Joshua's Blog

10 weeks ago, back in my letter of introduction, I mentioned two goals that I have set for myself. Firstly, it was to improve on my weakness, which is conveying my thoughts into words. Secondly, it was to make formal writing a second nature. One of the key points of effective communication is to be able to send out your point clearly, fluently, and efficiently, so there will be no miscommunications or misunderstandings. Hence, these were my goals for this course. Looking back at these goals now that the module has ended, there is still room for improvement. However, I can confidently say that I’ve achieved these objectives to a large extent. One of the main contributors to these achievements would be “Dewey’s Model of Reflective Thought and Action”. Reflection isn’t a new concept to me, but when I encountered this model, I realized that reflection is a much more intricate process. The model breaks up reflection into 5 different steps. The first is being aware of an issue. The second is

In the article "How Artificial Intelligence, Robots Enhance Forest Sustainability in Finland", McQueen (2019) states that the Finnish Forest Centre is in charge of overseeing the conservation of Finland's forests and hence came up with an ambitious solution to use robots to autonomously execute most of the forest conservation tasks. McQueen mentions that the data used has to be precise and attainable before the Finnish Forest Centre can use it to train the robots. Aerial and lidar imagery is used to construct forest inventories and record tree measurements and information on species. The data the robots need is then placed in a geographic information system (GIS). The development director of the Finnish Forest Centre, Hamalainen, and his team see robots bringing benefits. People owning more than 65% of Finland’s forests can have simpler and more proactive management of their forests. McQueen reports that the Finnish Forest Centre is also using Artificial intelligence (AI)

In the article "How Artificial Intelligence, Robots Enhance Forest Sustainability in Finland", McQueen (2019) states that the Finnish Forest Centre is in charge of overseeing the conservation of Finland's forests and hence came up with an ambitious solution to use robots to autonomously execute most of the forest conservation tasks. McQueen mentions that the data used has to be precise and attainable before the Finnish Forest Centre can train the robots. They use aerial and lidar imagery to construct forest inventories and record tree measurements and information on species. The data the robots need is then placed in a geographic information system (GIS). The development director of the Finnish Forest Centre, Hamalainen, and his team see robots bringing benefits. People owning more than 65% of Finland’s forests can have simpler and more proactive management of their forests. To produce precise data and decrease the amount of work in the field, McQueen reports that the Fin

According to the article "How Artificial Intelligence, Robots Enhance Forest Sustainability in Finland", McQueen (2019) states that the Finnish Forest Centre is in charge of overseeing the conservation of Finland's forests and hence came up with an ambitious solution to use robots to autonomously execute most of the forest conservation tasks.  McQueen mentions that the data used has to be precise and attainable before the Finnish Forest Centre can train the robots. They use aerial and lidar imagery to construct forest inventories and record tree measurements and information on species. The data the robots need is then placed in a geographic information system (GIS).  The development director of the Finnish Forest Centre, Hamalainen, and his team see robots bringing benefits. People owning more than 65% of Finland’s forests can have simpler and more proactive management of their forests. To produce precise data and decrease the amount of work in the field, McQueen reports

  According to the article "How Artificial Intelligence, Robots Enhance Forest Sustainability in Finland", McQueen (2019) states that the Finnish Forest Centre is in charge of overseeing the conservation of Finland's forests and hence came up with an ambitious solution to use robots to autonomously execute most of the forest conservation tasks.  McQueen mentions that the data used has to be precise and attainable before the Finnish Forest Centre can train the robots. They use aerial and lidar imagery to construct forest inventories and record tree measurements and information on species. The data the robots need is then placed in a geographic information system (GIS).  The development director of the Finnish Forest Centre, Hamalainen, and his team see robots bringing benefits. People owning more than 65% of Finland’s forests can have simpler and more proactive management of their forests. To produce precise data and decrease the amount of work in the field, McQueen report

According to the article "How Artificial Intelligence, Robots Enhance Forest Sustainability in Finland", McQueen (2019) states that the Finnish Forest Centre is in charge of overseeing the conservation of Finland's forests and hence came up with an ambitious solution to use robots to autonomously execute most of the forest conservation tasks.  McQueen mentions that the data used has to be precise and attainable before the Finnish Forest Centre can train the robots. They use aerial and lidar imagery to construct forest inventories, record tree measurements, and species information. The data the robots need is then placed in a geographic information system (GIS).  The development director of the Finnish Forest Centre, Hamalainen, and his team see robots bringing benefits. People owning more than 65% of Finland’s forests can have simpler and more proactive management of their forests. To produce precise data and decrease the amount of work in the field, McQueen reports that