Saynbemorinbewang2/Open-Dataset-for-Precision-Agriculture-in-Greenhouse-Environments

This repository contains an open-access dataset collected from a controlled greenhouse environment at the University of Ngaoundéré, Cameroon. The dataset includes measurements of: Temperature (°C) Ambient Humidity (%) Soil Moisture (%) Received Signal Strength Indicator (RSSI) # Precision Agriculture Greenhouse Dataset ## Overview This repository provides an **open-access dataset** collected from a controlled greenhouse environment at the **University of Ngaoundéré, Cameroon**. The data was gathered as part of a study on precision agriculture, leveraging **Wireless Sensor Networks (WSNs)** to monitor key environmental and network parameters. ## Dataset Features The dataset includes measurements of: - **Temperature (°C)** - **Ambient Humidity (%)** - **Soil Moisture (%)** - **Received Signal Strength Indicator (RSSI)** Data was collected across **four scenarios** using two wireless communication technologies: 1. **Bluetooth Low Energy (BLE)**: Known for its energy efficiency. 2. **WiFi (ESP-NOW)**: Optimized for low-energy, connectionless communication. ### Collection Details - **Location**: Greenhouse, University of Ngaoundéré, Cameroon. - **Collection Period**: 48 hours per scenario. - **Sampling Frequency**: Every 30 minutes. - **Format**: CSV files, easy to integrate into data pipelines.