报告详情
A Low-Cost Embedded IoT System for Real-Time Rice Leaf Nitrogen Assessment in Tropical Smallholder Agriculture
编号：121
访问权限：仅限参会人
更新：2026-10-04 23:46:15 浏览：23次
In-person
报告开始：2026年10月13日 10:45（Asia/Ho_Chi_Minh）
报告时间：15min
所在会场：[S6] Track 7: Pattern Recognition, Computer Vison and Image Processing&Track 8: Communication and Networking Technologies for Smart Agriculture [S6-1] Track 7: Pattern Recognition, Computer Vison and Image Processing&Track 8: Communication and Networking Technologies for Smart Agriculture
摘要
Inefficient nitrogen (N) management in smallholder rice farming leads to low fertilizer use efficiency (30–50%) and environmental losses. This paper presents the design, implementation, and field validation of a low-cost (₱20,000/USD $360) embedded IoT system for real-time rice leaf N assessment under tropical field conditions in Catanduanes, Philippines. The embedded device integrates an Arduino-based microcontroller, OV7670 RGB camera with controlled 6500K LED lighting, NEO-6M GPS module (±3m accuracy), and LCD display. On-board image processing using RGB-to-HSV color space conversion estimates N status in <30 seconds per sample. Validation with 20 rice farmers (80% aged ≥51 years; mean experience 28.7±14.2 years; 70% no prior technology use) demonstrated exceptionally high demonstration effectiveness (composite mean = 4.79/5.00, SD=0.413). Overall usability was rated 4.50/5.00 (SD=0.581) on a 5-point Likert scale, with Cronbach's α = 0.87 indicating excellent internal consistency. Perceived ease of learning (4.58±0.50) and ease of use (4.55±0.54) received the highest ratings. A significant positive correlation was found between demonstration effectiveness and adoption intention (r=0.68, p<0.01). The device addresses three major leaf color chart constraints: ambient light dependency, operator subjectivity, and lack of geospatial tagging, offering a scalable embedded solution for precision N management in resource-limited tropical agriculture.
关键词
embedded systems,Internet of Things,leaf color chart,nitrogen management,low-cost sensor,rice smallholders
报告人
Jonah Sarmiento
Instructor Catanduanes State University稿件作者
全部评论
重要日期
-
会议日期
10月11日
2026
至10月14日
2026
-
12月30日 2025
报告提交截止日期
-
09月28日 2026
提前注册日期
-
10月10日 2026
初稿截稿日期
-
10月14日 2026
注册截止日期
主办单位
United Societies of Science
承办单位
Posts and Telecommunications Institute of Technology
协办单位
IEEE Section
IEEE Vietnam Section
IEEE Vietnam Section
联系方式
- ASIANComNet 2026
- as******@usssociety.org
发表评论