Smart Agriculture and Plant Health Monitoring using IoT
Description
The dataset is provided in a .xlsx file format, where each column represents a different sensor data, including Environmental Temperature , Environmental Humidity , Environmental Light Intensity , Solar Panel Battery voltage , Soil Moisture , Soil Temperature , Soil Humidity , Soil pH , Water TDS. Each row corresponds to a timestamped reading of the sensors, offering comprehensive data for real-time monitoring.
Files
Steps to reproduce
To gather the data for the Smart Agriculture and Plant Health Monitoring project, we utilized a range of sensors connected to an Arduino microcontroller, integrated with an ESP8266 Wi-Fi module for cloud data transmission. The sensors measured various environmental and soil parameters, including Environmental Temperature, Environmental Humidity, Light Intensity, Soil pH, Soil Temperature, Soil Moisture, Solar Panel Battery Voltage and Water TDS. Methods and Protocols: 1. Sensors: A suite of sensors (environmental and soil-specific) were deployed to collect data. These include Environmental Temperature, Environmental Humidity, Light Intensity, Soil pH, Soil Temperature, Soil Moisture, Solar Panel Battery Voltage and Water TDS. 2. Arduino: The Arduino microcontroller was programmed to collect sensor data, process it, and send it to the cloud for real-time monitoring. 3. ESP8266: The ESP8266 module handled the Wi-Fi connectivity, enabling seamless transmission of data to the cloud (ThingSpeak platform). 4. Software: Arduino IDE was used to code the microcontroller and sensor integration. The data was transmitted & visualized using the ThingSpeak cloud platform, allowing for remote monitoring and analysis. 5. Protocols: Data from the sensors was gathered at intervals, processed through the Arduino, & transmitted using HTTP requests to the cloud.
Institutions
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Funding
La Trobe University