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IoT based toxic gas detection and level of landfill ( Case study: NDUBA LANDFILL)

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dc.contributor.author MUKAMANA, Jacqueline
dc.date.accessioned 2022-03-28T11:43:24Z
dc.date.available 2022-03-28T11:43:24Z
dc.date.issued 2021-12
dc.identifier.uri http://hdl.handle.net/123456789/1541
dc.description Master's Dissertation en_US
dc.description.abstract As the world's population grows, so does the amount of waste increased. The majority of landfill emits toxic gases into the environment and the people living near landfill. For the sake of safeguarding the health and wellbeing of the environment and people, efficient landfill management is required. According to the conclusions of the Literature Review, emerging countries continue to face issues in managing landfills due to the economic impact, new technologies necessitate new infrastructure, and even current technology requires qualified and knowledgeable people. As a result, an IOT-based Toxic Gas Detection and Landfill Level was built using ultrasonic sensor, gas sensor, temperature sensor to gather data from physical environment which is Nduba landfill and those data are being processed by microcontroller and are transferred to the Adafruit IO Cloud Service using wifi. Then TwilioSms Application Programming interface send text messaging of status of Nduba Landfill to the concerned Persons. The goal of the thesis is to improve the management of the NDUBA Landfill in the GASABO District. This goal is reached through the use of qualitative methods in the research thesis. The results obtained would be helpfully to reach on Sustainable Development Goals like Good health and well-being of the people, clean water and Sanitation and Climate Action. en_US
dc.language.iso en en_US
dc.publisher College of science and Technology en_US
dc.subject Toxic Gas detection, Landfill Level Prediction, IoT Cloud Plantform and notification system en_US
dc.title IoT based toxic gas detection and level of landfill ( Case study: NDUBA LANDFILL) en_US
dc.type Dissertation en_US


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