A Low-Altitude Remote Sensing Inspection Method on Rural Living Environments Based on a Modified YOLOv5s-ViT by Wang, Chunshan, Sun, Wei, Wu, Huarui, Zhao, Chunjiang, Teng, Guifa, Yang, Yingru, Du, Pengfei

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Effect of Vertical Distribution of Crop Structure and Biochemical Parameters of Winter Wheat on Canopy Reflectance Characteristics and Spectral Indices by Zhao, Chunjiang, Li, Heli, Li, Pingheng, Yang, Guijun, Gu, Xiaohe, Lan, Yubin

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Low-Altitude Remote Sensing Opium Poppy Image Detection Based on Modified YOLOv3 by Wang, Chunshan, Wang, Qian, Wu, Huarui, Zhao, Chunjiang, Teng, Guifa, Li, Jiuxi

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EFFECT OF ELECTRIC PULSE TREATMENT ON MICROSTRUCTURE, ELECTROCHEMICAL AND DISCHARGE PROPERTIES OF AZ61 ANODES FOR Mg-AIR BATTERIES by Zou, Jinchao, Zhang, Tao, Huang, Zhiquan, Zhao, Chunjiang, Wang, Junpeng

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Remote Sensing of Leaf and Canopy Nitrogen Status in Winter Wheat (Triticum aestivum L.) Based on N-PROSAIL Model by Li, Zhenhai, Jin, Xiuliang, Yang, Guijun, Drummond, Jane, Yang, Hao, Clark, Beth, Li, Zhenhong, Zhao, Chunjiang

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An Effective Pyramid Neural Network Based on Graph-Related Attentions Structure for Fine-Grained Disease and Pest Identification in Intelligent Agriculture by Lin, Sen, Xiu, Yucheng, Kong, Jianlei, Yang, Chengcai, Zhao, Chunjiang

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A Plant Disease Recognition Method Based on Fusion of Images and Graph Structure Text by Wang, Chunshan, Zhou, Ji, Zhang, Yan, Wu, Huarui, Zhao, Chunjiang, Teng, Guifa, Li, Jiuxi

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Hyperspectral remote sensing for tobacco quality estimation, yield prediction, and stress detection: A review of applications and methods by Zhang, Mingzheng, Chen, Tian'en, Gu, Xiaohe, Chen, Dong, Wang, Cong, Wu, Wenbiao, Zhu, Qingzhen, Zhao, Chunjiang

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Identification of Apple Orchard Planting Year Based on Spatiotemporally Fused Satellite Images and Clustering Analysis of Foliage Phenophase by Zhu, Yaohui, Yang, Guijun, Yang, Hao, Wu, Jintao, Lei, Lei, Zhao, Fa, Fan, Lingling, Zhao, Chunjiang

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Spectroscopic detection of wheat yellow mosaic virus infection based on invariant shape spectral processing and machine learning by Feng, Ziheng, Ding, Xinyao, Zhang, Haiyan, He, Li, Duan, Jianzhao, Ma, Xinming, Zhao, Chunjiang, Yang, Guijun, Feng, Wei

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Use of 3D modeling to refine predictions of canopy light utilization: A comparative study on canopy photosynthesis models with different dimensions by Gu, Shenghao, Wen, Weiliang, Xu, Tianjun, Lu, Xianju, Yu, Zetao, Guo, Xinyu, Zhao, Chunjiang

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Quantitative phenotyping and evaluation for lettuce leaves of multiple semantic components by Du, Jianjun, Li, Bo, Lu, Xianju, Yang, Xiaozeng, Guo, Xinyu, Zhao, Chunjiang

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In-Field, In Situ, and In Vivo 3-Dimensional Elemental Mapping for Plant Tissue and Soil Analysis Using Laser-Induced Breakdown Spectroscopy by Zhao, Chunjiang, Dong, Daming, Du, Xiaofan, Zheng, Wengang

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An Instance- and Label-Based Feature Selection Method in Classification Tasks by Fan, Qingcheng, Liu, Sicong, Zhao, Chunjiang, Li, Shuqin

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RTAD: A Real-Time Animal Object Detection Model Based on a Large Selective Kernel and Channel Pruning by Liu, Sicong, Fan, Qingcheng, Zhao, Chunjiang, Li, Shuqin

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Energy-Saving Control Method for Factory Mushroom Room Air Conditioning Based on MPC by Wang, Mingfei, Zheng, Wengang, Zhao, Chunjiang, Chen, Yang, Chen, Chunling, Zhang, Xin

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Pre-seasonal temperature trend break dominating the trend break in autumn grassland phenology in China by Qi, Ning, Yang, Yanzheng, Yang, Guijun, Li, Weizhong, Zhao, Chunjiang, Zhao, Jun, Wang, Boheng, Su, Shaofeng, Zhao, Pengxiang

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Greenhouse-based vegetable high-throughput phenotyping platform and trait evaluation for large-scale lettuces by Du, Jianjun, Fan, Jiangchuan, Wang, Chuanyu, Lu, Xianju, Zhang, Ying, Wen, Weiliang, Liao, Shengjin, Yang, Xiaozeng, Guo, Xinyu, Zhao, Chunjiang

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In vitro activities of Eravacycline against 336 isolates collected from 2012 to 2016 from 11 teaching hospitals in China by Zhao, Chunjiang, Wang, Xiaojuan, Zhang, Yawei, Wang, Ruobing, Wang, Qi, Li, Henan, Wang, Hui

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Estimation of Soybean Yield by Combining Maturity Group Information and Unmanned Aerial Vehicle Multi-Sensor Data Using Machine Learning by Ren, Pengting, Li, Heli, Han, Shaoyu, Chen, Riqiang, Yang, Guijun, Yang, Hao, Feng, Haikuan, Zhao, Chunjiang

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