2690-6791ISSN (Online)
2769-786XISSN (Print)
Volume 14 , Issue 1 , PP: 185-195, 2025 | Cite this article as | XML | Html | PDF | Full Length Article
Danish Ather 1 * , Abu Bakar Bin Abdul Hamid 2 , Binti Ya’akub 3 , Rubina Liyakat Khan 4 , Pooja 5 , Rajneesh Kler 6
Doi: https://doi.org/10.54216/JISIoT.140114
The current work focuses on the establishment of an enhanced Internet of Things (IoT) model in expectation to improve the sunflower seeds output in Uzbekistan. The presented framework involves examination of air quality, soil moisture, temperature, humidity, light intensity, GPS and weather station which is anticipated in giving a complete control and monitoring of the environmental probes at real time. The main goal is to establish an argument that such architecture will increase the yields in agriculture. It is done by simulating a model based on correlation and regression on secondary data which shows that the model will provide solutions to the problems associated with conventional farming which include conventional approaches towards provision of water and failure to internalize the conditions within which farming activities occur. The connection of the proposed sensors with the platform based on Arduino allows to gather and analyze the data that is essential for making appropriate decisions by the farmers. As the results the use of the developed framework in selected fields of sunflower will enhance yield with a potential of up to 25% in yield increase. Thus, the results shows that the implementation of such an innovative IoT architecture can greatly help farmers to increase efficiency, make proper use of resources, and minimize the negative effects on the environment while contributing to the development of sustainable agriculture. At the end the study recommends that further studies shall include more variables in the framework and test it for other crops and in other regions.
IoT Framework , Arduino Platform , Sunflower Seed Production , Air Quality Sensors , Soil Moisture Sensors , Temperature Sensors , Light Intensity Sensors , GPS , Automated Irrigation , Uzbekistan Farming
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