DESIGN AND IMPLEMENTATION OF AGRICULTURE ENVIRONMENT MONITORING SYSTEM BASED ON WIRELESS SENSOR NETWORK (WSN) AND CLOUD SERVICES

ABSTRACT DESIGN AND IMPLEMENTATION OF AGRICULTURE ENVIRONMENT MONITORING SYSTEM BASED ON WIRELESS SENSOR NETWORK (WSN) AND CLOUD SERVICES By Adrian Stanislaus Trisetya Siregar NIM: 18118036 (Telecommunication Engineering Program) At least 70 percent of the 8 million hectares of agriculture...

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Bibliographic Details
Main Author: Stanislaus T.S, Adrian
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/66633
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Institution: Institut Teknologi Bandung
Language: Indonesia
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Summary:ABSTRACT DESIGN AND IMPLEMENTATION OF AGRICULTURE ENVIRONMENT MONITORING SYSTEM BASED ON WIRELESS SENSOR NETWORK (WSN) AND CLOUD SERVICES By Adrian Stanislaus Trisetya Siregar NIM: 18118036 (Telecommunication Engineering Program) At least 70 percent of the 8 million hectares of agriculture fields in Indonesia contain low organic matter. One of the reasons for this condition is land utilization that is not in accordance with the potential and capabilities of the land. This degraded land condition can lead to declining in land productivity which results in reduced quality and quantity of crop yields to the occurrence of natural disasters. To avoid this, precision farming methods can be applied that utilize data taken from sensors through IoT devices such as the Wireless Sensor Network. Though However, WSN itself has a problem where the energy usage is very large while the available energy resources are small. This causes problems in the efficiency and effectiveness of agriculture field management and can lead to new environmental problems. In this final project, an agricultural environmental monitoring system is developed using WSN and cloud services that are more energy efficient. This system can retrieve relevant agricultural environmental information including air temperature, soil moisture data and pH index. Data from a number of scattered sensors in an area will then be sent to the base station which will perform data transmission to a server. Sensor result data will be stored in a database and will be visualized in the form of a dashboard. Dashboard can display visualization of sensor values in the form of historical data graphs, actual values in real-time, also maximum, minimum, and average values. Database and dashboards will be run on cloud services so that they can be accessed by users from around the globe via internet access. Keywords: wsn, dashboard, cloud service, agriculture