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Panicle-Cloud:An Open and Al-Powered Cloud Computing Platform for Quantifying Rice Panicles from Drone-Collected Imagery to Enable the Classification of Yield Production in Rice

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Plant Phenomics 2023年第4期5卷 905-916页

作者： Zixuan Teng Jiawei Chen Jian Wang Shuixiu Wu Riqing Chen Yaohai Lin Liyan Shen Robert Jackson Ji Zhou changcai yang Digital Fujian Research Institute of Big Data for Agriculture and Forestry College of Computer and Information SciencesFujian Agriculture and Forestry UniversityFuzhou 350002China State Key Laboratory of Crop Genetics&Germplasm Enhancement academy for Advanced Interdisciplinary StudiesNanjing Agricultural UniversityNanjing 210095China Ningxia Academy of Agriculture and Forestry Sciences Yinchuan 750002China College of Mechanical and Electrical Engineering Fujian Agriculture and Forestry UniversityFuzhou 350002China Cambridge Crop Research National Institute of Agricultural Botany(NIAB)Cambridge CB3 OLEUK Key Laboratory of Smart Agriculture and Forestry(Fujian Agriculture and Forestry University) Fujian Province UniversityFuzhou 350002China Center for Agroforestry Mega Data Science School of Future TechnologyFujian Agriculture and Forestry UniversityFuzhou 350002China

Rice(Oryza sativa)is an essential stable food for many rice consumption nations in the world and,thus,the importance to improve its yield production under global climate *** evaluate different rice varieties'yield performance,key yield-related traits such as panicle number per unit area(PNpM^(2))are key indicators,which have attracted much attention by many plant research ***,it is still challenging to conduct large-scale screening of rice panicles to quantify the PNpM^(2)trait due to complex field conditions,a large variation of rice cultivars,and their panicle morphological ***,we present Panicle-Cloud,an open and artificial intelligence(AI)-powered cloud computing platform that is capable of quantifying rice panicles from drone-collected *** facilitate the development of Al-powered detection models,we first established an open diverse rice panicle detection dataset that was annotated by a group of rice specialists;then,we integrated several state-of-the-art deep learning models(including a preferred model called Panicle-AI)into the Panicle-Cloud platform,so that nonexpert users could select a pretrained model to detect rice panicles from their own aerial *** trialed the Al models with images collected at different attitudes and growth stages,through which the right timing and preferred image resolutions for phenotyping rice panicles in the field were ***,we applied the platform in a 2-season rice breeding trial to valid its biological relevance and classified yield production using the platform-derived PNpM^(2)trait from hundreds of rice *** correlation analysis between computational analysis and manual scoring,we found that the platform could quantify the PNpM^(2)trait reliably,based on which yield production was classified with high ***,we trust that our work demonstrates a valuable advance in phenotyping the PNpM^(2)trait in rice,which provides a useful toolkit to enable rice br

关键词： breeding cultivar hundreds

Simultaneous determination of five plant hormones in cotton leaves using QuEChERS combined with HPLC‒MS/MS

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Journal of Cotton Research 2024年第2期7卷 163-176页

作者： WANG Wenhao SONG Xianpeng WANG Dan MA Yajie SHAN Yongpan REN Xiangliang HU Hongyan WU changcai yang Jun MA Yan National Key Laboratory of Cotton Biobreeding and Integrated Utilization Institute of Cotton ResearchChinese Academy of Agricultural SciencesAnyangHenan 455000China College of Agriculture Hebei Agricultural UniversityBaodingHebei 071000China Zhengzhou Research Base National Key Laboratory of Cotton Biobreeding and Integrated UtilizationZhengzhou UniversityZhengzhouHenan 450001China Western Agricultural Research Center Chinese Academy of Agricultural SciencesChangjiXinjiang 831100China

Background Plant hormones profoundly influence cotton growth,development,and responses to various ***,there is a pressing need for an efficient assay to quantify these hormones in *** this groundbreaking study,we have established QuEChERS-HPLC‒MS/MS method,for the simultaneous detection of multiple plant hormones in cotton leaves,allowing the analysis and quantification of five key plant *** Sample extraction and purification employed 0.1%acetic acid in methanol and C18 for optimal recovery of plant *** method applied to cotton demonstrated excellent linearity across a concentration range of 0.05–1 mg・L−1,with linear regression coefficients exceeding *** limits of quantification(LOQs)were 20μg・kg−1 for GA3 and 5μg・kg−1 for the other four plant *** rates for the five plant hormones matrix spiked at levels of 5,10,100,and 1000μg・kg−1 were in the range of 79.07%to 98.97%,with intraday relative standard deviations(RSDs)ranging from 2.11%to 8.47%.The method was successfully employed to analyze and quantify the five analytes in cotton leaves treated with plant growth *** The study demonstrates that the method is well-suited for the determination of five plant hormones in *** exhibits excellent selectivity and sensitivity in detecting field samples,thus serving as a robust tool for indepth research into cotton physiology.

