Reader Response Summary Draft #1


In the article “How Artificial Intelligence, Robots Enhance Forest Sustainability in Finland”, McQueen (2019) showcased Finnish Forest Centre’s implementation of advanced technologies in enhancing forest sustainability. 
Finland is covered in forests to the tune of 75%, and data can be acquired using "aerial and lidar imagery technologies." With the advent of artificial intelligence, forest management is being simplified, which further maximises the trees' sequestration of carbon, while filling up jobs in forestry.

McQueen describes how the Finns adopted environmental regulations to balance economic progress and forest preservation. The regulations prohibit practices like draining bogs and herbicide use. Under this legislation, landowners are encouraged to be active in the care of their property while the center provides recommendations.

Additionally, one of the benefits of having an intelligence assistant provides forest owners with an online marketplace to engage with professionals, utilizing data in the geographic information system where it is gathered by laser scanning, aerial photography, sample plot measurements, and site visits.
In conclusion, McQueen concluded that artificial intelligence can assist in obtaining more accurate data. The combined information can enable more precise measurements of forests and a better forecast of forest inventory. Furthermore, enhanced logistics and supply networks are included.

McQueen has shown that society can influence changes in forestry legislation and find new strategies to maximize tree carbon sequestration.

With the advent of unique and advanced artificial intelligence, forest management is being simplified. The implementation of artificial intelligence has minimized the amount of fieldwork, whilst obtaining accurate data. The same measures that would require in-person measurement are being extracted using machine learning algorithms.

In another excerpt, Chen (2020) outlines how artificial intelligence incorporates algorithms are employed to automate forestry. The robot whirl through fields extracting data about crops, counting fruit on trees, and supplying accurate statistics to growers.

According to Bakker (2019), In addition to assisting with measurements, artificial intelligence is employed to detect legal and illegal (counterfeit) deforestation at an early stage, for example, this insight can be used to facilitate prevention or stop infected trees from spreading.

Furthermore, in addition to utilizing artificial intelligence algorithms tailored to trees and vegetation, AI can provide real-time data about growth risks based on species, growth, weather, and climate.
While technological advancements have proven to be helpful in many fields such as forestry, there still exists a slim possibility that the robots could malfunction, despite the high success rate of these advancements. Research indicates that there might be various factors contributing to artificial intelligence malfunctioning. According to Taipei times(2021), one reason might be a technical error in the control system.

Ultimately, I agree that the adoption of AI-technology deployment is critical towards sustainability and the process of forestry simplification management. Automated decision making and predictive analytics through artificial intelligence, in combination with rapid progress in technologies such as lidar, aerial technology, and robotics, simplifies forest management, whilst obtaining accurate data. AI can also help by providing real-time data about growth risks based on species, growth, weather, and climate. 
In my opinion, I believe through the deployment of artificial intelligence, forestry maintenance work will be executed more effectively, swiftly, and efficiently.


Citations:

Lopez, I. (2020, October 13). Treeswift's autonomous robots take flight to save forests. Phys.org. Retrieved February 13, 2022, from https://phys.org/news/2020-10-treeswift-autonomous-robots-flight-forests.html#:~:text=Chen%20founded%20Treeswift%20as%20a,%2C%20inventory%2C%20and%20map%20timberland. 

Author, G. (2019, June 11). Detecting forest threats with Artificial Intelligence. AZO Space of Innovation. Retrieved February 13, 2022, from https://space-of-innovation.com/detecting-forest-threats-with-ai/ 

Parisa, Z., & Nova, M. (2021, June 24). This AI can see the forest and the trees. IEEE Spectrum. Retrieved February 13, 2022, from https://spectrum.ieee.org/this-ai-can-see-the-forest-and-the-trees 

Military drone crashes in Park; no injuries reported. Taipei Times. (2021, February 19). Retrieved February 13, 2022, from https://www.taipeitimes.com/News/taiwan/archives/2021/02/20/2003752557 

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