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基于电学参数的稻谷含水率和出糙率机器学习预测模型

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农业工程学报 2024年第15期40卷 245-252页

作者：邓安徐永阳邱伟强李立金银哲上海海洋大学食品学院上海201306 上海海洋大学食品热加工工程中心上海201306

收购现场稻谷出糙率和含水率的快速检测有助于稻谷的快速收购和分级管理,从而减少稻谷在运输、储藏和加工过程中的损耗。该研究使用LCR测量仪测试1~8 MHz频率下含水率为9.94%~23.51%的稻谷的介电常数、电容、介电损耗、损耗系数、导电... 详细信息

收购现场稻谷出糙率和含水率的快速检测有助于稻谷的快速收购和分级管理,从而减少稻谷在运输、储藏和加工过程中的损耗。该研究使用LCR测量仪测试1~8 MHz频率下含水率为9.94%~23.51%的稻谷的介电常数、电容、介电损耗、损耗系数、导电率和电导。将获得的数据用于建立二次回归模型和机器学习模型,机器学习模型分别为神经网络、决策树、随机森林和支持向量机。结果表明,频率为1 MHz时,导电率与稻谷的含水率和出糙率回归模型决定系数均最高,分别为0.960和0.929。此外,使用神经网络在预测稻谷的含水率和出糙率时获得了更好的预测效果,决定系数分别为0.987和0.935,这说明了神经网络模型可以更加灵活的获取和表达电学参数与稻谷含水率和出糙率之间的非线性关系。这种便捷、高效的模型可以为稻谷品质无损检测提供理论参考。

关键词：机器学习含水率电学参数回归模型稻谷出糙率

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农杆菌介导的厚皮甜瓜遗传转化体系的建立

果树学报 2024年第3期41卷 533-542页

作者：唐伶俐徐龙兰徐永阳贺玉花田小琴张健孔维虎李文东赵光伟中国农业科学院郑州果树研究所郑州450009 三亚中国农业科学院国家南繁研究院海南三亚572000 潍坊创科种苗有限公司山东昌乐262400

【目的】遗传转化是进行基因功能验证的重要手段,构建较为完善、高效的厚皮甜瓜遗传转化体系,为基因功能验证和厚皮甜瓜种质改良提供技术支撑。【方法】以厚皮甜瓜B8为材料,用携带植物双元表达载体pQY002005的根癌农杆菌介导转化B8子叶... 详细信息

【目的】遗传转化是进行基因功能验证的重要手段,构建较为完善、高效的厚皮甜瓜遗传转化体系,为基因功能验证和厚皮甜瓜种质改良提供技术支撑。【方法】以厚皮甜瓜B8为材料,用携带植物双元表达载体pQY002005的根癌农杆菌介导转化B8子叶诱导再生,通过探究影响甜瓜遗传转化过程中的重要因子的作用,建立以B8为基础的甜瓜遗传转化体系。【结果】以正常光周期培养3 d的无菌苗子叶节为外植体,对其进行微刷+10 s超声处理可提高农杆菌侵染效率,荧光芽获得率达29.6%;压力85 kPa的2次5 min的抽真空侵染方式(间隔1 min)侵染效果较佳;4 mg·L^(-1)的Basta较适宜筛选抗性植株。利用以上方法,单次转化120个子叶节外植体,可获得31个再生荧光芽,17株生根苗,通过PCR检测确定8株阳性苗,阳性率达58.8%,阳性植株获得率为6.7%。【结论】成功建立了以B8为材料的甜瓜高效遗传转化体系,为甜瓜关键基因功能验证和种质精准改良提供技术支持。

关键词：厚皮甜瓜遗传转化苗龄侵染方式抗性芽筛选

顾及多模态数据特征关联的城市功能区识别方法——以武汉市为例

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时空信息学报 2024年第1期31卷 74-84页

作者：戴娇胡胜刘宇轩徐永洋吴亮中国地质大学(武汉)地理与信息工程学院武汉430078 华南师范大学北斗研究院佛山528225 中国地质大学(武汉)计算机学院武汉430078 智能地学信息处理湖北省重点实验室(中国地质大学(武汉)) 武汉430078