关键词： Cotton Plant hormones QuEChERS HPLC‒MS/MS

Efficient Image Stitching in the Presence of Dynamic Objects and Structure Misalignment

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Journal of Signal and Information Processing 2011年第3期2卷 205-210页

作者： Chao Tao Hanqiu Sun changcai yang Jinwen Tian 不详

This paper presents a new method for simultaneously eliminating visual artifacts caused by moving objects and structure misalignment in image stitching. Given that the input images are roughly aligned, our approach is implemented in two stages. In the first stage, we discover motions between input images, and then extract their corresponding regions through a multi-seed based region growing algorithm. In the second stage, with prior information provided by the extracted regions, we perform a graph cut optimization in gradient-domain to determine which pixels to use from each image to achieve seamless stitching. Our method is simple to implement and effective. The experimental results illustrate that the proposed approach can produce comparable or superior results in comparison with state-of-the-art methods.

关键词： Image Stitching Motion Estimate Region Growing Graph Cut

Classification of Rice Yield Using UAV-Based Hyperspectral Imagery and Lodging Feature

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Plant Phenomics 2021年第1期3卷 115-128页

作者： Jian Wang Bizhi Wu Markus VKohnen Daqi Lin changcai yang Xiaowei Wang Ailing Qiang Wei Liu Jianbin Kang Hua Li Jing Shen Tianhao Yao Jun Su Bangyu Li Lianfeng Gu Institute of Crop Sciences Ningxia Academy of Agriculture and Forestry ScienceYinchuanNingxia 750105China Basic Forestry and Proteomics Research Center College of ForestryFujian Agriculture and Forestry UniversityFuzhou 350002China State Key Laboratory of Marine Environmental Science Xiamen UniversityChina Digital Fujian Institute of Big Data for Agriculture and Forestry Key Laboratory of Smart Agriculture and ForestryFujian Agriculture and Forestry UniversityFuzhou 350002China Seed Workstations of the Ningxia Hui Autonomous Region YinchuanNingxia 750004China Aerospace Information Research Center Institute of AutomationChinese Academic ScienceBeijing 100190China

High-yield rice cultivation is an effective way to address the increasing food demand *** classification of high-yield rice is a key step of ***,manual measurements within breeding programs are time consuming and have high cost and low throughput,which limit the application in large-scale field *** this study,we developed an accurate large-scale approach and presented the potential usage of hyperspectral data for rice yield measurement using the XGBoost algorithm to speed up the rice breeding process for many *** total,13 japonica rice lines in regional trials in northern China were divided into different categories according to the manual measurement of *** an Unmanned Aerial Vehicle(UAV)platform equipped with a hyperspectral camera to capture images over multiple time series,a rice yield classification model based on the XGBoost algorithm was *** comparison experiments were carried out through the intraline test and the interline test considering lodging characteristics at the midmature stage or *** result revealed that the degree of lodging in the midmature stage was an important feature affecting the classification accuracy of ***,we developed a low-cost,high-throughput phenotyping and nondestructive method by combining UAV-based hyperspectral measurements and machine learning for estimation of rice yield to improve rice breeding efficiency.

关键词： breeding equipped consuming

基于联合深度网络和形态结构约束的三维医学图像分割方法

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中国生物医学工程学报 2023年第1期42卷 30-40页

作者：李军叶欣怡杨长才陈秋凤薛岚燕魏丽芳福建农林大学计算机与信息学院福州350002

医学图像自动分割具有广泛和重要临床应用价值,特别是病灶、脏器的自动分割。基于传统图像处理方法的医学图像分割仅能利用浅层结构模型的浅层特征来识别感兴趣区域,并且需要大量人工干预。而基于机器学习的分割方法在模型建模时存在局... 详细信息

