Developing AgriTemp: An Application System For Temperature And Humidity Forecasting Supporting Sustainable Farming in Bukidnon

AgriTemp is an application designed to deliver real-time temperature and humidity forecasts, offering farmers in Bukidnon with weather insights. It incorporates advanced technologies across development, frontend, backend, and AI systems. Key tools include IntelliJ IDEA for Java-based backend development, Android Studio for mobile interface, and Electron for cross-platform desktop applications. Core programming languages such as Java, JavaScript, HTML, and CSS build its dynamic interface, while Apache ensures stable web server performance.

The backend leverages MySQL for secure data management and Node.js for handling real-time user requests. Machine learning is powered by PyTorch, enhancing NLP functionalities, and Botpress, which delivers interactive AI-based agricultural insights. The development environment is streamlined with Anaconda for AI package management and Ngrok for testing secure, localized web access.

AgriTemp showcases innovative integration of technology for climate-smart, sustainable farming solutions.