Wireless sensor network system for microclimate and soil nutrients monitoring in precision agriculture
5
Issued Date
2024
Copyright Date
2018
Resource Type
Language
eng
File Type
application/pdf
No. of Pages/File Size
x, 63 leaves : ill.
Access Rights
open access
Rights
ผลงานนี้เป็นลิขสิทธิ์ของมหาวิทยาลัยมหิดล ขอสงวนไว้สำหรับเพื่อการศึกษาเท่านั้น ต้องอ้างอิงแหล่งที่มา ห้ามดัดแปลงเนื้อหา และห้ามนำไปใช้เพื่อการค้า
Rights Holder(s)
Mahidol University
Suggested Citation
Jigme Norbu (2024). Wireless sensor network system for microclimate and soil nutrients monitoring in precision agriculture. Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/91605
Title
Wireless sensor network system for microclimate and soil nutrients monitoring in precision agriculture
Author(s)
Advisor(s)
Abstract
Over the past decades, the world has experienced some noticeable climate change due to global warming. Agriculture is one of the most vulnerable sectors under climate change as the crop productivity hugely relies on climatic conditions. Furthermore, due to rapid population growth, food demand is rapidly rising that leads to agriculture intensification and increased land clearing despite of the fact that cultivable land is limited. However, meeting the rising food demand both in terms of quantity and quality remains a huge challenge at this juncture. It is therefore, imperative for the farmers to seek help of the sustainable and robust modern technologies to enhance their crop productivity. In this research, a lab designed wireless sensor network system based on Zigbee module and an electronic nose based on metal oxide gas sensors were assessed and implemented to monitor microclimatic conditions and to predict soil nitrogen content respectively. The results revealed that the system was not only capable of monitoring real-time microclimatic conditions, but also can adequately predict crop yield based on the acquired weather data. Additionally, the electronic nose coupled with radial basis function was found to efficiently predict the soil nitrogen concentration with 96.2% accuracy, and that it has huge potential of offering an alternative to conventional soil testing methods. In the future, the capability of electronic nose and radial basis function in determining soil organic matter needs to be explored.
Description
Materials Science and Engineering (Mahidol University 2018)
Degree Name
Master of Science
Degree Level
Masters
Degree Department
Faculty of Science
Degree Discipline
Materials Science and Engineering
Degree Grantor(s)
Mahidol University