Practical application of an intelligent irrigation system to rice paddies in Taiwan
Yuan-Fu Zeng, Ching‐Tien Chen, Gwo‐Fong Lin
National Taiwan University National Chiayi University
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
Plant growth depends on a number of conditions, including moisture, sunlight, air and temperature. Particularly, soil moisture is critical for plant survival. Recently, climate change has increased the frequency of extreme weather events, and the influence of topography, uneven spatial and temporal rainfall distribution and extreme climate has affected food security and irrigation water allocation in Taiwan, and the utilisation of water resources is often limited. Taiwan has been increasingly experiencing droughts and water shortages. Hence, the use of technology to efficiently and conveniently manage water resources has received increasing attention. Herein, an intelligent irrigation system for rice paddies based on the Internet of Things was developed that combines monitoring, automatic control and cloud-based systems to optimise the efficiency and reduce the workload the farmers and perform remote or automated irrigation operations to improve irrigation efficiency. The systems are particularly useful in the regions of Taiwan that are facing agricultural population aging. After 4 years of field operation, the intelligent irrigation system effectively saved water when combined with appropriate irrigation strategies. The water-saving rates in the dry and wet seasons were ∼2.9–6.5% and 8.8–19.3%, respectively and the yield and other agronomic traits remained unaffected.
逐年被引趋势
关键指标
同类平均 = 1
同领域 · 同年份 · 同类型
Google Scholar 与 OpenAlex 的被引统计范围不同,数值存在差异属正常。
AI 辅助阅读
依据:摘要
可就本文提问;依据不足时会说明。
学术脉络
学科主题
生物医学Irrigation Practices and Water Management
Smart Agriculture and AI · Rice Cultivation and Yield Improvement
参考文献 31
此处列出前 3 条
引用本文 40
按被引量排序,此处列出前 3 条