| 人工神经网络在林业上的应用研究进展 |
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| 引用本文： | 孙翊,姜树海,陈至灵.人工神经网络在林业上的应用研究进展[J].世界林业研究,2019,32(3):7-12. |
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| 作者姓名： | 孙翊 姜树海 陈至灵 |
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| 作者单位： | 1.南京林业大学机械电子工程学院, 南京 210037 |
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| 基金项目： | 国家公益性行业科研专项重大项目课题三“森林火灾余火探测与清理机器人研发”（201404402-03）。 |
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| 摘 要： | 在目前的林业生产中，林业作业机械化、自动化与智能化的程度存在着一定的不足，在林业作业中借助人工神经网络技术优化作业系统可以有效地提高作业效率和精度。文中概述了国内外人工神经网络在林业作业应用中的研究现状以及人工神经网络在林业作业应用中的优势，介绍了人工神经网络在植树造林、森林监测、森林采伐、木材加工4个方面的应用现状，在分析林业作业应用人工神经网络存在问题的基础上，提出了人工神经网络在林业作业应用中未来的发展方向，以期提高林业作业的智能性和准确性。
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| 关 键 词： | 人工神经网络 林业作业 应用研究 |
| 收稿时间： | 2018/7/18 0:00:00 |
| 修稿时间： | 2019/1/23 0:00:00 |
Application of Artificial Neural Network to Forestry |
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| Sun Yi,Jiang Shuhai and Chen Zhiling.Application of Artificial Neural Network to Forestry[J].World Forestry Research,2019,32(3):7-12. |
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| Authors: | Sun Yi Jiang Shuhai and Chen Zhiling |
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| Institution: | 1.College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China2.Institute of Intelligent Control and Robotics, Nanjing Forestry University, Nanjing 210037, China |
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| Abstract: | The current forestry production operation is short of mechanization, automation and intelligence. To fill the gap, the artificial neural network technology could be used to optimize the forest operation so as to effectively improve the sufficiency and precision of operations. This paper summarizes the research on the use of artificial neural network in forest operation and its advantages, and introduces the application of artificial neural network in four aspects, i.e., afforestation, forest monitoring, forest harvesting and wood processing. Based on the analysis of the problems found in the application of artificial neural networks to forestry operations, the authors propose the future development direction of its application to forest operations, in order to increase the intelligence and accuracy of forest operations. |
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| Keywords: | artificial neural network forest cooperation application research |
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