DEVELOPMENT OF SMART AGRICULTURAL TECHNOLOGY FOR TILAPIA FARMING BY USING THE INTERNET OF THINGS
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Abstract
The purposes of this research were: 1) to develop smart agricultural technology for Tilapia Farming by using the Internet of Things; 2) to assess the quality of smart agricultural technology for Tilapia Farming by using the Internet of Things; 3) to assess the efficiency of smart agricultural technology for Tilapia Farm using the Internet of Things; 4) to assess the satisfaction of farmers on smart agricultural technology for Tilapia Farming by using the Internet of Things. The target group was 50 farmers cultivating tilapia at Lam Pathao Dam. The research instruments included: smart agricultural technology for tilapia farming by using the Internet of all things; technology quality assessment form; technology application evaluation form; and satisfaction questionnaire. The results of the research could be summarized as follows. 1) The development of smart agricultural technology for tilapia farming by using the internet as a base, the system would receive data from 3 sensors including: dissolved oxygen quantity sensor, water temperature sensor, and pH sensor connected via microcontroller for collecting information and processing the data received from the sensors, then sending the data to be displayed via a web browser through 3G / 4G to display real-time water quality data measured by all the 3 sensors. It was also ready to display the status of aerator and fish feeder. The controlling part would control aeration and fish feeders. The system could be adjusted both automatically and manually. 2) The quality assessment of technology was at a high level (=4.23, S.D. = 0.58). 3) The assessment of the use of technology was at a high level (=4.44, S.D. = 0.62 ). 4) The satisfaction of the farmers on smart agricultural technology for Tilapia Farming by using the Internet of Things was at a high level. (=4.46 , S.D.=0.61).
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References
กระทรวงเทคโนโลยีสารสนเทศและการสื่อสาร. (2559). แผนพัฒนาดิจิทัลเพื่อเศรษฐกิจและสังคม: พฤษภาคม 2559.
พัชราวลัย ศรียะศักดิ์ นิวุฒิ หวังชัย ชนกันต์ จิตมนัส (2014). ผลกระทบจากสภาพอากาศและฤดูกาลต่อคุณภาพนํ้าในบ่อเลี้ยงสัตว์นํ้า. KKU Res. J., 19, 743-751.
ประคุณ ศาลิกร โสมสกาว เพชรานนท์. (2018). การลงทุนเลี้ยงปลานิลเพื่อการพาณิชย์ในจังหวัดนครปฐม. (1), 40-54%V 43.
สำนักนายกรัฐมนตรี. (2559). แผนพัฒนาเศรษฐกิจและสังคมแห่งชาติ ฉบับที่ 12.
Abir Tawfeeq, H. A. S. A. W., K.Vijayalakshmi. (2019). IoT based Aquaculture system with Cloud analytics International Journal of Applied Engineering Research, 14, 4136-4142.
Duang-Ek-Anong, S., Pibulcharoensit, S., & Phongsatha, T. (2019). Technology Readiness for Internet of Things (IoT) Adoption in Smart Farming in Thailand. International journal of simulation: systems, science & technology. doi:10.5013/IJSSST.a.20.05.12
Truong, T. M., Phan, C. H., Van Tran, H., Duong, L. N., Van Nguyen, L., & Ha, T. T. (2020, 2020//). To Develop a Water Quality Monitoring System for Aquaculture Areas Based on Agent Model. Paper presented at the Fourth International Congress on Information and Communication Technology, Singapore.