Welcome to Scholar Publishing Group

Nature Environmental Protection, 2022, 3(4); doi: 10.38007/NEP.2022.030403.

Environmental Technologies for Nature Conservation Incorporating Artificial Intelligence

Author(s)

Yi Jiang

Corresponding Author:
Yi Jiang
Affiliation(s)

National Land Surveying and Mapping Institute, Shandong, China

Abstract

Nature reserve management requires the processing and analysis of large amounts of information and map data, so artificial intelligence meets the practical needs of nature reserve management. The aim of this paper is to study artificial intelligence-based technologies for nature conservation environments. In order to solve the outstanding problems in the environmental management of the M Mountain Nature Reserve, an environmental management information system for the M Mountain Nature Reserve was designed through feasibility and requirement analysis. Based on the large amount of images and measurements collected, the visualstudio 2008 development tool was used to classify the wetland system of M Mountain Nature Reserve using the arcGIS mechanism as the development platform and making full use of the functions of GIS components. The results show that the M Mountain Nature Reserve is extremely rich in wetland types, with marshes being the main wetland type in the area, accounting for 95% of the total wetland area. Based on the full consideration of the natural environment of M Mountain Nature Reserve, it provides a basis for the development of wetland environmental protection in M Mountain Nature Reserve.

Keywords

Artificial Intelligence, Conservation of the Environment, Nature Reserves, Wetland Classification

Cite This Paper

Yi Jiang. Environmental Technologies for Nature Conservation Incorporating Artificial Intelligence. Nature Environmental Protection (2022), Vol. 3, Issue 4: 23-31. https://doi.org/10.38007/NEP.2022.030403.

References

[1] Tobias Ehlers, Martin Portier, Doreen Thoma. Automation of Maritime Shipping for more Safety and Environmental Protection. Autom. (2022) 70(5): 406-410. https://doi.org/10.1515/auto-2 022-0003

[2] Eleni S Adamidi, Evangelos N Gazis, Konstantina S Nikita. A Safety System for Human Radiation Protection and Guidance in Extreme Environmental Conditions. IEEE Syst. J. (2020) 14(1): 1384-1394. https://doi.org/10.1109/JSYST.2019.2920135

[3] Marina Malamud. Environmental Ethics in the Military: Between Warfare and Ecosystem Protection. Int. J. Technoethics. (2018) 9(2): 51-61. https://doi.org/10.4018/IJT.2018070105

[4] Varun Mishra, Florian Künzler, Jan-Niklas Kramer, Elgar Fleisch, Tobias Kowatsch, David Kotz. Detecting Receptivity for mHealth Interventions in the Natural Environment. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. (2021) 5(2): 74:1-74:24. https://doi.org/10.1145/ 3463492

[5] Laura Amo, Ruochen Liao, Rajiv Kishore, Hejamadi Raghav Rao. Effects of Structural and Trait Competitiveness Stimulated by Points and Leaderboards on User Engagement and Performance Growth: A Natural Experiment with Gamification in An Informal Learning Environment. Eur. J. Inf. Syst. (2020) 29(6): 704-730. https://doi.org/10.1080/0960085X.2020. 1808540

[6] Yuta Yaguchi, Kenji Takeuchi, Tadashi Waragai, Toshitake Tateno. Durability Evaluation of An Additive Manufactured Biodegradable Composite with Continuous Natural Fiber in Various Conditions Reproducing Usage Environment. Int. J. Autom. Technol. (2020) 14(6): 959-965. https://doi.org/10.20965/ijat.2020.p0959

[7] Ali Akbari, Roger Solis Castilla, Roozbeh Jafari, Bobak J Mortazavi. Using Intelligent Personal Annotations to Improve Human Activity Recognition for Movements in Natural Environments. IEEE J. Biomed. Health Informatics. (2020) 24(9): 2639-2650. https://doi.org/10.1109/JBHI.202 0.2966151

[8] Gábor Kovács, Yasuharu Kunii, Takao Maeda, Hideki Hashimoto. Saliency and Spatial Information-Based Landmark Selection for Mobile Robot Navigation in Natural Environments. Adv. Robotics. (2019) 33(10): 520-535. https://doi.org/10.1080/01691864.2019.1602564

[9] Alice Chirico, Andrea Gaggioli. When Virtual Feels Real: Comparing Emotional Responses and Presence in Virtual and Natural Environments. Cyberpsychology Behav. Soc. Netw. (2019) 22(3): 220-226. https://doi.org/10.1089/cyber.2018.0393

[10] Dina Kanaan, Suzan Ayas, Birsen Donmez, Martina Risteska, Joyita Chakraborty. Using Naturalistic Vehicle-Based Data to Predict Distraction and Environmental Demand. Int. J. Mob. Hum. Comput. Interact. (2019) 11(3): 59-70. https://doi.org/10.4018/IJMHCI.2019070104

[11] George Margetis, Stavroula Ntoa, Margherita Antona, Constantine Stephanidis. Augmenting Natural Interaction with Physical Paper in Ambient Intelligence Environments. Multim. Tools Appl. (2019) 78(10): 13387-13433. https://doi.org/10.1007/s11042-018-7088-9

[12] Georgi Tinchev, Adrián Peñate Sánchez, Maurice F Fallon. Learning to See the Wood for the Trees: Deep Laser Localization in Urban and Natural Environments on A CPU. IEEE Robotics Autom. Lett. (2019) 4(2): 1327-1334. https://doi.org/10.1109/LRA.2019.2895264

[13] Daniel Bekele Wakeyo, Ajit Pal Singh, Muralidhar Avvari. Influence of Abattoir Waste Management Practices on Natural Environment Conservation. Int. J. Syst. Assur. Eng. Manag. (2019) 10(5): 1010-1022. https://doi.org/10.1007/s13198-019-00830-9

[14] Jose Mekha, V Parthasarathy. An Automated Pest Identification and Classification in Crops Using Artificial Intelligence - A State-of-Art-Review. Autom. Control. Comput. Sci. (2022) 56(3): 283-290. https://doi.org/10.3103/S0146411622030038

[15] Pablo Negro, Claudia Pons. Artificial Intelligence Techniques Based on The Integration of Symbolic Logic and Deep Neural Networks: A Systematic Review of the Literature. Inteligencia Artif. (2022) 25(69): 13-41. https://doi.org/10.4114/intartif.vol25iss69pp13-41

[16] Elizabeth Black, Martim Brandão, Oana Cocarascu, Bart de Keijzer, Yali Du, Derek Long, Michael Luck, Peter McBurney, Albert Meroño-Peñuela, Simon Miles, Sanjay Modgil, Luc Moreau, Maria Polukarov, Odinaldo Rodrigues, Carmine Ventre. Reasoning and Interaction for Social Artificial Intelligence. AI Commun. (2022) 35(4): 309-325. https://doi.org/10.3233/AIC-2 20133

[17] Ayesha Bhimdiwala, Rebecca Colina Neri, Louis M. Gomez. Advancing the Design and Implementation of Artificial Intelligence in Education through Continuous Improvement. Int. J. Artif. Intell. Educ. (2022) 32(3): 756-782. https://doi.org/10.1007/s40593-021-00278-8

[18] Irene-Angelica Chounta, Emanuele Bardone, Aet Raudsep, Margus Pedaste. Exploring Teachers' Perceptions of Artificial Intelligence as A Tool to Support their Practice in Estonian K-12 Education. Int. J. Artif. Intell. Educ. (2022) 32(3): 725-755. https://doi.org/10.1007/ s40593-021 -00243-5