林剑辈�img width="160" height="231" style="margin: 0px; text-align: left; color: rgb(0, 0, 0); text-transform: none; text-indent: 0px; letter-spacing: normal; font-family: sans-serif; font-size: 16px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; word-spacing: 0px; white-space: normal; orphans: 2; float: right; -webkit-text-stroke-width: 0px; background-color: transparent;" src="//www.inggristalk.com/gxy/jiaozhiyuangong/jiaoshixilie/fujiaoshou/l_20200225164620713872_20200225164646987905/../../../../2020-04/202004182221531746298.jpg" border="0"/>

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职称:副教掇�/span>

学科:林业电气化与自动匕�/span>

联系电话: +86-10-62336922

Email: swiq_lin@163.com

教育背景

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2002/9�?007/7� 中国农业大学� 农业电气化与自动化， 博士

1996/9�?000/7� 中国农业大学� 应用电子技术， 学士

成就及获奖经厅�/span>

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2015获中华人民共和国农业部中华农业科技奕�span style="font-family:等线, serif">,三等奕�/p>

2018年国家林业和草原局梁希林业科学技术奖，二等奖

主要成果

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Kaizhou Li, Jianhui Lin*, Jinrong Liu and Yandong Zhao, Using Deep Learning for Image-Based Different Degrees of Ginkgo Leaf Disease Classification, Information, 2020,11(2): 95;

Gao Dashuai, Lin Jianhui*, Yu Jiangbin, Sun Yurui, Peter Schulze Lammers, Correction of leaf area measurement based on Android smartphone orientation sensor, International Agricultural Engineering Journal, 2017,26(1): 186-192.

Lin, J.＋�span style="font-family:等线, serif">Sun, Y.＋�span style="font-family:等线, serif">Lammers, P. Schulze＋�span style="font-family:等线, serif">Evaluating model-based relationship of cone index, soil water content and bulk density using dual-sensor penetrometer data＋�span style="font-family:等线, serif">Soil and Tillage Research＋�span style="font-family:等线, serif">2014.5＋�span style="font-family:等线, serif">138９�span style="font-family:等线, serif">9~16

蔡祥，孙宇瑞，赵燕东，郑力嘉，林剑辉*，基亍�span style="font-family:等线, serif">3-D数据的叶片萎蔫形态辨识方法，农业机械学报＋�span style="font-family:等线, serif">2015.5＋�span style="font-family:等线, serif">46＇�span style="font-family:等线, serif">5）：286~292

Wang Qiaoli＋�span style="font-family:等线, serif">Lin Jianhui*＋�span style="font-family:等线, serif">Xu Yanfeng＋�span style="font-family:等线, serif">Prediction of Soil Bulk Density Based on BP Neural Network Using Dual-sensor Penetromter Data＋�span style="font-family:等线, serif">Information Technology Journal＋�span style="font-family:等线, serif">2013.12＋�span style="font-family:等线, serif">12＇�span style="font-family:等线, serif">16）：3650~3654