用AI让植物“说话”，实时提醒健康状况
Enhancing IoT based Plant Health Monitoring through Advanced Human Plant Interaction using Large Language Models and Mobile Applications
- 通过土壤传感器+大模型将数据转为自然语言反馈
- 基于Gemini API实现植物状态的实时语义化表达
- 适合关注智能种植与人机互动的用户
本文提出一种新型植物通信应用，利用土壤传感器实时监测水分、温度和养分水平，将数据输入Gemini API，经由人工智能语言模型处理后生成关于植物健康与“情绪”的自然语言洞察。系统基于Flutter、Firebase和ThingSpeak开发，支持实时交互体验。该方案增强植物护理实践，推动可持续发展，并在个人及农业场景中拓展了AI与物联网技术的创新应用。论文探讨了技术架构、系统集成及人工智能驱动植物通信的广泛影响。
原文摘要 · Abstract (English)
This paper presents the development of a novel plant communication application that allows plants to "talk" to humans using real-time sensor data and AI-powered language models. Utilizing soil sensors that track moisture, temperature, and nutrient levels, the system feeds this data into the Gemini API, where it is processed and transformed into natural language insights about the plant's health and "mood." Developed using Flutter, Firebase, and ThingSpeak, the app offers a seamless user experience with real-time interaction capabilities. By fostering human-plant connectivity, this system enhances plant care practices, promotes sustainability, and introduces innovative applications for AI and IoT technologies in both personal and agricultural contexts. The paper explores the technical architecture, system integration, and broader implications of AI-driven plant communication.
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