Advanced IoT Framework for Optimizing Sunflower Seed Production in Uzbekistan: Integration of Multi-Environmental Sensors

 

 

Danish Ather1, 2,*, Abu Bakar Bin Abdul Hamid3, Noor Inayah Binti Ya’akub3, Rubina Liyakat Khan4, Pooja5, Rajneesh Kler1, 2

 

1Post Doctoral Research Fellow, Infrastructure University Kuala Lumpur, Malaysia

2Amity University in Tashkent, Uzbekistan

3Infrastructure University Kuala Lumpur, Malaysia

4Imam AbdulRahman Bin Faisal University, Saudia Arabia

5Sharda University Uzbekistan

Text Box: Abstract 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. Emails: danishather@gmail.com; abubakarhamid@iukl.edu.my; inayah@iukl.edu.my; rlkhan@iau.edu.sa; rkler@amity.uz

 

Received: February 19, 2024 Revised: April 28, 2024 Accepted: July 20, 2024

Keywords: IoT Framework; Arduino Platform; Sunflower Seed Production; Air Quality Sensors; Soil Moisture Sensors; Temperature Sensors; Light Intensity Sensors; GPS; Automated Irrigation; Uzbekistan Farming