▷ IoT-Based Shrimp Pool Optimization with LoRa Technology

⭐⭐⭐⭐IoT-Based Shrimp Pool Optimization with LoRa Technology

➡️ #ControlSystem #MonitoringSystem #ShrimpPools #IoT #LoRa #FuzzyLogic #FuzzyLogicControl #Matlab #ESP32 #ESP32lora
➡️ #IJACSA: International Journal of Advanced Computer Science and Applications
✅ Some of the functionalities used in MATLAB and Lora Devices are found in the repository: https://github.com/josep5097/LoRa-Shrimp-Monitoring-Control
⭐ When using this resource, please cite the original publication:

José M. Pereira Pontón, Verónica Ojeda, Víctor Asanza, Leandro L. Lorente-Leyva and Diego H. Peluffo-Ordóñez, “Design and Implementation of an IoT Control and Monitoring System for the Optimization of Shrimp Pools using LoRa Technology” International Journal of Advanced Computer Science and Applications(IJACSA), 14(8), 2023. http://dx.doi.org/10.14569/IJACSA.2023.0140829

✅ Abstract:

The shrimp farming industry in Ecuador, renowned for its shrimp breeding and exportation, faces challenges due to diseases related to variations in abiotic factors during the maturation stage. This is partly attributed to the traditional methods employed in shrimp farms. Consequently, a prototype has been developed for monitoring and controlling abiotic factors using IoT technology. The proposed system consists of three nodes communicating through the LoRa interface. For control purposes, a fuzzy logic system has been implemented that evaluates temperature and dissolved oxygen abiotic factors to determine the state of the aerator, updating the information in the ThingSpeak application. A detailed analysis of equipment energy consumption and the maximum communication range for message transmission and reception was conducted. Subsequently, the monitoring and control system underwent comprehensive testing, including communication with the visualization platform. The results demonstrated significant improvements in system performance. By modifying parameters in the microcontroller, a 2.55-fold increase in battery durability was achieved. The implemented fuzzy logic system enabled effective on/off control of the aerators, showing a corrective trend in response to variations in the analyzed abiotic parameters. The robustness of the LoRa communication interface was evident in urban environments, achieving a distance of up to 1 km without line of sight.

✅ Introduction:

Shrimp farming is a crucial industry in Ecuador, contributing significantly to the country's economy. However, it faces challenges related to diseases that can be influenced by variations in abiotic factors during the shrimp maturation stage. To address these challenges, we have developed an innovative IoT-based control and monitoring system using LoRa technology.

✅ The IoT Control and Monitoring System:

System Architecture:

Our system comprises three nodes, each equipped with sensors to measure essential abiotic parameters: temperature and dissolved oxygen. These nodes communicate through the LoRa (Long Range) interface, providing a cost-effective and efficient solution for data transmission in remote shrimp pools.

Fuzzy Logic Control:

One of the key features of our system is the implementation of a fuzzy logic control system. This control system evaluates temperature and dissolved oxygen levels to determine the optimal state of the aerator. By continuously analyzing these parameters, the system can make real-time decisions about turning the aerator on or off to maintain optimal conditions for shrimp growth.

Energy Efficiency

We conducted a detailed analysis of equipment energy consumption to ensure the system operates efficiently. By optimizing parameters in the microcontroller, we achieved a remarkable 2.55-fold increase in battery durability, reducing the need for frequent battery replacements and maintenance.

Communication Range

Testing our LoRa-based communication system demonstrated impressive results. The system successfully transmitted and received messages over distances of up to 1 kilometer in urban environments, even without a direct line of sight. This robust communication capability ensures reliable data transfer even in challenging conditions.

✅ Testing and Results:

Comprehensive testing of our monitoring and control system revealed significant improvements in performance. The fuzzy logic control system effectively managed the aerators, maintaining stable abiotic conditions. This resulted in a corrective trend in response to variations in temperature and dissolved oxygen, ultimately contributing to healthier shrimp growth.

✅ Conclusion:

Our IoT-based control and monitoring system, powered by LoRa technology and fuzzy logic control, offers a promising solution to enhance shrimp farming practices in Ecuador. By optimizing abiotic conditions and improving energy efficiency, we aim to mitigate disease-related challenges and increase overall productivity in the shrimp farming industry.
For more detailed information and technical specifications, please refer to the full research paper or contact our team for inquiries.
Stay tuned for more updates and advancements in IoT technology for agriculture!

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