医学图像自动分割具有广泛和重要临床应用价值,特别是病灶、脏器的自动分割。基于传统图像处理方法的医学图像分割仅能利用浅层结构模型的浅层特征来识别感兴趣区域,并且需要大量人工干预。而基于机器学习的分割方法在模型建模时存在局限性且缺乏可解释性。本研究提出一种基于Transformer和卷积神经网络结合形态结构约束的三维医学图像分割方法。编码器中利用卷积神经网络和Transformer构建U型网络结构提取多重特征;解码器中采用上采样并通过跳跃连接将不同层次的特征拼接在一起;加入形态结构约束模块,通过提取病灶和脏器等分割目标的形状信息,以增强模型可解释性,并采用最大池化和平均池化操作,对经过卷积神经网络得到的结果进一步提取有代表性的特征,作为形态结构模块的输入,最终提高分割结果的准确性。在公开数据集Synapse和ACDC上利用评价指标Dice相似系数(DSC)和Hausdorff距离(HD)验证所提出算法的有效性。其中,在Synapse数据集上,18例数据作为训练集,12例数据作为测试集;在ACDC数据集上,70例数据作为训练集,10例数据作为验证集,20例数据作为测试集。实验结果表明,在Synapse上使用不同的优化器的Dice相似系数(DSC)和HD均值可以达到76.67%和25.18 mm(SGD优化器)及82.80%和21.07 mm(Adam优化器);在ACDC上不同的优化器的DSC可以达到90.65%(SGD优化器)及91.75%(Adam优化器),与其他方法相比具有一定的优势。所提出的方法对三维医学图像分割中的错分割问题有所改善,并提高了图像分割任务的性能。

关键词：三维医学图像图像分割 Transformer 卷积神经网络形态结构约束

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面向复杂立体石雕的机器人面扫描视点规划

机械工程学报 2024年第8期60卷 22-33页

作者：秦光林崔长彩尹方辰黄辉华侨大学制造工程研究院厦门361021 石材产业高端制造技术及装备省部共建协同创新中心厦门361021 南安华大石材产业技术研究院泉州362261

目前,在机器人石雕环节缺少对工件表面的质量检测,无法保证后续的机器人磨抛精度,从而导致产品报废。因此,提出了一种基于截面线点云的机器人面扫描视点规划新方法,并将其应用在复杂立体石雕自动化测量中。首先,采用单因素试验和中心组... 详细信息

目前,在机器人石雕环节缺少对工件表面的质量检测,无法保证后续的机器人磨抛精度,从而导致产品报废。因此,提出了一种基于截面线点云的机器人面扫描视点规划新方法,并将其应用在复杂立体石雕自动化测量中。首先,采用单因素试验和中心组合设计响应面法确定最优扫描工艺参数。其次,利用最小外接圆柱确定截面线数量,并探究截面线不同采样方式对扫描质量的影响,选取等弧长采样获得扫描视点,通过向量叉乘和分离轴理论对扫描视点进行遮挡和碰撞检测,对存在遮挡与碰撞的视点进行优化,针对扫描过程中由于频繁变换扫描方向导致扫描效率降低的问题,提出了一种生长聚类算法优化扫描方向。此外,为了保证整个扫描过程的连续性,在两相邻扫描路径之间引入旋转扫描。最后,进行了弥勒佛(260 mm×210 mm×560 mm)扫描视点规划和测量试验,结果表明,整体扫描耗时152 s,扫描完整性100%,扫描精度0.26 mm。所提方法能快速完成复杂立体石雕的三维扫描,采用规划视点扫描的模型完整性好、精度高,能够满足复杂立体石雕自动化测量要求。

关键词：复杂立体石雕机器人面扫描最优扫描工艺视点规划旋转扫描

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库岸复杂滑坡体形成机制的数值分析

自然灾害学报 2015年第2期24卷 74-80页

作者：肖拥军邓敏杨昌才湖南科技大学土木工程学院湖南湘潭411201

三峡库区黄土坡滑坡已历经了几十年的勘察,但对其复杂滑体结构的成因机制仍有待研究。论文从分析黄土坡滑坡体I号崩滑体的原岩结构特征及岩体风化泥化过程入手,通过数值模拟研究了斜坡发育过程中滑坡的演化机制。模拟结果表明,斜坡表层... 详细信息

三峡库区黄土坡滑坡已历经了几十年的勘察,但对其复杂滑体结构的成因机制仍有待研究。论文从分析黄土坡滑坡体I号崩滑体的原岩结构特征及岩体风化泥化过程入手,通过数值模拟研究了斜坡发育过程中滑坡的演化机制。模拟结果表明,斜坡表层拉应力的分布及深部夹层剪应力的集中有利于岩体的风化泥化。数值分析结果较好地解析了黄土坡滑坡复杂滑体结构的形成机制,指出前缘断层发育与斜坡岩体深部夹层泥化是其形成演化的关键因数。数值分析也表明三峡水库蓄水对滑坡整体稳定性的影响较大,模拟结果还表明,潜在滑带由深部泥化夹层控制。

关键词：黄土坡滑坡滑体结构演化机制数值模拟

红层砂岩纳米级致色剂赋存状态及地质意义——以鄂尔多斯盆地下白垩统志丹群红层砂岩为例

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地质学报 2024年第6期98卷 1803-1813页

作者：马勇杨程宇蔡超秦长彩张朝辉李磊钟宁宁中国石油大学(北京)油气资源与工程全国重点实验室北京102249 中国石油辽河油田公司勘探开发研究院辽宁盘锦124010 内蒙古煤炭建设工程(集团)总公司内蒙古呼和浩特010090