城市功能区在城市化建设当中扮演着重要的角色,城市功能区建模与分析对于规划城市土地布局和优化土地利用模式有着重要意义。目前在城市功能区建模与分析的研究中,仍存在多模态数据利用率低、关联特征损失大的问题,这导致难以精确捕捉... 详细信息

城市功能区在城市化建设当中扮演着重要的角色,城市功能区建模与分析对于规划城市土地布局和优化土地利用模式有着重要意义。目前在城市功能区建模与分析的研究中,仍存在多模态数据利用率低、关联特征损失大的问题,这导致难以精确捕捉城市空间结构信息。因此,本研究以武汉市中心区域为例,基于街景影像数据和兴趣点数据构建城市功能区识别方法。首先,将研究区域划分为500 m×500 m的格网单元,运用自然语言模型、深度学习、空间插值等方法来提取多维度的城市功能特征;其次,利用核典型相关分析方法提取多模态数据的关联特征,分析不同共享空间维度和相关性的关系;最后,基于建成环境特征、社会经济语义特征、拼接特征及关联特征的多维度特征构建随机森林功能区识别模型,并分别与两种常用数据模态进行对比评价。结果表明,本方法相较于没有顾及关联特征的模型准确度提高了3.4%。研究成果可为政府决策规划、城市发展评估提供帮助,推动城市化建设。

关键词：城市功能区多模态数据融合特征关联核典型相关分析街景兴趣点

Correg-Yolov3:a Method for Dense Buildings Detection in High-resolution Remote Sensing Images

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Journal of Geodesy and Geoinformation Science 2023年第2期6卷 51-61页

作者： Zhanlong CHEN Shuangjiang LI yongyang xu Daozhu xu Chao MA Junli ZHAO School of Geography and Information Engineering China University of GeoscienceWuhan 430078China Key Laboratory of Geological Survey and Evaluation of Ministry of Education China University of GeosciencesWuhan 430074China Key Laboratory of Urban Land Resource Monitoring and Simulation Ministry of Natural ResourceShenzhen 518034China Xi’an Research Institute of Surveying and Mapping Xi’an 710054China State Key Laboratory of Geo-Information Engineering Xi’an 710054China School of Computer Science China University of GeoscienceWuhan 430078China Central Southern China Electric Power Design Institute Co. Ltd.Wuhan 430071China

The exploration of building detection plays an important role in urban planning,smart city and *** at the problem of high overlapping ratio of detection frames for dense building detection in high resolution remote sensing images,we present an effective YOLOv3 framework,corner regression-based YOLOv3(Correg-YOLOv3),to localize dense building *** improved YOLOv3 algorithm establishes a vertex regression mechanism and an additional loss item about building vertex offsets relative to the center point of bounding *** extending output dimensions,the trained model is able to output the rectangular bounding boxes and the building vertices ***,we evaluate the performance of the Correg-YOLOv3 on our self-produced data set and provide a comparative analysis qualitatively and *** experimental results achieve high performance in precision(96.45%),recall rate(95.75%),F1 score(96.10%)and average precision(98.05%),which were 2.73%,5.4%,4.1%and 4.73%higher than that of ***,our proposed algorithm effectively tackles the problem of dense building detection in high resolution images.

关键词： high resolution remote sensing image Correg-YOLOv3 corner regression dense buildings object detection

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薄皮甜瓜新品种‘众天酥宝’

园艺学报 2024年第S1期51卷 125-126页

作者：贺玉花徐永阳唐玲俐户克云孔维虎张健赵光伟中国农业科学院郑州果树研究所郑州450009

‘众天酥宝’是优质杂交一代(M222×F220)薄皮甜瓜新品种。果实棒形,果皮浅绿色,覆深绿色斑条,单果质量约0.6 kg。果肉绿色,厚2.0 cm,肉质酥脆,中心可溶性固形物17.0%左右,边缘可溶性固形物11.0%左右。全生育期约95 d,果实发育期约28 d... 详细信息

‘众天酥宝’是优质杂交一代(M222×F220)薄皮甜瓜新品种。果实棒形,果皮浅绿色,覆深绿色斑条,单果质量约0.6 kg。果肉绿色,厚2.0 cm,肉质酥脆,中心可溶性固形物17.0%左右,边缘可溶性固形物11.0%左右。全生育期约95 d,果实发育期约28 d,产量约31732.5 kg·hm^(-2),适宜在中国北方地区保护地栽培。

