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TECHNOLOGY ACCEPTANCE MODEL TO EVALUATE THE ADOPTION OF THE INTERNET OF THINGS FOR PLANTING MAIZE |
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| รหัสดีโอไอ | |
| Creator | Kanita Saengkrajang |
| Title | TECHNOLOGY ACCEPTANCE MODEL TO EVALUATE THE ADOPTION OF THE INTERNET OF THINGS FOR PLANTING MAIZE |
| Contributor | Panana Tangwannawit |
| Publisher | Pibulsongkram Rajabhat University |
| Publication Year | 2564 |
| Journal Title | Life Sciences and Environment Journal |
| Journal Vol. | 22 |
| Journal No. | 2 |
| Page no. | 262-273 |
| Keyword | Internet of things, Technology acceptance model, IoT acceptance model (IoTAM), Maize |
| URL Website | https://ph01.tci-thaijo.org/index.php/psru/index |
| Website title | Life Sciences and Environment Journal |
| ISSN | 2773-9201 |
| Abstract | In recent days, Artificial Intelligence, or AI, has been utilized for various businesses especially in the field of agriculture. By applying the AI technology into the system, computers can understand and operate in a way that is similar to humans or sometimes even better. The use of AI can turn the very complex work of data management into an automated system which significantly helps people to work easier, quicker, and more convenient. The combination of using existing equipment with AI Technology is called Internet of Things (IOT) where all sorts of equipment used are turned into smart devices through internet connection. These smart devices can then receive various data and information through sensors on the devices. Thus, IOT is considered an important tool in collecting huge amount of data into the database which then generates big data. Big Data will be entered into AI to further improve and create constant machine learning. This research focuses on testing with maize, economical crop grown in Phetchabun province, Thailand. The objectives of this research were 1) to design and improve the IOT system through the use of soil moisture sensor, temperature, and humidity sensor (DHT11) with real time monitoring by connecting the data received to Google Sheet, and 2) to understand the factors that affect the acceptance of IOT system technology. The results from this research showed that: 1) the IOT system for planting maize which is an economic crop in Phetchabun province was obtained, 2) the acceptance of this technology in terms of letting the farmers aware of the benefits and the convenience in using the IOT system. Perceived usefulness influences the adoption of technology was at a very high level, perceived ease of use influences the adoption of technology was at a high level and intention to use was at a high level. The results from research showed that the awareness for the benefits and the convenience of using this technology which leads to acceptance of the technology and increases productivity in the future using IOT system. |
