The “internet of things” includes many applications such as wearable technology, connecting devices to the internet or home automation systems. In addition, the “internet of objects” applications and iot environment monitoring processes are highly compatible. Therefore, it has become easier to perform environmental monitoring automatically such as safe and instant monitoring of environmental parameters. The role of IoT in environmental protection will become more and more important.

Typical Applications of IoT Environment Monitoring

IoT Environment Monitoring
IoT Environment Monitoring

The concept of “environment” is quite broad. Within the scope of the Internet of Things concept, it is possible to see control applications in IoT companies in many areas from flood warnings to air quality control.

  • Monitoring of water levels
  • Air pollutant concentrations indoors and outdoors
  • Natural disaster monitoring
  • Drought alert
  • Monitoring the depletion of natural resources

What are the Benefits of IoT Environment Monitoring?

Internet of Things Environment Monitoring
Internet of Things Environment Monitoring

Nowadays, global climate change, air pollution problems, water scarcity and drought are the globally debated environmental crises whose effects are closely observed. Most of the efforts to overcome these crises include data collection, data analysis and future projections. IoT environment monitoring is important during data collection. For example, monitoring the water level for flood control gives us advance notice of flood risk. Air quality measurement results can be a precursor to a failure in air pollution control units or an instant messenger of a recent environmental crisis.

Continuous environmental monitoring allows instant changes to be monitored. In this way, we can collect data from natural disasters and some environmental crises as soon as possible. Accordingly, we can take measures quickly.

Water and Air Pollution Control

Environment monitoring is performed manually in laboratories. IoT reduces the need for human labor. Thanks to IoT environment monitoring applications, devices that perform instant and continuous environmental measurements on-site can connect to detection systems and share data quickly.

IoT Environment Monitoring for Extreme Weather Conditions

Extremely powerful models are used to predict extreme weather conditions, utilizing radar tracking and satellite data. However, smaller details are needed for the most accurate estimates. The accuracy of the data is reduced when it is aimed to obtain smaller details with applications such as satellite tracking.

New IoT applications promise both more detailed and highly accurate data. Regardless of the range, it aims to make an effective prediction and flexibility. Thus, it provides the earliest intervention in case of natural disasters or floods.

Use of IoT Environment Monitoring Practices in Commercial Agriculture

Environment Monitoring IoT
Environment Monitoring IoT

Nowadays, commercial agricultural enterprises use advanced technology methods for instant control of soil moisture, organic matter and fertilizer.  In commercial enterprises, automation such as monitoring the weather or controlling soil moisture is limited and human labor is needed.

IoT technologies allow more analysis and full automation in these areas. Making efficient production is much more controllable with IoT environment monitoring applications. IoT systems can detect changes in the product, soil and environment and optimize data instantly. Therefore, it is easier to be informed in advance and take action in case of environmental or health hazards.

These systems can be used not only in commercial farming but also in small-scale farms. Continuous control of fertilizer and pesticides used in export-based products in small enterprises also ensures that the products can be certified for export. Thus, small businesses that obtain certified products in a cost-effective manner gain the opportunity to grow.

Waste Management with IoT Environment Monitoringand Control Applications

Waste management is a very complex problem that needs to be solved, especially in large cities. Stages such as collection, separation, recovery and disposal of wastes from users require a good waste management process. Reuse, recycling, obtaining energy from waste and reducing costs in all these processes require advanced technology. Intelligent waste management is a good solution to address these problems in the most efficient way. For example, solutions such as environmental monitoring of the load level of trucks, intelligent waste collection containers, determination of optimal routes of garbage trucks help to improve recycling efficiency.

IoT Environment Monitoring Practices for Marine Organisms and Wildlife

Environment Monitoring and Control Application
Environment Monitoring and Control Application

Control of epidemic diseases in animal populations and monitoring of bird migration routes are made possible by IoT environment monitoring. Thanks to the Internet of objects, researchers can easily obtain instant data on similar subjects. It also facilitates the monitoring of forest fires and uncontrolled deforestation practices that threaten wildlife.

Events such as overfishing and juvenile fishing pose a significant threat to species. Some IoT applications can detect location-based fishermen by performing location-based monitoring.

Use of IoT Environment Monitoringfor Wastewater Management

IoT environment monitoring can be used to monitor water and sewage systems. Instantaneous measurement of sewer occupancy rates can be found from warnings against overflow. Sewer discharges can be controlled by instant data transfer with water level sensors.

Solutions for The Smart City Concept

Environmental changes are increasingly affecting cities and their inhabitants. The efficient use of resources is a priority for smart cities. In cities, there are studies on improving air and water quality and controlling noise. For example, in a smart city, the measurement of key parameters such as temperature, humidity and CO2 are the basic criteria for the management of air quality. IoT technologies allow continuous monitoring of key parameters such as temperature, humidity and CO2. Remote monitoring of data is an important part of administrative processes for smart cities. The Internet of Things offers new options in areas such as control of air pollution in cities, better use of infrastructure and control of city traffic.

IoT Environment Monitoring Making Big Impacts on Sustainability

Environment Monitoring and Control
Environment Monitoring and Control

The Internet of Things is a good candidate for being a technology that has a very positive impact on sustainability. IoT positively affects sustainability both directly and indirectly. Last year, the World Economic Forum (WEF) published the Internet of Things Guidelines for Sustainability. WEF 634 reviewed the implementation and said 84% of them were in line with the United Nations Sustainable Development Goals.

Future Perspective for IoT Environment Monitoring

IoT technologies have already shown positive impacts on the environment and sustainability. The use of this technology in the environmental sector is still young. However, as time passes, we will benefit more. Interconnected devices will become more user-friendly, especially with the contribution of applications such as artificial intelligence. Investments in this area are very promising. As IoT technology becomes widespread, its capacity in environmental monitoringwill improve and we will see many more structures using this technology in sustainability. We will see larger budgets and common areas of application for initiatives related to IoT technologies. IoT has the potential to make a difference and provide integrated solutions.

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Environment Monitoring & Control Application IoT Companies

Nowadays, global climate change, air pollution problems, water scarcity and drought are the globally debated environmental crises whose effects are closely observed. Most of the efforts to overcome these crises include data collection, data analysis and future projections. IoT environment monitoringis important during data collection.