智能传感器在精准农业中的集成与实践

Integration and Practice of Smart Sensors in Precision Agriculture

精准农业是一种通过科学和技术手段实现农业资源高效利用的现代农业模式,与传统传感器不同,智能传感器除了具备基本的信号采集功能外,还集成了信号处理和数据分析能力,可以实现对环境或设备的实时监控和智能响应。该文通过分析不同智能传感器的特点,分析其在作物生长监测、土壤湿度和营养成分检测、病虫害预警,以及环境条件监测等方面的应用原理及优势,并讨论传感器集成过程中存在的数据融合、传感器校准、抗干扰等技术难题,提出解决方案和优化策略。研究表明,智能传感器的集成应用能够提高农业生产的精确性和资源利用率,推动农业生产的智能化发展,对未来的农业数字化和智能决策具有重要意义。

Precision agriculture is a modern agricultural model to achieve efficient use of agricultural resources through scientific and technological means.Unlike traditional sensors,smart sensors,in addition to the basic signal acquisition function,also integrate signal processing and data analysis capabilities,which can achieve real-time monitoring and intelligent response to the environment or equipment.In this paper,we analyse the characteristics of different smart sensors,analyse their application principles and advantages in crop growth monitoring,soil moisture and nutrient detection,pest and disease early warning,as well as monitoring of environmental conditions,etc.,and discuss the data fusion,sensor calibration,anti-jamming and other technical difficulties in the process of sensor integration,and propose solutions and optimization strategies.The study shows that the integrated application of smart sensors can improve the accuracy and resource utilisation of agricultural production,promote the intelligent development of agricultural production,and is of great significance for future agricultural digitalisation and intelligent decision-making.