rymafelkir/Agrisistance

AI-driven mobile app to help African farmers optimize land use and boost crop productivity. # Agrisistance Agrisistance is an AI-driven mobile app designed to help African farmers optimize land use and boost crop productivity. By leveraging advanced machine learning algorithms and data analytics, Agrisistance provides farmers with actionable insights and personalized recommendations tailored to their specific needs. ## Structure - **docs/**: Documentation files, including user guides and technical documentation. - **src/**: Source code for the mobile app, including frontend and backend components. - **models/**: Machine learning models and related scripts for training, evaluation, and deployment. - **data/**: Datasets used for model training and validation. - **tests/**: Unit and integration tests to ensure the robustness and reliability of the application. - **scripts/**: Utility scripts for data preprocessing, model training, and other tasks. - **config/**: Configuration files for different environments (development, testing, production). - **assets/**: Images, icons, and other static assets used in the app. - **README.md**: Project overview and setup instructions. ## Problem Solving Approach Agrisistance tackles the following problems: Optimizing Land Use: By analyzing soil properties, weather conditions, and historical crop data, Agrisistance provides recommendations on the best crops to plant and the optimal planting schedule. Boosting Crop Productivity: Using AI-driven insights, the app offers personalized advice on irrigation, fertilization, and pest management to maximize crop yields. Business Planning: Agrisistance helps farmers with business planning by providing financial forecasts, market trends, and cost-benefit analyses for different farming strategies. Resource Management: The app offers tools for efficient resource management, including water usage monitoring and inventory tracking for seeds and fertilizers. Networking and Industrial Connections: Agrisistance includes features to connect farmers with other related industries such as …