Summary Reader Response Draft #4

 

In the article “How Artificial Intelligence, Robots Enhance Forest Sustainability in Finland”, McQueen (2019) showcased the 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 mapping technology in conjunction with light detection and ranging technology. With the advent of Artificial Intelligence (AI), forest management is being simplified, which further maximizes the trees' sequestration of carbon, while filling up jobs in forestry.

 

McQueen described 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.

 

One of the benefits of having an intelligence assistant is that data can be gathered by various methods such as laser scanning, aerial photography, sample plot measurements, and site visits. Forest owners will then be able to retrieve the relevant data through an online geographic data collation platform in which the data is published to.

 

McQueen has concluded that AI could 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. In addition to discussing the use of these technologies in forests, McQueen has stated that with insights generated by AI, society can influence changes in forestry legislation and find new strategies to maximize tree carbon sequestration.

 

In my opinion, AI has proven useful in the pursuit for enhancing forest sustainability through the incorporation of algorithms, precise measurements, and providing real-time data of the daily forestry movement.

 

AI has proven to be an essential tool to forest users through the incorporation of algorithms in the robots. In the AI technologies world, algorithms are used for calculation, data processing and automation. This process has been known to many prospective clients where automation reduces manual efforts and the associated cost of the procedure while yielding precise results. According to Chen (2020), Artificial intelligence incorporates algorithms to automate the process of data gathering which has proven to be effective towards the sustainability of the forest.  This process utilizes robots which will whirl through the fields while extracting data about crops, fruit supply on trees, and supplying accurate statistics to growers.

 

In addition to providing benefits for automation, artificial intelligence also provides accurate data measurements to various growers.

 

With the advent of AI integrated with algorithms, the process of forest management has been simplified through minimizing the amount of fieldwork time, whilst still obtaining accurate results.  Such tasks that AI have been able to supersede the process of are forestry monitoring, measurement, reporting, and verification, such as pest infestations, forest degradation, deforestation, and forest restoration. For example, the same measures that would require in-person measurement are being extracted using machine learning algorithms. According to Bakker (2019), in addition to assisting with measurements, artificial intelligence is employed to descry deforestation at an early stage, for example, this insight can be used to facilitate prevention or curtail the outbreak of infectious trees. *

 

Furthermore, as AI works closely towards machine learning algorithms, it provides real-time data to its owners based on their tailored needs and understanding of how their land of trees is doing based on its health. This aids their owners by providing insights for making better decisions quickly. According to Pachama (2021) harnessing satellite imagery and artificial intelligence to measure and monitor carbon capture in forests. The implementation of AI not only streamlines the process, saves time, and reduces manual efforts, but it also reduces the cost of the procedure while yielding precise results. The reduction in the cost of measuring a forest’s carbon storage allows a greater share of the money spent on carbon offsets to reach landowners. People and businesses who buy carbon offsets can be more confident that their money is being spent on effective carbon removal technologies as the precision of those data improves.

 

While technological advancements have proven to be helpful in many fields such as forestry, there is a slim possibility that the robots could malfunction, despite the high success rate of these advancements and their benefits. Research indicates that there are various factors contributing to artificial intelligence malfunctioning where one reason might be a technical error in the control system (Taipei Times,2021).

 

Ultimately, I agree that the implementation of AI-technology has a crucial and positive impact on the management of forestry sustainability. Automated decision making and predictive analytics through artificial intelligence, in combination with rapid progress in technologies such as lidar, aerial technology, and robotics, simplifies forestry management, whilst obtaining accurate data. With the added benefits that the implementation of AI provides such as harnessing data, and gaining insights into real-time analytical data and prediction, I believe it would lead to a positive impact overall in terms of sustainable forest management.

 

References:


Detecting forest threats with Artificial Intelligence. (2019, June 11). Space of Innovation.

https://space-of-innovation.com/detecting-forest-threats-with-ai/ 

 

Lopez. (2020, October 13). Treeswift's autonomous robots take flight to save forests. Phys.org.     

https://phys.org/news/2020-10-treeswift-autonomous-robots-flight-forests.html#:~:text=Chen%20founded%20Treeswift%20as%20a,%2C%20inventory%2C%20and%20map%20timberland. 

 

Military drone crashes in Park; no injuries reported. (2021, February 19). Taipei Times.

https://www.taipeitimes.com/News/taiwan/archives/2021/02/20/2003752557 

 

Pachama. (2021, March 11). Pachama recognized as the world’s most innovative AI company of 2021 in fast company’s annual list. GlobeNewswire.         

https://www.globenewswire.com/news-release/2021/03/11/2191352/0/en/Pachama-Recognized-as-the-World-s-Most-Innovative-AI-Company-of-2021-in-Fast-Company-s-Annual-List.html

 

(Parisa & Nova, 2021). This AI can see the forest and the trees.     

 https://spectrum.ieee.org/this-ai-can-see-the-forest-and-the-trees 

 

 

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