mamadbah2/fouta-harvest-app

A comprehensive web application for managing agricultural plots in the Fouta region of Senegal Bachelor's Thesis Project - Computer Science & Business Management # 🌾 Fouta Harvest - Smart Agricultural Management Platform **A comprehensive agricultural management platform for the Fouta region of Senegal** Live Demo • Features • Tech Stack • Documentation --- ## 📋 About The Project **Fouta Harvest** is a complete agricultural management system developed as a **bachelor's thesis project** combining **Computer Science** and **Business Management**. The application enables farmers in Senegal's Fouta region to efficiently manage their agricultural plots, monitor crop health through IoT sensors, track cultivation history, and optimize their farming operations. This web application was successfully presented as a **final year undergraduate project** (Licence en Informatique) focused on **enterprise management** and deployed to production on **Vercel**: fouta-harvest.vercel.app ### 🎯 Project Objectives This thesis project demonstrates: - ✅ **Full-Stack Development**: Modern web application with Next.js 15 and TypeScript - ✅ **Business Process Management**: Complete agricultural workflow automation - ✅ **Data Visualization**: Real-time monitoring dashboards and analytics - ✅ **IoT Integration**: Sensor data management for precision agriculture - ✅ **User Experience**: Intuitive interface for farmers with varying technical skills - ✅ **Enterprise Architecture**: Scalable, production-ready codebase ### 🌍 Regional Focus: Fouta, Senegal The application is specifically designed for the Fouta region, covering areas such as: - **Matam** - Rice cultivation - **Podor** - Millet farming - **Bakel** - Corn production --- ## ✨ Features ### 🗺️ Plot Management (Parcelles) - **Plot Overview**: View all agricultural plots with key metrics - Surface area tracking (hectares) - Real-time status monitoring - Location-based organization (Matam, Podor, Bakel) - **Detailed Plot Information**: - Crop type and variety identification - Planting dates and growth stages - IoT sensor integration (temperature, humidity, pH, growth) - Inter …