Environmental Monitoring System using IoT, AI and ML

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• Session 1

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• Artificial Intelligence has long been in
  existence, and it finds myriads of uses across
  the different business sectors. Coming to some of
  its unconventional methods, then AI finds
  application in environmental monitoring. Yes, we
  all know that AI, ML or IoT have increased their
  presence in our life in different ways, but only
  a few of us understand how dramatically these
  technologies have brought in the paradigm change.
  In recent years, we have seen companies realizing
  the growing importance of artificial intelligence
  training and machine learning training. The aim
  of these technologies is to enhance the
  functioning of the system and make them work more
  like a human. Well, it requires the expertise of
  expertise, and so we have a higher demand for
  artificial intelligence experts and ML experts.
  But, in this blog, we are going to highlight how
  IoT, ML and AI are making an impact on
  environmental monitoring.

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Let's explore the importance of AI, ML and IoT in
environmental monitoring

• IoT can prove helpful in monitoring the
  environment by managing the energy and other
  resources that are being contaminated every day.
  If we go by the conventional methods of
  monitoring the methods, samples are collected,
  then analyzed analytically. There are two ways to
  collect and track this data. One if the manual
  process which is time taking and there is a
  higher probability of error. The second method is
  instrumental, wherein tools and software are used
  to assess the collected data and then come up
  with a result. If we compare the two methods, we
  can claim that instrumental methods are faster
  and also less prone to error.
• When we talk about the IoT monitoring
  environment, then we are talking about waste
  management, weather conditions, resources,
  pollution level etc.

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Why do we need IoT?

• A lot has been done in this domain. One such
  example is that of an air quality system that
  records the particulate matter or PM. This
  system categorizes PM into PM10, PM 2.5, and PM
  1. When the particulate matter goes into the
  lungs, it can cause some severe health issues,
  hence keeping a check on the same plays an
  integral role. Standards are being implemented to
  monitor this and check on the factors that can
  impact the same.The next question that pops up is
  why do we need IoT for this and how it is going
  to create a difference. If we dig deeper into
  environmental monitoring, then it is way more
  profound than what we know. It requires the study
  of complex data that will highlight the critical
  factors impacting the environment and is there
  any set pattern of increased or decreased impact.
  While this can be studied using conventional
  methods, what we need is a deeper understanding
  of the same. To make the process flawless and
  faster, we need advanced systems like AI, ML and
  iot training.

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Sensors are being used to assess the environment
these are

• 1. Proximity sensors
• 2. Temperature sensors
• 3. Water quality sensors that keep a check on
  BOD, COD, pH and other microbial contaminants.
• 4. Gas sensors which assess the quality of air
• 5. Smoke sensors which are used for checking the
  industrial and environmental conditions in the
  more prone areas

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How IoT and AI can prove helpful?

• Pollution is one of the reasons that impact the
  productivity of the soil. Intensive use of
  pesticides does impact the environment. Thousands
  of people die every year because of the
  chemicals, and pesticides that are being used
  while farming. Implementation of AI and IoT for
  environmental sustainability includes methods
  like monitoring the crops, soil and crop
  production with low impact on the environment.
  With the help of these technologies we can aim to
  have safe agricultural methods which are going to
  increase productivity. For those smart monitoring
  devices and sensors can be attached to the crops
  to monitor their growth continuously. With the
  help of these sensors, we can assess the
  hydration needs of the plant, nutritional needs
  and based on it, healthier and safer agricultural
  methods can be adopted.

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• Another aspect of using AI and IoT is by
  protecting the species. We have vast
  biodiversity. And there are various species which
  are on the verge of extinction. With the help of
  the IoT and AI tools, we can study the different
  patterns in animals like feeding habits,
  migration and mating. It helps in keeping a track
  on animals without disrupting their normal life.
  A US-based company is using computer vision to
  detect the footprints of cheetahs, rhinos and
  other endangered species to know what is
  impacting their life or putting them in danger.
• These are the few of the examples of the
  companies that are using AI, IoT and Ml in the
  field of environmental monitoring.

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Conclusion

• In the times to come, we are going to see greater
  use of these technologies. Hence, a rise in the
  demand for professionals in this field is going
  to rise. Opting for IoT training or artificial
  intelligent training or Machine Learning training
  is going to pave the way for a brighter future.
• Global Tech Council is here to bring the changes
  and help you escalate the growth in your career
  by offering the right learning platform for AI,
  ML and IoT. To explore more connect with Global
  Tech Council today.

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