • Problem Statement ID – SIH1638 • Problem Statement Title- AI-Driven Crop Disease Prediction • Theme- Agriculture, FoodTech & Rural Development • PS Category- Software • Team ID - • Team Name – TECH TYRANTS and Management System.
- 2. AI-Driven Crop DiseaseManagement System Proposed Solution • Solution Overview: 2 @SIH Idea submission- Template TECH TYRANTS Data Collection: Uses high-resolution crop images and real-time environmental data (temperature, humidity, etc.) through mobile and web apps. Image Analysis: Employs Convolutional Neural Networks (CNNs) to identify and classify crop diseases from images. Predictive Analytics: Assesses disease risk and forecasts outbreaks based on combined image and environmental data. Recommendations: Provides tailored treatment suggestions and preventive measures. Early Detection: Identifies diseases early to minimize damage. Timely Intervention: Offers actionable insights and treatment recommendations. Data-Driven Decisions: Empowers farmers with informed, data-based decisions. Accessibility: Mobile and web apps make it user- friendly and accessible. •Addressing the Problem: •Innovation: Integrated Approach: Combines image analysis with environmental data. Advanced AI: Utilizes state-of-the-art machine learning for accurate predictions. Real-Time Feedback: Instant insights and alerts on disease risks. User-Centric: Designed for ease of use on mobile and web platforms.
- 3. TECHNICALAPPROACH 3 @SIH Idea submission-Template TECH TYRANTS 1. Programming Languages: Python: For developing machine learning models, data processing, and backend services. JavaScript/TypeScript: For frontend development of the web application. Flutter: For mobile app development (iOS and Android respectively). 2. Frameworks and Libraries: TensorFlow/ Keras or PyTorch: For building and training machine learning models (CNNs for image classification). OpenCV: For image preprocessing and enhancement. Flask/ Django: For backend development and API services. React/ Vue.js: For frontend development of the web application. FLOW CHART: User Interface (Mobile/Web App) Image & Data Input (Environmental Data) Data Preprocessing (Cleaning & Normalization) Feature Extraction Disease Prediction (ML Model Analysis) Recommendations (Prevention & Treatment) Reporting & Notifications
- 4. FEASIBILITY 4 @SIH Idea submission-Template TECH TYRANTS Technical Feasibility: • Data Availability: With a growing number of public and private datasets related to crop diseases, data collection and annotation are feasible. Collaboration with agricultural research institutions could also provide additional data. • Integration: Combining image analysis with environmental data requires robust data integration strategies, but existing APIs and sensor technologies make this technically feasible. • Machine Learning: Modern machine learning frameworks like TensorFlow and PyTorch provide robust tools for building and training image classification models. CNNs have proven effective in recognizing patterns in images, making them suitable for disease detection. Economic Feasibility: • Development Costs: Developing the application involves costs for software development, cloud services, and data acquisition. However, cloud platforms offer scalable pricing models, and open-source tools can reduce initial expenses. • ROI for Farmers: By preventing disease outbreaks and improving yields, the potential savings and increased profits for farmers could outweigh the initial investment in the technology. Operational Feasibility: • User Adoption: Mobile and web-based applications are widely used, which aligns with farmers’ growing use of technology in agriculture. Training and support materials will enhance user adoption. • Maintenance: Regular updates and support will be required to address emerging diseases and changing environmental conditions. Cloud-based infrastructure facilitates easier updates and scalability.
- 5. IMPACT AND BENEFITS Benefitsof the solution: 5 @SIH Idea submission- Template TECH TYRANTS Potential impact on the target audience Farmers • Improved Food Security: Enhances crop yields and reduces food shortages by effectively managing diseases. • Farmer Empowerment: Provides farmers with advanced tools and knowledge for better decision-making. Social Benefits: • Increased Revenue: Reduces crop losses and boosts yields, leading to higher profits. • Cost Savings: Minimizes the need for excessive pesticides and treatments through early detection and targeted interventions. Economic Benefits: • Sustainable Practices: Promotes the use of targeted treatments, reducing chemical runoff and environmental impact. • Resource Efficiency: Optimizes the use of water and other resources by providing data-driven recommendations. Environmental Benefits: • Efficiency Gains: Streamlines disease management processes with real-time insights and automated recommendations. • Accessibility: Mobile and web platforms ensure easy access to the system, even in remote areas. Operational Benefits:
- 6. RESEARCH AND REFERENCES 6 @SIHIdea submission- Template TECH TYRANTS 1. AI-Driven Crop Disease Prediction and Management https://engineersplanet.com/abstracts/ai-driven-crop-disease-prediction-and-management- system/ 2. Machine Learning for Crop Disease Detection https://www.xenonstack.com/blog/crop-disease-detection-with-ai-early-identification 3. Precision Agriculture with AI and IoT https://link.springer.com/article/10.1007/s11119-024-10164-7
- 7. 7 @SIH Idea submission-Template 1. Kindly keep the maximum slides limit up to six (6). ( Including the title slide) 2. Try to avoid paragraphs and post your idea in points /diagrams / Infographics /pictures 3. Keep your explanation precise and easy to understand 4. Idea should be unique and novel. 5. You can only use provided template for making the PPT without changing the idea details pointers (mentioned in previous slides). 6. You need to save the file in PDF and upload the same on portal. No PPT, Word Doc or any other format will be supported. Note - You can delete this slide (Important Pointers) when you upload the details of your idea on SIH portal. IMPORTANT INSTRUCTIONS Please ensure below pointers are met while submitting the Idea PPT: