Monitoring solutions for smart greenhouse system

Smart greenhouse monitoring: how does it work?

Smart greenhouse monitoring leverages advanced technologies like sensors and controllers to automate and optimize greenhouse operations. Sensors play a crucial role in collecting real-time data on various environmental parameters, such as temperature, humidity, light levels, and soil moisture. This data is then transmitted to a central controller that analyzes the information and makes decisions to maintain optimal growing conditions.


With greenhouse automation, the controller can automatically adjust systems like heating, ventilation, and irrigation based on the sensor data. For instance, if the sensors detect a drop in temperature, the controller can activate heaters, or if soil moisture levels fall below a certain threshold, the irrigation system can be triggered.
This integration of smart greenhouse technology ensures that crops receive the ideal conditions for growth, improving yield quality and reducing the need for manual intervention. By continuously monitoring and adjusting the environment, smart greenhouses enable farmers to achieve more consistent and efficient production.

Temperature and humidity monitoring in smart greenhouses

Maintaining the right temperature and humidity levels is essential for optimizing the greenhouse environment and promoting healthy plant growth. In smart greenhouses, a control system equipped with IoT-enabled sensors continuously monitors these critical parameters. These sensors collect real-time data on temperature, humidity, and even carbon dioxide levels, providing a comprehensive view of the greenhouse’s internal conditions.


The data is then analyzed by the control system, which can make instant adjustments to maintain ideal growing conditions. For example, if the temperature rises too high, the system might activate cooling mechanisms or adjust ventilation to restore balance. Similarly, if humidity drops below the desired level, misting systems can be automatically triggered.


Remote monitoring further enhances this process by allowing greenhouse operators to access real-time data and control systems from anywhere. This capability ensures that any deviations from optimal conditions can be quickly addressed, minimizing the risk of stress to plants and maximizing productivity. By integrating these technologies, smart greenhouses create a stable environment that supports robust plant growth and efficient resource use.

Greenhouse environment monitoring

Top hardware and software for greenhouses

Optimizing greenhouse operations requires a combination of advanced hardware and software, all designed to create a controlled environment for plant growth. One of the key components is cooling systems, which are essential for maintaining the ideal temperature within the greenhouse. These systems, often integrated with automation software, can automatically adjust cooling levels based on real-time data from sensors that monitor temperature and humidity.
In addition to cooling, lighting control systems play a crucial role in ensuring that plants receive the right amount of light at the right times. These systems, also driven by sensor data, can be adjusted to simulate natural daylight cycles or provide supplemental lighting as needed, all controlled remotely through Internet of things (IoT) technology.


Remote monitoring and control is a critical feature of modern greenhouses, enabling operators to manage and adjust all systems from anywhere with an internet connection. This includes not only cooling and lighting but also irrigation, ventilation, and nutrient delivery systems, all of which can be fine-tuned through IoT-enabled automation software.


Together, these hardware and software solutions work in concert to create an optimized, responsive environment that supports healthy plant growth, increases efficiency, and reduces the need for manual intervention. By using sensors and IoT technology, greenhouses can achieve a level of precision and control that was previously unattainable, leading to higher yields and better resource management.

Smart greenhouse providers

Here are some examples of companies that excel in greenhouse automation using IoT, employing advanced technologies to optimize agricultural operations:

  • Priva provides a comprehensive suite of cloud-based greenhouse solutions that enable IoT remote monitoring and automated control of key environmental factors like climate, water, lighting, and energy. Their smart greenhouse automation system allows operators to maintain optimal growing conditions through real-time monitoring and remote access, ensuring that plants receive the necessary care from anywhere at any time​.
  • Argus Control Systems Ltd. Specializing in automated control systems, Argus offers solutions tailored to the specific needs of greenhouse environments, focusing on environmental control, irrigation and fertilization. Their technology allows for precise adjustments to ventilation systems and other critical factors, making it easier for greenhouse operators to manage varying crop requirements​.
  • Heliospectra AB. Known for their expertise in artificial lighting, Heliospectra’s software integrates with IoT devices to optimize light intensity and spectrum. This integration ensures that lighting is adjusted based on real-time monitoring, enhancing both crop growth and energy efficiency in smart greenhouse environments.
  • Kubo Greenhouse Projects B.V. is recognized for its innovative “Ultra-Clima” concept, a smart greenhouse automation system that integrates ventilation systems, climate control, and resource management. Their software is designed to create a highly efficient growing environment by optimizing the use of energy and resources through IoT-driven solutions​.
  • Netafim. A leader in precision irrigation, Netafim offers software that integrates with greenhouse management systems to optimize water usage. Their solutions leverage IoT remote monitoring to enhance irrigation efficiency, ensuring precise water delivery through automated systems based on real-time data.

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