Description

Abstract :

               In recent years, the development of technology has been rapidly improving and applying in aquaculture, also known as aqua-farming. A versatile, low power solution in monitoring and control system based on ZigBee network and Raspberry pi. A ZigBee based wireless sensor network (WSN) combined with a series of low power embedded MSP430 was used as a node in the system to monitor, control the critical environmental conditions like temperature, pH and water level. Besides that, Raspberry pi was used as a server to control all the sensor nodes in this system. The system also send alert message through SMS service to prompt user when needed or to monitor the system on mobile phone. Thus, a minimization of environmental fluctuations caused by sudden changes as well as manpower are reduced. The proposed system has been successfully designed with a reliable, fast response and easy to use with friendly Environment. It is suitable for small to medium sized farming operations as it does not require any refitting or reconstruction of the pond.

               In this work, a wireless sensor network is developed, applied to the measurement of temperature, PH and water level in the environment shrimp ponds. The control platform consists of Raspberry pi to control all the system. Then the friendly system is developed to achieve data from sensor network anywhere via web application as well as Android application. The system is monitored real-time and can be controlled manual or automatically.

Existing System:

• Shrimp farms were currently fed manually in almost household.
• RF based data Transmission.
• Most of ponds currently were monitored manually and irregularly, mostly according to the farmers’ experience.

Proposed System:

• Zigbee based Communication
• Notification via WAY2SMS
• Very much reliable and automatic system compare to previous design
  

Block Diagram : 

Data Acquisation Node

             

Master Node 

                       

Monitoring And controlling Section 

                   

Hardware : 

• Rasperry pi
• Sd card
• MSP 430
• Temperature Sensor
• PH Sensor
• Level Sensor
• Zigbee
• Motor with Relay circuit
• Buzzer

Software : 

• Rasbian Jessie OS
• Python
• Energia IDE
• Embedded C