The invention is an interoperable and standard-based wireless sensing system, called SenseTube, consisting of a product and method for automatic environment/weather monitoring to facilitate crop resources management using on-site data processing techniques. The agro-meteorological parameters, determined using the sensor data, are analyzed to assist in the crop water, pest and disease management.
- Interoperability with other sensor systems: the uniform nature of the sensor data allows the system to be compatible with any sensor system
- Real time processing of sensor data: the system process the data received from the sensor array and transferred into the SOS database in real-time
- Raw observations converted into real values: the data sensor data is converted into decimal values using bitwise operations at the collection spot in real-time
- Observations are inserted in the SOS database in real time
- The system has a low powered SoC single board computer which acts as a field level Wi-Fi hotspot for the sensor and a data collection and dissemination platform
- General Purpose Input Output (GPIO) pins are utilized to connect the Analog to Digital Converter (ADC) and data is collected through Serial Peripheral Interface (SPI)
- The 10-bit resolution ADC facilitates analog sensors like temperature, humidity, etc
- All data collection and dissemination modules / libraries are written in Python
- The digital (raw) voltage observations collected from ADC are converted into real world observations and stored in Sensor Observation Service (SOS) database
- The sensing system comprises of sensor nodes transmitting observations at fixed intervals, which can be interfaced with multiple child sensor nodes at the base station
- Wireless communication protocol IEEE 802.11 is set at base station located at the field
- Internet service providers dynamically assign IP addresses to the field-based sensing system, making server communications cost effective using FTP servers or cloud
A fully functional prototype was installed and successfully tested in orange farms in the Amravati region
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Better crop management and pest control for large scale farms, increasing productivity
Agriculture industry, remote monitoring systems
Agriculture industry, remote monitoring systems
2236/MUM/2015
459709