红层是地球上广泛分布且具有特定指示环境意义的沉积物,一般认为在水体氧化环境下形成的赤铁矿胶结物是其主要致色矿物。目前,针对红层致色矿物的研究多停留在矿物识别层面,缺乏对其微观赋存状态及成因机制的深入研究。本文以鄂尔多斯... 详细信息

红层是地球上广泛分布且具有特定指示环境意义的沉积物,一般认为在水体氧化环境下形成的赤铁矿胶结物是其主要致色矿物。目前,针对红层致色矿物的研究多停留在矿物识别层面,缺乏对其微观赋存状态及成因机制的深入研究。本文以鄂尔多斯盆地下白垩统志丹群陆相红层为例,采用岩芯-薄片-阴极发光-氩离子抛光扫描电镜的多尺度表征技术,首次揭示了红层砂岩纳米级致色剂——赤铁矿胶结物的微观赋存状态,并在此基础重新探讨了其成因机制。研究发现,红层砂岩致色剂赤铁矿胶结物主要为针状或片状,具有两种微观赋存状态:①呈包裹型发育在净砂岩的颗粒周缘,单个矿物颗粒长度在500~1000nm之间,宽度在50nm以下;②呈充填型发育在黏土矿物及云母等矿物颗粒的解理缝中,常常顺解理定向排列,受解理缝空间限制,单个矿物颗粒更小,长度一般小于500nm,宽度在30nm以下。红层砂岩中赤铁矿的产状和赋存状态表明其为褐铁矿早期脱水形成,在此之后又发育两期方解石胶结物,因此赤铁矿胶结物应主要形成于沉积和浅埋藏期,而非沉积后的抬升期。砂岩中赤铁矿胶结物的形成过程指示了一个干旱内陆沉积背景下大气水氧含量高的环境特征,这同样也是地质历史时期内的冰室状态,说明鄂尔多斯盆地下白垩统志丹群的红层砂岩对研究该时期全球冰室状态也具有重要启示意义。

关键词：赤铁矿胶结物红层砂岩志丹群鄂尔多斯盆地

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湖北省农村居民抑郁、焦虑和失眠情况及其影响因素分析

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中华疾病控制杂志 2024年第7期28卷 815-820,826页

作者：杜冰雪张玲朱长才王雷李旦武汉科技大学公共卫生学院环境卫生与职业医学系武汉430065 湖北省疾病预防控制中心武汉430079

目的了解湖北省农村居民的抑郁、焦虑和失眠情况及其影响因素,为采取针对性干预措施提供科学依据。方法2021年10月―2022年2月,采用多阶段随机抽样方法,应用患者健康问卷抑郁量表(patient health questionnaire-9,PHQ-9)、广泛性焦虑量... 详细信息

目的了解湖北省农村居民的抑郁、焦虑和失眠情况及其影响因素,为采取针对性干预措施提供科学依据。方法2021年10月―2022年2月,采用多阶段随机抽样方法,应用患者健康问卷抑郁量表(patient health questionnaire-9,PHQ-9)、广泛性焦虑量表(generalized anxiety scale,GAD-7)和失眠严重指数量表(insomnia severity index,ISI)调查湖北省25个县(市、区)7212名农村居民抑郁、焦虑和失眠的发生情况;采用多因素logistic回归分析模型分析,研究抑郁、焦虑和失眠情况的影响因素。结果湖北省农村居民的抑郁、焦虑和失眠的筛查阳性率分别为3.6%(95%CI:3.1%~4.0%)、2.3%(95%CI:2.0%~2.7%)、14.8%(95%CI:14.0%~15.7%)。多因素logistic回归分析模型分析结果显示,患慢性病、健康状况不佳、居住非武汉市为湖北省农村居民抑郁和焦虑的共同危险因素,其中患慢性病对抑郁和焦虑的OR(95%CI)分别为2.8(2.0~4.0)和1.8(1.2~1.7)、健康状况不佳的OR(95%CI)分别为4.5(3.4~5.9)和4.5(3.2~6.3)、居住非武汉市的OR(95%CI)分别为3.1(2.1~4.7)和2.0(1.3~3.0)。患慢性病、健康状况不佳、女性和非已婚状态为失眠的危险因素,OR(95%CI)分别为2.4(2.0~2.8)、2.9(2.5~3.4)、1.5(1.3~1.7)、1.3(1.1~1.5)(均P<0.05)。结论湖北省农村居民具有一定程度的抑郁、焦虑和失眠筛查阳性率;需重点加强对患慢性病、健康状况不佳、女性、非已婚状态等人群的心理干预,促进农村居民身心健康。

关键词：农村居民抑郁焦虑失眠影响因素