Automatic extraction of wheat lodging area based on transfer learning method and deeplabv3+network
文献类型：期刊论文
| 作者 | Zhang, Dongyan1; Ding, Yang1; Chen, Pengfei2,3 ; Zhang, Xiangqian4; Pan, Zhenggao5; Liang, Dong1
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| 刊名 | COMPUTERS AND ELECTRONICS IN AGRICULTURE
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| 出版日期 | 2020-12-01 |
| 卷号 | 179页码:8 |
| 关键词 | Wheat lodging Multiple growth stages Deep learning Transfer learning DeepLabv3+network |
| ISSN号 | 0168-1699 |
| DOI | 10.1016/j.compag.2020.105845 |
| 通讯作者 | Chen, Pengfei(pengfeichen@igsnrr.ac.cn) |
| 英文摘要 | To provide technical support for lodging-resistant wheat breeding, post-disaster assessment, and analysis of factors affecting lodging, the dynamic and accurate extraction of lodging area is particularly important. Most existing methods of monitoring wheat lodging aim to extract the lodging area at a single growth stage, rendering the dynamic monitoring of wheat lodging highly difficult. Thus, this study was aimed at developing a method of estimating wheat lodging at multiple growth stages. For this purpose, nitrogen fertilizers were utilized at different levels to induce different lodging conditions in wheat fields. Unmanned aerial vehicles (UAVs) were used to obtain Red, Green and Blue (RGB) and multispectral images of the field at different wheat-growth stages. Based on these two types of images, a new method combining transfer learning and the DeepLabv3+ network is proposed herein to extract lodging areas at various wheat-growth stages. The proposed method was compared with the commonly used UNet for the extraction of the lodging area. The results show that the proposed method and UNet achieved dice coefficients of 0.82 and 0.75 (early flowering), 0.88 and 0.80 (late flowering), 0.89 and 0.86 (filling stage), 0.90 and 0.87 (early maturity), and 0.90 and 0.88 (late maturity), respectively, using RGB images; further, the proposed method and UNet achieved dice coefficients of 0.91 and 0.51 (early flowering), 0.89 and 0.28 (late flowering), 0.91 and 0.82 (filling stage), 0.93 and 0.76 (early maturity), and 0.92 and 0.56 (late maturity), respectively, at different wheat-growth stages using multispectral image data. Thus, the proposed method can be used to predict lodging at multiple wheat-growth stages, and it outperforms UNet. An effective tool for dynamic monitoring of wheat lodging has been proposed herein. |
| WOS关键词 | RICE |
| 资助项目 | Outstanding Young Talents in Colleges and Universities in Anhui Province[Y040518001] ; National Key Research and Development Program of China[2017YFD0301305] ; Key Natural Science Project of Anhui Provincial Education Department[kj2019a0668] ; National Natural Science Foundation of China[41871344] |
| WOS研究方向 | Agriculture ; Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000596395700004 |
| 出版者 | ELSEVIER SCI LTD |
| 资助机构 | Outstanding Young Talents in Colleges and Universities in Anhui Province ; National Key Research and Development Program of China ; Key Natural Science Project of Anhui Provincial Education Department ; National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/137407]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Chen, Pengfei |
| 作者单位 | 1.Anhui Univ, Natl Engn Res Ctr Agroecol Big Data Anal & Applic, Hefei 230601, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China 4.Anhui Acad Agr Sci, Inst Crops, Hefei 230031, Peoples R China 5.Suzhou Univ, Sch Informat & Engn, Suzhou 234000, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Dongyan,Ding, Yang,Chen, Pengfei,et al. Automatic extraction of wheat lodging area based on transfer learning method and deeplabv3+network[J]. COMPUTERS AND ELECTRONICS IN AGRICULTURE,2020,179:8. |
| APA | Zhang, Dongyan,Ding, Yang,Chen, Pengfei,Zhang, Xiangqian,Pan, Zhenggao,&Liang, Dong.(2020).Automatic extraction of wheat lodging area based on transfer learning method and deeplabv3+network.COMPUTERS AND ELECTRONICS IN AGRICULTURE,179,8. |
| MLA | Zhang, Dongyan,et al."Automatic extraction of wheat lodging area based on transfer learning method and deeplabv3+network".COMPUTERS AND ELECTRONICS IN AGRICULTURE 179(2020):8. |
入库方式： OAI收割
来源：地理科学与资源研究所
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