关键词：甜瓜薄皮品种

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不同含水率稻谷电学物理量变化规律

食品工业 2024年第2期45卷 114-120页

作者：徐永阳邓安邱伟强李立金银哲上海海洋大学食品学院上海201306 食品热加工工程中心上海201306

为探究高水分稻谷含水率与其电学物理量之间的关系,探索电学物理量在高水分稻谷含水率快速检测方面的可行性,以高水分稻谷(含水率23.14%)为研究对象,利用LCR阻抗测试仪测定信号频率1~8 MHz下不同含水率稻谷的13个电学物理量。结果表明,... 详细信息

为探究高水分稻谷含水率与其电学物理量之间的关系,探索电学物理量在高水分稻谷含水率快速检测方面的可行性,以高水分稻谷(含水率23.14%)为研究对象,利用LCR阻抗测试仪测定信号频率1~8 MHz下不同含水率稻谷的13个电学物理量。结果表明,阻抗的相位角、损耗系数、介电常数和等效并联电容与稻谷含水率具有良好相关性。在1~8 MHz频率范围内,稻谷的阻抗的相位角和损耗系数均随着频率的增加呈先增大后减小趋势,介电常数和等效并联电容均随着频率的增加而增大。1 MHz频率下稻谷的等效并联电容与其含水率具有更好的相关性(R2=0.998)。通过对不同含水率稻谷的电学物理量进行研究,为开发一种利用电学物理量预测稻谷含水率的快速检测技术提供理论基础。

关键词：高水分稻谷含水率频率电学物理量回归模型分析

MDC-Net:a multi-directional constrained and prior assisted neural network for wood and leaf separation from terrestrial laser scanning

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International Journal of Digital Earth 2023年第1期16卷 1224-1245页

作者： Wenxia Dai Yiheng Jiang Wen Zeng Ruibo Chen yongyang xu Ningning Zhu Wen Xiao Zhen Dong Qingfeng Guan School of Geography and Information Engineering China University of GeosciencesWuhanPeople’s Republic of China Guangxi Zhuang Autonomous Region Institute of Natural Resources Remote Sensing NanningPeople’s Republic of China School of Computer Science China University of GeosciencesWuhanPeople’s Republic of China State Key Laboratory of Information Engineering in Surveying Mapping and Remote SensingWuhan UniversityWuhanPeople’s Republic of China National Engineering Research Center of Geographic Information System China University of GeosciencesWuhanPeople’s Republic of China

Wood-leaf separation from terrestrial laser scanning(TLS)is a crucial prerequisite for quantifying many biophysical properties and understanding ecological *** this study,we propose a novel multi-directional collaborative convolutional neural network(MDC-Net)that takes the original 3D coordinates and useful features from prior knowledge(prior features)as input,and outputs the semantic labels of TLS point *** MDC-Net contains two key units:(1)a multi-directional neighborhood construction(MDNC)unit to obtain more representative neighbors and enable directionally aware feature encoding in the subsequent local feature extraction,to mitigate occlusion effects;(2)a collaborative feature encoding(CFE)unit is introduced to incorporate useful features from prior knowledge into the network through a collaborative cross coding to enhance the discrimination for thin structures(*** branches and leaf).The MDC-Net is evaluated onfive plots from forests in Guangxi,China,with different branch architectures and leaf *** results showed that the MDC-Net achieved an OA of 0.973 and a mIoU of 0.821 and outperformed other related *** believe the MDC-Net would facilitate the usage of TLS in ecology studies for quantifying tree size and morphology and thus promote the development of relevant ecological applications.

