人工智能在森林生态补偿政策评估与优化中的应用  

Application of AI to Evaluation and Optimization of Forest Ecological Compensation Policy

作　　者：黄寿昌[1] HUANG Shouchang

机构地区：[1]广西生态工程职业技术学院,广西柳州545000

出　　处：《智慧农业导刊》2024年第10期17-20,共4页JOURNAL OF SMART AGRICULTURE

摘　　要：该文通过研究森林生态补偿政策的评估与优化,探讨人工智能技术在该领域的应用及其作用。首先,综述森林生态补偿政策评估与优化的研究现状,指出现有研究的不足之处。接着,阐述人工智能技术在森林生态补偿政策评估与优化领域的应用,如数据采集、数据分析、预测模型构建等。然后,构建一个基于人工智能的森林生态补偿政策评估与优化模型,该模型能够更准确地评估政策效果,优化政策制定过程。最后,结合实际案例,分析人工智能在森林生态补偿政策评估与优化中的应用实践,证明人工智能技术在提升政策效果、促进森林资源可持续利用方面的积极作用。By studying the evaluation and optimization of forest ecological compensation policy,this paper discusses the application and function of artificial intelligence technology in this field.First of all,this paper summarizes the research status of forest ecological compensation policy evaluation and optimization,and points out the shortcomings of the existing research.Then,the paper describes the application of artificial intelligence technology in the field of forest ecological compensation policy evaluation and optimization,such as data collection,data analysis,prediction model construction and so on.Then,a forest ecological compensation policy evaluation and optimization model based on artificial intelligence is constructed,which can evaluate the policy effect more accurately and optimize the policy-making process.Finally,combined with the actual case,this paper analyzes the application practice of artificial intelligence in the evaluation and optimization of forest ecological compensation policy,and proves the positive role of artificial intelligence technology in improving policy effect and promoting the sustainable utilization of forest resources.

关 键 词：人工智能 森林生态补偿 政策评估 决策支持系 优化模型 

分 类 号：F326.2[经济管理—产业经济]