Design and Application of Intelligent Agriculture Service System with LoRa-based on Wireless Sensor Network
Objective
This work proposes a low-power farm environment detection system based on LoRa wireless technology.
Abstract
This project proposes a low-power farm environment detection system based on LoRa wireless technology. In view of the current intelligent agriculture's collection and processing of production site data and the control requirements of related equipment, ZigBee, Wi-Fi, GPRS traditional wireless sensing technology has short trans-mission distance and signal interference in greenhouse environment monitoring systems such as large-scale farms. Short comings such as complex net-working.
This model can use various sensors in the laboratory to complete the detection of soil and model environmental parameters, and implement lighting control and irrigation control, cooling control and man-machine control.
The designed system sleep current is as low as 0.3μA, the average working current, has the advantages of long transmission distance and low power consumption. After verifying the feasibility of the technology through an experimental model, the system was applied to a specific greenhouse and data collection and analysis were completed.
Keywords: LORA, Intelligent Agriculture, Wireless Sensor Network
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Block Diagram
Specifications
Software & Hardware Requirements:
Software: Matlab 2018a or above
Hardware:
Operating Systems:
- Windows 10
- Windows 7 Service Pack 1
- Windows Server 2019
- Windows Server 2016
Processors:
Minimum: Any Intel or AMD x86-64 processor
Recommended: Any Intel or AMD x86-64 processor with four logical cores and AVX2 instruction set support
Disk:
Minimum: 2.9 GB of HDD space for MATLAB only, 5-8 GB for a typical installation
Recommended: An SSD is recommended a full installation of all Math Works products may take up to 29 GB of disk space
RAM:
Minimum: 4 GB
Recommended: 8 GB
Learning Outcomes
- Introduction to Matlab
- What is EISPACK & LINPACK
- How to start with MATLAB
- About Matlab language
- Matlab coding skills
- About tools & libraries
- Application Program Interface in Matlab
- About Matlab desktop
- How to use Matlab editor to create M-Files
- Features of Matlab
- Basics on Matlab
- Basics of wireless sensor networks
- About LoRa modules
- How system modal can be formed in Matlab.
- Construction of algorithm according to system modal
- Analyzing and visualization of plots.
- About agricultural resources and their utility using LoRa modules.
- LoRa transmissions.
- Phases of data transmission:
- Generation of input data
- Construction of WSN nodes
- How to extend our work to another real time applications
- Project development Skills
- Problem analyzing skills
- Problem solving skills
- Creativity and imaginary skills
- Programming skills
- Deployment
- Testing skills
- Debugging skills
- Project presentation skills
- Thesis writing skills
Related Projects
Paper Publishing
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Disclaimer - Takeoff Edu Group Projects, are not associated or affiliated with IEEE, in any way. The IEEE Projects mentioned here are mentioned in the context of student projects, whose ideas are derived from IEEE publications, and not projects of or by IEEE.
