With the emergence of environmental pollution problems and advances in science and technology, natural resources and ecosystem functions that are not usually considered valuable are now of increasing importance for economic development and the improvement and enhancement of the human living environment. The purpose of this paper is to study the ecological strategy of rural nature protection environment based on information system. The main function of designing rural environmental information system is the object of study, and the geographic information system technology, computer technology, database technology and professional software ArcEngine are discussed and studied, and the function of rural environmental information system is designed by combining the characteristics of M rural. Through the establishment of digital rural environmental information system, the development dynamics of the countryside can be analyzed quantitatively. The experimental results show that the system can accurately analyze the rural environment.

Qiang Huang. Ecological Strategies for Rural Nature Conservation Environment Based on Big Data Information System. Nature Environmental Protection (2022), Vol. 3, Issue 2: 42-49. https://doi.org/10.38007/NEP.2022.030205.

[1] Bokolo Anthony Jr. Green Information Systems Refraction for Corporate Ecological Responsibility Reflection in ICT Based Firms: Explicating Technology Organization Environment Framework. J. Cases Inf. Technol. (2020) 22(1): 14-37. https://doi.org/10.4018/JCIT.2020010102

[2] Muhammad Akram, Anam Luqman. Granulation of Ecological Networks under Fuzzy Soft Environment. Soft Comput. (2020) 24(16): 11867-11892. https://doi.org/10.1007/s00500-020- 05083-4

[3] Sadegh Tajeddin, Sanaz Ekhtiari, Mohammad Reza Faieghi, Nasser L. Azad. Ecological Adaptive Cruise Control With Optimal Lane Selection in Connected Vehicle Environments. IEEE Trans. Intell. Transp. Syst. (2020) 21(11): 4538-4549. https://doi.org/10.1109/TITS.2019.2938726

[4] Chairuddin Ismail. Strengthening Policies for Economic and Ecological Sustainability through the Enforcement of Environmental Crimes in Third World. Webology. (2020) 17(2): 328-335. https://doi.org/10.14704/WEB/V17I2/WEB17035

[5] John Martin Gillroy. Toward an Environmental Law of Essential Goods: A Philosophical and Legal Justification For 'Ecological Contract'. Int. J. Technoethics. (2018) 9(2): 42-50. https: //doi.org/10.4018/IJT.2018070104

[6] Victor Chang, Péter Kacsuk, Gary B Wills, Reinhold Behringer. Call for Special Issue Papers: Big Data and the Internet-of-Things in Complex Information Systems: Selections from IoTBDS 2022 and COMPLEXIS 2022: Deadline for Manuscript Submission: September 30, 2022. Big Data. (2022) 10(2): 93-94. https://doi.org/10.1089/big.2021.29050.cfp

[7] Anandakumar Haldorai, Sri Devi Ravana, Joan Lu, Arulmurugan Ramu. Big Data in Intelligent Information Systems. Mob. Networks Appl. (2022) 27(3): 997-999. https://doi.org/10.1007/s 11036-021-01863-w

[8] Stephan Hutterer. Big Data & KI: Chance FÜR Moderne Leittechnische Systeme. Elektrotech. Informationstechnik. (2021) 138(8): 648-651. https://doi.org/10.1007/s00502-021-00960-8

[9] Roba Abbas, Albert Munoz. Designing antifragile social-technical information systems in An Era of Big Data. Inf. Technol. People. (2021) 34(6): 1639-1663. https://doi.org/10.1108/ITP-09-2020- 0673

[10] Arun Kumar Sangaiah, Ankit Chaudhary, Chun-Wei Tsai, Jin Wang, Francesco Mercaldo. Cognitive Computing for Big Data Systems over Internet of Things for Enterprise Information Systems. Enterp. Inf. Syst. (2020) 14(9-10): 1233-1237. https://doi.org/10.1080/17517575.2020.1 814422

[11] Raja Sher Afgun Usmani, Ibrahim Abaker Targio Hashem, Thulasyammal Ramiah Pillai, Anum Saeed, Akibu Mahmoud Abdullahi. Geographic Information System and Big Spatial Data: A Review and Challenges. Int. J. Enterp. Inf. Syst. (2020) 16(4): 101-145. https://doi.org/10.4018/IJE IS.2020100106

[12] Mohamed Elhoseny, M Kabir Hassan, Mirjana Pejic-Bach. Special Issue on "Cognitive Big Data Analytics for Intelligent Information Systems". Inf. Syst. E Bus. Manag. (2020) 18(4): 485-486. https://doi.org/10.1007/s10257-020-00483-3

[13] Maria A Poltavtseva, Maxim O Kalinin. Modeling Big Data Management Systems in Information Security. Autom. Control. Comput. Sci. (2019) 53(8): 895-902. https://doi.org/ 10.3103/S014641161908025X

[14] Marouane Balmakhtar, Scott E Mensch. Big Data Analytics Adoption Factors in Improving Information Systems Security. Int. J. Strateg. Inf. Technol. Appl. (2019) 10(3): 1-21. https://doi.org/10.4018/IJSITA.2019070101

[15] Tserenpurev Chuluunsaikhan, Jin-Hyun Song, Kwan-Hee Yoo, Hyung-Chul Rah, Aziz Nasridinov. Agriculture Big Data Analysis System Based on Korean Market Information. J. Multim. Inf. Syst. (2019) 6(4): 217-224. https://doi.org/10.33851/JMIS.2019.6.4.217

[16] Ludovico Boratto, Salvatore Carta, Andreas Kaltenbrunner, Matteo Manca. Guest Editorial: Behavioral-Data Mining in Information Systems and the Big Data Era. Inf. Syst. Frontiers. (2018) 20(6): 1153-1156. https://doi.org/10.1007/s10796-018-9884-1

[17] Dharmendra Singh Rajput, Syed Muzamil Basha, Qin Xin, Thippa Reddy Gadekallu, Rajesh Kaluri, Kuruva Lakshmanna, Praveen Kumar Reddy Maddikunta. Providing diagnosis on Diabetes Using Cloud Computing Environment to the People Living in Rural Areas of India. J. Ambient Intell. Humaniz. Comput. (2022) 13(5): 2829-2840. https://doi.org/10.1007/s12652-021-03154-4

[18] Nektarios Moraitis, Lefteris Tsipi, Demosthenes Vouyioukas, Angelina Gkioni, Spyridon Louvros. On the Assessment of Ensemble Models for Propagation Loss Forecasts in Rural Environments. IEEE Wirel. Commun. Lett. (2022) 11(5): 1097-1101. https://doi.org/10.11 09/LWC.2022.3157520