Smart agriculture with IoT
Rahman, Jowel (2024)
Rahman, Jowel
2024
All rights reserved. This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2024053119376
https://urn.fi/URN:NBN:fi:amk-2024053119376
Tiivistelmä
Food security is one of the crucial challenges people must face in the coming days. A majority of farmers still cultivate in conventional farming methods, for which, the progress of crop production is not notable. This thesis aims to examine the digitalization of farming. The thesis finds a way to cultivate in challenging areas like Nordic countries.
The research begins with the challenges people face with the current farming system in the natural disasters, cultivable land, etc. Then it presents the IoT and its integration with agriculture. The research explores the expansion of sensor networks, data analytics, and communication technologies these create a network environment that simplifies the real-time monitoring and control of agricultural processes.
The research creates a real-time demo with Arduino hardware and software. It shows how smart agriculture works and how programming language is used in the system. The demo shows easy live monitoring. The thesis analyses the difficulties people can face in implementing smart agriculture. Then it finds the solutions to solve the difficulties.
In the end, the thesis displays the revolutionary way to implement the smart agriculture with IoT. It finds a way to produce food in challenging areas.
The research begins with the challenges people face with the current farming system in the natural disasters, cultivable land, etc. Then it presents the IoT and its integration with agriculture. The research explores the expansion of sensor networks, data analytics, and communication technologies these create a network environment that simplifies the real-time monitoring and control of agricultural processes.
The research creates a real-time demo with Arduino hardware and software. It shows how smart agriculture works and how programming language is used in the system. The demo shows easy live monitoring. The thesis analyses the difficulties people can face in implementing smart agriculture. Then it finds the solutions to solve the difficulties.
In the end, the thesis displays the revolutionary way to implement the smart agriculture with IoT. It finds a way to produce food in challenging areas.