Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/16269
Title: A Modified Web-Based Agro-Climatic Remote Monitoring System Via Wireless Sensor Network
Authors: James, Agajo
Jonathan G. Kolo, Godfrey Jonas,
Abdulkareem Ridwan Opeyemi, Nosiri Onyebuchi Chikeze
Okeke, Benjamin Chukwujekwu
Keywords: Web-Based
Agro-Climatic Remote Monitoring System Via Wireless Sensor Network
Issue Date: 2017
Publisher: IEEE 3rd International Conference on Electro-Technology for National Development (NIGERCON)
Abstract: Weather and climatic monitoring plays a significant role in agriculture, so the collection of information about the temporal dynamics of weather or climatic changes is very important. This does intend to advance our previous work by modifying it and focus on Web based Remote monitoring and data acquisition of Agro-climatic parameters using wireless sensor system. The system which has been designed to operate remotely consists of the temperature/humidity sensor, soil moisture sensor interfaced to the ATMEGA 2560 Microcontroller, a local display and the CC3000 Wi-Fi shield also interfaced to it. When the system is active, the sensors sense these physical parameters and then, the LCD displays the current conditions sensed locally. Furthermore, a connection is established between the CC3000 Wi-Fi shield and the access point in order to transmit the sensed parameters to the web application via the web address for remote monitoring and data acquisition. The entire system is capable of sensing parameters, display them locally and transmit the same parameters to the web where they can be remotely monitored, acquired and analyzed. The result obtained from this developed system in comparison with an existing system capable of measuring temperature and humidity respectively shows that, the percentage error for temperature and humidity from the existing system was evaluated as 7.91% and 9.52% respectively and the percentage error for temperature and humidity from the developed system was evaluated as 8.21% and 9.45% respectively. Based on the result obtained, the accuracy of the different sensors used is assumed to be responsible for this variation. Therefore the percentage error of the system is a function of the accuracy of the sensors that were used. The developed system prototype could be deployed in areas like agriculture so as to boost farm and climate monitoring and data acquisition.
URI: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/16269
Appears in Collections:Computer Engineering

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