利用人工智能技术进行智能棕榈树检测：十年系统评价
Leveraging Artificial Intelligence Techniques for Smart Palm Tree Detection: A Decade Systematic Review
摘要：
近几年来，财政对农业的投入大幅度增加。棕榈树对许多国家的经济很重要，特别是在北非和中东。棕榈树检测和计数方面的监测为各种利益相关者提供了有用的信息;它有助于产量估计和检查，以确保更好的作物质量，防止害虫，疾病，更好的灌溉和其他潜在威胁。尽管这些信息很重要，但仍然难以获得。本研究系统回顾了2011年至2021年期间关于人工智能（AI）技术用于智能棕榈树检测的研究文章。采用基于四阶段选择过程的PRISMA方法进行系统评价（SR）。根据搜索策略以及纳入标准纳入了22篇关于综合活动的文章，以回答两个主要研究问题。该研究的结果揭示了过去十年中将人工智能应用于棕榈树检测的模式、关系、网络和趋势。尽管大多数研究取得了良好的结果，但大规模棕榈种植园的有效和高效管理仍然是一个挑战。此外，经济与智能掌上服务密切相关的国家，特别是北非国家，应更多地关注这类研究。这项研究的结果可以使研究界和利益攸关方受益。
英文摘要：
Over the past few years, total financial investment in the agricultural sector has increased substantially. Palm tree is important for many countries' economies, particularly in northern Africa and the Middle East. Monitoring in terms of detection and counting palm trees provides useful information for various stakeholders; it helps in yield estimation and examination to ensure better crop quality and prevent pests, diseases, better irrigation, and other potential threats. Despite their importance, this information is still challenging to obtain. This study systematically reviews research articles between 2011 and 2021 on artificial intelligence (AI) technology for smart palm tree detection. A systematic review (SR) was performed using the PRISMA approach based on a four-stage selection process. Twenty-two articles were included for the synthesis activity reached from the search strategy alongside the inclusion criteria in order to answer to two main research questions. The study's findings reveal patterns, relationships, networks, and trends in applying artificial intelligence in palm tree detection over the last decade. Despite the good results in most of the studies, the effective and efficient management of large-scale palm plantations is still a challenge. In addition, countries whose economies strongly related to intelligent palm services, especially in North Africa, should give more attention to this kind of study. The results of this research could benefit both the research community and stakeholders.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
