Environmental Toolkit for an Ecological Area

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LoRaWAN IoT system with the Arduino MKR WAN 1300, that help my community to monitor the air quality and water from an ecological area


I live on the shores of a big city, and there're still ecological reserves with natural lakes. It's a spectacle to still see migrating birds of all species every winter. However, there is a big effort for those who clean up these places. For example, people periodically organize to collect trash, prune green areas, and clean the lakes of water lilies and PET bottles.

Air pollution has a number of negative impacts on the environment, including damage to human health and natural ecosystems. The World Economic Forum has stated that air pollution is the ‘deadliest form of pollution,’ while the World Health Organization claims that in 2016 over 92% of the world’s population reside in places where air pollution exceeds health and safety limits. Despite these unbelievable facts, some countries - like the UK, US, Australia and New Zealand - are seeing a decrease in the amount of air pollution. Although urban green spaces are not solely responsible, it’s undeniable that these areas have contributed to the overall decline.


I have developed an intelligent system for monitoring the ecological reserve through sensors, data transmission, data storage and analysis through to: Communication between LoRaWAN MKR WAN 1300 Arduino, Arduino NANO 33 IoT, and ThingSpeak Provider


  1. I collected data with sensors such as: Humidity, temperature, Carbon Monoxide, Carbon Dioxide, Volatile Organic Compound (TVOC), Smoke, water level, etc;
  2. I selected and pre-program the time intervals when the system is monitored, and then it went into low consumption for energy saving;
  3. I used Connection via RF through Carrier frequency Lora (433/868/915 MHz)
  4. Reading the captured data and so activate alarms to be seen on an LCD screen or on a Laptop or a PC
  5. Future plans is related to developing a version with artificial intelligence. This second version is currently in the testing stage.


  1. Below the link of the publication in Hackaday:
  2. The same project in element14:
  3. I also have a link to the publication in a digital magazine (in Spanish):



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  • Name:
    Guillermo Perez
  • Type of entry:
  • Software used for this entry:
    Arduino IDE
  • Patent status: