dc.contributor.author |
Nahaima, Musa. |
|
dc.date.accessioned |
2021-02-16T11:57:00Z |
|
dc.date.available |
2021-02-16T11:57:00Z |
|
dc.date.issued |
2021-02 |
|
dc.identifier.citation |
Nahaima, Musa. (2021). IOT based irrigation system. Busitema University. Unpublished dissertation. |
en_US |
dc.identifier.uri |
http://hdl.handle.net/20.500.12283/473 |
|
dc.description |
Dissertation |
en_US |
dc.description.abstract |
After hundreds of years of irrigation, a lot of irrigation water has been misused and over watering on irrigation farms. This leaves us wasting water in the times where irrigation is carried out without predicting the likeliness of rainfall in the near hours. However, this also causes the unexpected dangers of over watering like leaching, flooding of the farm land, wastage of irrigation water say when stored for irrigation and also uprooting of crops.
This research focused on addressing the major problems encountered due to too much waters resulted from rainfall which is experienced after irrigation. This happens through keeping track of the weather forecasting to predict rainfall likeliness once the farm land is detected dry before irrigation takes place.
The system achieves its functionality through use of soil moisture sensor for moisture level detection and weather APIs for weather forecasting before automatically irrigation by turning on the irrigation pump. |
en_US |
dc.description.sponsorship |
Mr. Matovu Davis
Busitema University |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Busitema University. |
en_US |
dc.subject |
Irrigation |
en_US |
dc.subject |
Irrigation farms |
en_US |
dc.subject |
Rainfall |
en_US |
dc.subject |
Leaching |
en_US |
dc.subject |
Flooding |
en_US |
dc.subject |
Farm land |
en_US |
dc.subject |
Weather |
en_US |
dc.subject |
Soil |
en_US |
dc.subject |
Weather forecasting |
en_US |
dc.subject |
Irrigation pump |
en_US |
dc.title |
IOT based irrigation system. |
en_US |
dc.type |
Thesis |
en_US |