人工智能驱动的植物科学:改变林业监测,疾病预测和气候适应
Zuo Xu1,2, Dalong Jiang1,2
1Ministry of Education Key Laboratory for Ecology of Tropical Islands, Key Laboratory of Tropical Animal and Plant Ecology of Hainan Province, College of Life Sciences, Hainan Normal University, Haikou 571158, China.
Plants (Basel, Switzerland)
|June 13, 2025
概括
人工智能 (AI) 通过精确监测,灾害管理和碳捕获来增强林业. 人工智能模型通用化和道德实施的挑战需要进一步研究可持续森林管理.
科学领域:
- 林业科学 林业科学
- 人工智能应用程序 人工智能应用程序
- 环境监测 环境监测
背景情况:
- 人工智能 (AI) 融入林业正在彻底改变林业实践.
- 影响的主要领域包括精确监测,灾害管理和保护工作.
- 现有的知识差距阻碍了在跨生态环境中广泛采用人工智能.
研究的目的:
- 提供关于人工智能在林业中的作用的全面审查.
- 专注于人工智能在资源监测,灾害管理和可持续性方面的应用.
- 确定人工智能在林业实施方面的进展和持续挑战.
主要方法:
- 对学术数据库进行了全面的文献搜索.
- 搜索涵盖了2019年至2025年的时间段.
- 该审查综合了关于人工智能在林业中的应用的发现.
主要成果:
- 人工智能可实现高精度资源监控,对树冠的树冠准确度为次米.
- 人工智能增强了灾害管理,特别是高回忆率的野火检测.
- 人工智能优化了碳捕获策略,特别是在红树林生态系统中.
结论:
- 人工智能在林业资源管理和保护方面取得了重大进展.
- 持续的挑战包括跨生态模型的概括,数据融合和道德考虑.
- 未来的研究必须优先考虑可扩展的AI模型和生态系统弹性协作实施策略.
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