Detection of Rice Leaf Folder in Paddy Fields Based on Unmanned Aerial Vehicle-Based Hyperspectral Images
文献类型： 外文期刊
作者： Feng, Shanshan 1 ; Jiang, Shun 1 ; Huang, Xuying 1 ; Zhang, Lei 1 ; Gan, Yangying 1 ; Wang, Laigang 3 ; Zhou, Canfang 1 ;
作者机构： 1.Guangdong Acad Agr Sci, Inst Agr Econ & Informat, Guangzhou 510640, Peoples R China
2.Minist Agr & Rural Affairs, Key Lab Urban Agr South China, Guangzhou 510640, Peoples R China
3.Henan Acad Agr Sci, Inst Agr Informat Technol, Zhengzhou 450002, Peoples R China
4.Minist Agr & Rural Affairs, Key Lab Huang Huai Hai Smart Agr Technol, Zhengzhou 450002, Peoples R China
关键词： rice pests; rice leaf folder; UAV; hyperspectral remote sensing; machine learning
期刊名称：AGRONOMY-BASEL （ 影响因子：3.4； 五年影响因子：3.8 ）
ISSN：
年卷期： 2024 年 14 卷 11 期
页码：
收录情况： SCI
摘要： Pest infestations significantly impact rice production and threaten food security. Remote sensing offers a vital tool for the non-destructive, rapid detection of rice pests. Existing studies often focus on laboratory conditions at the leaf level, limiting their applicability for precise pesticide application. Therefore, this study aimed to develop a method for detecting rice pests (rice leaf folders) in paddy fields based on unmanned aerial vehicle (UAV) hyperspectral data. Firstly, a UAV imaging system collected hyperspectral images of rice plants in both the jointing and heading stages. A total of 222 field plots for investigating rice leaf folders was established during these two periods. Secondly, 23 vegetation indices were calculated as candidates for identifying rice pests. Then, hyperspectral data and field investigation data from the jointing stage were used to construct a machine learning (extreme gradient boosting, XGBoost) algorithm for detecting rice pests. The results showed that the XGBoost model exhibited the best performance when eight vegetation indices were considered as the selected input features for model construction: the Red-edge Normalized Difference Vegetation Index (red-edge NDVI), Structure Insensitive Pigment Index (SIPI), Enhanced Vegetation Index (EVI), Atmospherically Resistant Vegetation Index (ARVI), Soil-Adjusted Vegetation Index (SAVI), Red-edge Chlorophyll Index (CIred-edge), Pigment-Specific Simple Ratio680 (PSSR680), and Carotenoid Reflectance Index700 (CPI700). The training and testing accuracies reached 87.46% and 86%, respectively. Furthermore, the heading stage application confirmed the model's feasibility. Thus, the XGBoost model with input features of eight vegetation indices provides an effective and reliable method for detecting rice leaf folders, supporting real-time, precise pesticide use in rice cultivation.
- 相关文献
作者其他论文 更多>>
-
A Hybrid Method of PROSAIL RTM for the Retrieval Canopy LAI and Chlorophyll Content of Moso Bamboo (Phyllostachys pubescens) Forests From Sentinel-2 MSI Data
作者：Xu, Zhanghua;Zhang, Chaofei;Xiang, Songyang;Chen, Lingyan;Yu, Xier;Li, Haitao;Xu, Zhanghua;Zhang, Chaofei;Xiang, Songyang;Chen, Lingyan;Yu, Xier;Li, Haitao;Li, Zenglu;Guo, Xiaoyu;Li, Zenglu;Zhang, Huafeng;Huang, Xuying;Guan, Fengying
关键词：Canopy chlorophyll content (CCC); hybrid method; leaf area index (LAI); Moso bamboo forests; PROSAIL RTM; Canopy chlorophyll content (CCC); hybrid method; leaf area index (LAI); Moso bamboo forests; PROSAIL RTM
-
The Coexistence of Bicellular and Tricellular Pollen Might Be the Third Type of Pollen Cell Number: Evidence from Annonaceae
作者：Gan, Yangying;Zhang, Qi;Xiao, Chunfen;Ping, Jingyao
关键词：Annonaceae; pollen cell number; bicellular pollen; tricellular pollen
-
Optimizing Data Consistency in UAV Multispectral Imaging for Radiometric Correction and Sensor Conversion Models
作者：Yang, Weiguang;Wu, Jinhao;Lan, Yubin;Yang, Weiguang;Fu, Huaiyuan;Wu, Jinhao;Liu, Shiyuan;Li, Xi;Tan, Jiangtao;Lan, Yubin;Zhang, Lei;Yang, Weiguang;Fu, Huaiyuan;Wu, Jinhao;Liu, Shiyuan;Li, Xi;Tan, Jiangtao;Lan, Yubin;Zhang, Lei;Fu, Huaiyuan;Liu, Shiyuan;Li, Xi;Tan, Jiangtao;Zhang, Lei;Xu, Weicheng
关键词：multispectral imaging; data consistency; radiometric correction; Parrot Sequoia; DJI Phantom 4 Multispectral; data conversion modeling
-
Self-calibrated acceleration and detail preserving for semantic segmentation of lactating sows and piglets under low-light conditions
作者：Yang, Aqing;Han, Na;Zheng, Jiabi;Zhang, Lei;Xue, Yueju;Luo, Yizhi;Zheng, Jiabi
关键词：Low-light image enhancement; Semantic segmentation; Lactating sows and piglets; Smart animal husbandry; Self-calibrated acceleration; Semantic perceptual loss
-
Extraction of Abandoned Cropland Using Multisource Remote Sensing Images in Suburban Regions: A Case Study of Zengcheng, Guangdong Province
作者：Feng, Shanshan;Jiang, Shun;Liu, Xu;Zhang, Lei;Gan, Yangying;Zhou, Canfang;Feng, Shanshan;Jiang, Shun;Liu, Xu;Zhang, Lei;Gan, Yangying;Xia, Ning;Zhou, Canfang;Xia, Ning;Wu, Wenbin;Wu, Wenbin
关键词：Spatial resolution; Accuracy; Remote sensing; Data mining; Normalized difference vegetation index; Meters; Urban areas; Crops; Graphical models; Distribution functions; Abandoned cropland; land use classification; normalized difference vegetation index (NDVI) maximum value; unplanted cropland; Zengcheng
-
Impact of hyperspectral reconstruction techniques on the quantitative inversion of rice physiological parameters: A case study using the MST plus plus model
作者：Yang, Weiguang;Lan, Yubin;Liu, Shiyuan;Zhang, Lei;Zhang, Bin;Xu, Weicheng;Yang, Weiguang;Liu, Shiyuan;Lan, Yubin;Zhang, Lei;Yang, Weiguang;Liu, Shiyuan;Lan, Yubin;Zhang, Lei
关键词：multistage spectral-wise transformer; hyperspectral reconstruction; rice; dry matter content; height
-
Motion-Status-Driven Piglet Tracking Method for Monitoring Piglet Movement Patterns Under Sow Posture Changes
作者：Yang, Aqing;Han, Na;Zhang, Lei;Li, Shimei;Tu, Shuqin;Luo, Yizhi;Xue, Yueju
关键词：social relationships; behavioral patterns; stress behavior recognition; multi-object tracking; hierarchical matching mechanism
