Application of Precision Agriculture and IoT-Based Smart Irrigation in Greenhouse Vegetable Production
综述性论文，涵盖精准农业与IoT智能灌溉在温室蔬菜中的应用，信息较全面，但来源期刊权威性一般，且发表时间较早。
原文标题:Application of Precision Agriculture and IoT-Based Smart Irrigation in Greenhouse Vegetable Production。作者:Zeeshan Ahmed、Muhammad Taimur Maqbool Muhammad、Abbas Khan Muhammad、Zain Ul Abideen、Abdul Haq。DOI: 10.63163/jpehss.v4i1.1226。该综述综合分析了精准农业(PA)和基于物联网(IoT)的智能灌溉在温室蔬菜生产中的集成,涉及土壤湿度、EC、pH、微气候监测器等物联网传感器与数据分析(AI/ML模型)及自动执行器在番茄、黄瓜、辣椒等作物实时资源管理中的整合。关键组件包括使用ZigBee/LoRa协议的无线传感器网络、低延迟边缘/雾计算和预测算法(如LSTM、SVM),可减少20-50%用水量,同时提高10-30%产量和养分效率。来自中国、欧洲和印度的案例展示了变量灌溉(VRI)和施肥系统的实际应用,实现高达40%的能源节约和最小化淋失。
Authors
- Zeeshan Ahmed Department of Water Resources Management, Lasbela University of Agriculture, water and Marine Sciences, Uthal. [email protected] Author
- Muhammad Taimur Maqbool Department of Agronomy, University of Agriculture Faisalabad. [email protected] Author
- Muhammad Abbas Khan Department of Horticulture, Balochistan Agriculture College Quetta. [email protected] Author
- Zain Ul Abideen Department of Agronomy, Agriculture University Peshawar [email protected] Author
- Abdul Haq Agriculture Engineer at Department of Agriculture research institute Balochistan Quetta. [email protected] Author
DOI:
https://doi.org/10.63163/jpehss.v3i4.1226
Abstract
Precision agriculture (PA) and Internet of Things (IoT)-based smart irrigation represent transformative technologies for optimizing greenhouse vegetable production, addressing global challenges like population growth (projected 9.7 billion by 2050), water scarcity, and climate variability. This review synthesizes the integration of IoT sensors (soil moisture, EC, pH, microclimate monitors) with data analytics (AI/ML models) and automated actuators for real-time resource management in crops such as tomatoes, cucumbers, and peppers. Key components include wireless sensor networks (WSNs) using protocols like ZigBee/LoRa for data transmission, edge/fog computing for low-latency processing, and predictive algorithms (e.g., LSTM, SVM) that reduce water use by 20–50% while enhancing yield (10–30%) and nutrient efficiency. Case studies from China, Europe, and India demonstrate practical implementations, such as variable rate irrigation (VRI) and fertigation systems, achieving up to 40% energy savings and minimized leaching. Challenges encompass high initial costs, data security, and sensor accuracy in humid environments, with future directions emphasizing AI-driven digital twins, blockchain for traceability, and hybrid renewable energy integration for sustainable, resilient greenhouse systems.
Published
2025-12-30
Issue
Section
Biological Sciences