Wireless iot sensors with AI integration for greenhouse climate management
AI-integrated wireless sensor and IoT platform for sustainable greenhouse production of fruits and vegetables. Combines WiFi and LoRa-based sensor nodes with crop growth models and knowledge-based decision support systems to optimize climate control, reduce energy inputs, and improve yield predictability for commercial greenhouse operations.
Overview
This solution offers an integrated wireless sensing and IoT platform designed for sustainable greenhouse production of fruits and vegetables. By combining affordable, robust wireless sensor nodes with artificial intelligence algorithms and knowledge-based decision support systems, the platform enables flexible climate management that reduces energy consumption while improving yield predictability. The system addresses the need for proper integration of existing climate control systems with modern IoT infrastructure, allowing growers to make data-driven decisions based on real-time environmental measurements collected from multiple points throughout the greenhouse.
Technical specifications
- Wireless sensor nodes built on a dual-core 32-bit microcontroller with LoRa modulation at 868 MHz for long-range, low-power communication
- WiFi-enabled sensor nodes for high-bandwidth data transmission in areas with existing network infrastructure
- Measurement capabilities including air temperature, light intensity, and additional environmental parameters across distributed greenhouse locations
- Embedded AI deployment on CPUs and GPUs at the edge, as well as cloud-based streaming systems for centralized analytics
- Crop model integration with reduced state-variable models such as TOMGRO for tomato yield estimation, with parameter robustness evaluation using real sensor data
- Connection stability and reliability validated through commercial and research greenhouse experiments
- Distributed architecture allowing deployment of multiple sensors in different greenhouse zones for comprehensive environmental monitoring
Technology readiness level
The platform has been validated through sample experiments at both lab-scale and commercial-scale greenhouses, demonstrating connection stability, robustness, and reliability of the IoT hardware and software. Wireless sensor nodes have been deployed in multiple greenhouse environments to collect air temperature and light data, which has been used to evaluate parameter robustness of crop growth models for yield estimation. The technology is ready for further pilot deployments and field validation in commercial greenhouse operations targeting reduced energy inputs and improved yield forecasting.
About AREEO
AREEO is Iran’s national agricultural research, education, and extension organization, coordinating a comprehensive country‑wide system of institutes, provincial research and education centers, and field stations. Co‑located experimental farms and research stations enable rapid field validation and scale‑up, while an extensive extension network connects results directly to producers and agri‑industry. For commercialization, AREEO operates research incubation centers and supports knowledge‑based enterprises that engage with private partners. Research is primarily supported by national government programs through the Ministry of Agriculture Jihad, with additional competitive funding and international collaborations.
Inquire about this partnering listing
Looking for
Industry applications
delivered to your inbox.