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IOT-Farming

Thesis Info

Author

Furqan Syed Ahmed

Program

BS

Institute

Habib University

Institute Type

Private

City

Karachi

Province

Sindh

Country

Pakistan

Thesis Completing Year

2019

Thesis Completion Status

Completed

Subject

Software Engineering

Language

English

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676724378303

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Agriculture being the largest sector of Pakistan, plays an integral role in economy and food production but still lacks behind due to traditional farming approaches. IoTFarming develops a network architecture with the latest LoRaWAN technology to aid commercial/private farms. It consists of easy to use, fully autonomous and cost effective sensor nodes that measure the air temperature, relative humidity and soil moisture and communicate the data to a single-channel LoRaWAN gateway which then transmits it to the Network Server, The Things Network, making it accessible on the internet. From the Network server the data is then further transmitted onto the application server, All Things Talk. The data can be monitored visually using AllThingsTalk web page or mobile application in the form of readings, graphs and figures, making better and informed agricultural decisions, reducing water wastage and increasing yield. Also, a data log of the farm is maintained online (stored on the cloud) and offline (exported as CSV) for further data analysis and weather predictions. Furthermore, a weather data set was acquired to develop Machine Learning algorithms for rain prediction with an achieved accuracy of 77%
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