关键词： Terrestrial laser scanning wood and leaf separation deep learning prior features

Genetic dissection of climacteric fruit ripening in a melon population segregating for ripening behavior

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Horticulture Research 2020年第1期7卷 459-476页

作者： Lara Pereira Miguel Santo Domingo Valentino Ruggieri Jason Argyris Michael A.Phillips Guangwei Zhao Qun Lian yongyang xu Yuhua He Sanwen Huang Marta Pujol Jordi Garcia-Mas Centre for Research in Agricultural Genomics(CRAG)CSIC-IRTA-UAB-UB Edifici CRAGCampus UAB08193 CerdanyolaBarcelonaSpain IRTA(Institut de Recerca i Tecnologia Agroalimentàries) Edifici CRAGCampus UAB08193 CerdanyolaBarcelonaSpain Department of Biology University of Toronto–MississaugaMississaugaON L5L 1C6Canada Zhengzhou Fruit Research Institute Chinese Academy of Agricultural SciencesZhengzhouChina Shenzhen Branch Guangdong Laboratory for Lingnan Modern AgricultureGenome Analysis Laboratory of the Ministry of AgricultureAgricultural Genomics Institute at ShenzhenChinese Academy of Agricultural SciencesShenzhenChina

Melon is as an alternative model to understand fruit ripening due to the coexistence of climacteric and non-climacteric varieties within the same species,allowing the study of the processes that regulate this complex trait with genetic *** phenotyped a population of recombinant inbred lines(RILs),obtained by crossing a climacteric(Védrantais,cantalupensis type)and a non-climcteric variety(Piel de Sapo T111,inodorus type),for traits related to climacteric maturation and ethylene *** in the RIL population exhibited various combinations of phenotypes that differed in the amount of ethylene produced,the early onset of ethylene production,and other phenotypes associated with *** characterized a major QTL on chromosome 8,ETHQV8.1,which is sufficient to activate climacteric ripening,and other minor QTLs that may modulate the climacteric *** ETHQV8.1 allele was validated by using two reciprocal introgression line populations generated by crossing Védrantais and Piel de Sapo and analyzing the ETHQV8.1 region in each of the genetic backgrounds.A Genome-wide association study(GWAS)using 211 accessions of the *** further identified two regions on chromosome 8 associated with the production of aromas,one of these regions overlapping with the 154.1 kb interval containing *** ETHQV8.1 region contains several candidate genes that may be related to fruit *** work sheds light into the regulation mechanisms of a complex trait such as fruit ripening.

关键词： behavior fruit reciprocal

The haplotype-resolved T2T reference genome highlights structural variation underlying agronomic traits of melon

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Horticulture Research 2023年第10期10卷 12-24页

作者： Guoli Li Lingli Tang Yuhua He yongyang xu Abdelhafid Bendahmane Jordi Garcia-Mas Tao Lin Guangwei Zhao National Key Laboratory for Germplasm Innovation&Utilization of Horticultural Crops Zhengzhou Fruit Research InstituteChinese Academy of Agricultural SciencesZhengzhouHenan 450009China China Agricultural University College of HorticultureBeijing 100193China National Nanfan Research Institute(Sanya) Chinese Academy of Agricultural SciencesSanyaHainan 572024China Zhongyuan Research Center Chinese Academy of Agricultural SciencesXinxiang 453400China Institute of Plant Sciences Paris-Saclay(IPS2) INRAECNRSUniversity of Paris-SaclayUniversity of EvryUniversity of Paris-DiderotGif sur Yvette 91192France Centre for Research in Agricultural Genomics(CRAG)CSIC-IRTA-UAB-UB Edifici CRAGCampus UABBellaterra08193 BarcelonaSpain Institut de Recerca i Tecnologia Agroalimentàries(IRTA) Edifici CRAGCampus UABBellaterra08193 BarcelonaSpain

Melon(Cucumis melo L.)is an important vegetable crop that has an extensive history of ***,the genome of wild and semi-wild melon types that can be used for the analysis of agronomic traits is not yet *** we report a chromosome-level T2T genome assembly for 821(*** *** ***),a semi-wild melon with two haplotypes of∼373 Mb and∼364 Mb,*** genome analysis discovered a significant number of structural variants(SVs)between melo(*** ***)and agrestis(*** ***)genomes,including a copy number variation located in the ToLCNDV resistance locus on chromosome ***-wide association studies detected a significant signal associated with climacteric ripening and identified one candidate gene CM_ac12g14720.1(CmABA2),encoding a cytoplasmic short chain dehydrogenase/reductase,which controls the biosynthesis of abscisic *** study provides valuable genetic resources for future research on melon breeding.

关键词： agronomic traits structural