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Development of a Wireless Sensor Network for Monitoring Environmental Condition on a Farmland
| International Journal of Applied Information Systems |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 7 - Number 3 |
| Year of Publication: 2014 |
| Authors: Ganiyu R. A., Arulogun O. T., Okediran O. O |
10.5120/ijais14-451170
|
Ganiyu R. A., Arulogun O. T., Okediran O. O . Development of a Wireless Sensor Network for Monitoring Environmental Condition on a Farmland. International Journal of Applied Information Systems. 7, 3 ( May 2014), 28-34. DOI=10.5120/ijais14-451170
Abstract
In recent time, the wireless sensor network technology has found its implementation in precision agriculture as a result of the need for high productivity. This paper focuses on the development of a wireless sensor network on agricultural environment to monitor environmental conditions and deduce the appropriate environmental parameters required for the high yield of crop production on a given farmland. The developed wireless sensor network is built around sensor nodes and a master microcontroller (PI16F648A) that takes in the data sent from the nodes for upload into a personal computer (PC). Each node has sensors to monitor environmental conditions such as temperature, relative humidity and light intensity which are important environmental factors in an agricultural set-up. The DHT11 sensor is used to sense and provide calibrated digital outputs for the measured temperature and relative humidity while a calibrated light dependent resistor (LDR) is configured to the light intensity sensor unit. The outputs from these sensors are processed by the microcontroller and sent wirelessly, using low-power radio frequency transceivers, to a remote master controller for storage. The deployment of the developed wireless sensor network on a named farmland shows that the aforementioned could be efficiently utilized to provide an up-to-date and accurate measurement of agricultural environmental parameters necessary for plant protection and sustainable crop production. Thus, the developed wireless sensor network replaces the traditional method of predicting environmental parameters required on a given farmland.
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