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| 农田杂草识别技术的现状与展望 | |
| 引用本文： | 陈德润,王书茂,王秀.农田杂草识别技术的现状与展望[J].中国农机化,2005(2):35-38. |
| 作者姓名： | 陈德润 王书茂 王秀 |
| 作者单位： | 1. 北京农业信息研究中心,100089,北京市 2. 中国农业大学,100083,北京市 3. 北京农业信息研究中心 |
| 基金项目： | 课题来源:国家高技术研究发展计划(863计划) 项目编号:2003AA209040 |
| 摘 要： | 杂草是农业生产的大敌，其蔓延速度快，危害严重。目前采用的杂草识别技术主要有人工识别、计算机视觉技术识别、绿色识别、近红外光谱分析技术识别。近年来，随着光学仪器的不断发展和近红外技术的不断成熟，近红外技术的应用越来越广，因此基于近红外技术的杂草识别——绿色识别和近红外光谱分析技术识别将是今后农田杂草自动识别的主要措施。 |
| 关 键 词： | 农田杂草 近红外光谱分析技术 识别技术 成熟 计算机视觉技术 农业生产 危害 现状与展望 发展 绿色 |
| 文章编号： | 1006-7205(2005)02-0035-04 |
| 修稿时间： | 2004年10月29 |
Status and Prospect for Recognition Technology of Farm Weeds |
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| CHEN De-run,WANG Shu-mao,WANG Xiu.Status and Prospect for Recognition Technology of Farm Weeds[J].Chinese Agricul Tural Mechanization,2005(2):35-38. | |
| Authors: | CHEN De-run WANG Shu-mao WANG Xiu |
| Abstract: | Weeds is the most threat to agricultural production because they have quick spread and serious harm. At present, some major technologies, adopted to identify the farm weeds, include manual methods, computer vision technique, greenness recognition, assaying technique of near-infrared reflection spectroscopy. During the recent years, along with increasing development of optical instruments and near-infrared technique have been arriving at increasingly popular application of near-infrared technique. Therefore, greenness recognition and assaying technique of near-infrared reflection spectroscopy, based on near-infrared technique, will become major methods to auto-recognition of farm weeds in the future. |
| Keywords: | weeds auto-recognition near-infrared spectroscopy greenness identification |
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