检索结果-南通市图书馆

日本以农协为主推进智慧农业发展经验及对中国的启示

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

农业工程学报 2024年第8期40卷 299-310页

作者：胡鹤鸣王应宽李明芋生憲司海津裕古桥贤一张洪铎冈本凉佑黄金其东京大学农学生命科学研究科东京113-8657 农业农村部规划设计研究院中国农业工程学会北京100125 湖南省农业科学院农业装备研究所长沙410125 日本久保田公司东京104-0031 湖南省丘陵山地动力平台工程技术研究中心长沙410125 丘陵山区农机装备多功能动力平台湖南省工程研究中心长沙410125

日本农业面临严峻的农业人口老龄化与农业人口减少的问题,且以小型田块和山地耕地居多,农业劳作不便。为了解决上述问题,保障粮食供应,振兴地方经济,日本正大力发展智慧农业。日本农协协助制定了新的农业基本法以及农林水产信息化战略... 详细信息

日本农业面临严峻的农业人口老龄化与农业人口减少的问题,且以小型田块和山地耕地居多,农业劳作不便。为了解决上述问题,保障粮食供应,振兴地方经济,日本正大力发展智慧农业。日本农协协助制定了新的农业基本法以及农林水产信息化战略以支持农业的发展,并在农业机械自动化、农用信息系统、农村网络改造、农用航空、植物工厂等方面开展了大量的科技创新与应用,推动了日本现代农业的发展,日本以140.4万人且主体为老龄人口的核心农户实现了近1.3亿人口的主要粮食自给自足。日本农协多层级、多部门、全方位覆盖农业流程的服务,为智慧农业的落地助力。纵观日本智慧农业的发展历程与成效,借鉴其成功经验,对中国农业发展提出如下建议:应当创新农业体制机制,打通信息、人力、资源的流通渠道;优化农村营商环境,发挥好地方、高校、企业等不同主体的优势,立足乡村振兴角度对智慧农业技术进行长期的实证化研究;借鉴日本农协在农业生产、销售、推广、管理上的经验,因地制宜,积极探索,夯实根基,有助于推进中国乡村全面振兴,加快农业农村现代化和建设智慧农业强国。

关键词：智慧农业农业强国信息化农协人口老龄化乡村振兴日本

Design and performance test of a novel UAV air-assisted electrostatic centrifugal spraying system

维普期刊数据库

同方期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

International Journal of Agricultural and Biological Engineering 2022年第5期15卷 34-40页

作者： Heming Hu Yutaka Kaizu Jingjing Huang Kenichi Furuhashi Hongduo Zhang Xu Xiao Ming Li kenji imou Graduate School of Agricultural and Life Sciences the University of TokyoTokyo 113-0033Japan Hunan Agricultural Equipment Research Institute Changsha 410125China Hunan Advanced Engineering Technology Research Center for Agricultural Aviation Changsha 410125China Hunan Agricultural University Changsha 410128China

In order to improve the deposition and uniformity of the pesticide sprayed by the agricultural spraying drone,this study designed a novel spraying system,combining air-assisted spraying system with electrostatic ***,an air-assisted electrostatic centrifugal spray system was designed for agricultural spraying drones,including a shell,a diversion shell,and an electrostatic ***,experiments were conducted to optimize the setting of the main parameters that affect the charge-to-mass ratio,and outdoor spraying experiments were carried out on the spraying effect of the air-assisted electrostatic centrifugal spray *** results showed the optimum parameters were that the centrifugal rotation speed was 10000 r/min,the spray pressure was 0.3 MPa,the fan rotation speed was 14000 r/min,and the electrostatic generator voltage was 9 kV;The optimum charge-to-mass ratio of the spray system was 2.59 mC/*** average deposition density of droplets on the collecting platform was 366.1 particles/cm^(2) on the upper layer,345.1 particles/cm^(2) on the middle layer,and 322.5 particles/cm^(2) on the lower *** to the results of uncharged droplets on the upper,middle,and lower layers,the average deposition density was increased by 34.9%,30.4%,and 30.2%,respectively,and the uniformity of the distribution of the droplets at different collection points was better.

关键词： UAV spraying droplet drift centrifugal sprayer air-assisted spraying electrostatic spraying

Real-time monitoring of optimum timing for harvesting fresh tea leaves based on machine vision

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

International Journal of Agricultural and Biological Engineering 2019年第1期12卷 6-9页

作者： Liang Zhang Hongduo Zhang Yedong Chen Sihui Dai Xumeng Li kenji imou Zhonghua Liu Ming Li College of Engineering Hunan Agricultural UniversityChangsha 410128China College of Horticulture and Landscape Hunan Agricultural UniversityChangsha 410128China Agricultural College Hunan Agricultural UniversityChangsha 410128China Department of Biological and Environmental Engineering Graduate School of Agricultural and Life SciencesUniversity of TokyoTokyo 113-0033Japan School of Agricultural Engineering and Food Science Shandong University of TechnologyZibo 255000China Hunan Agricultural Aviation Advanced Technology Engineering Research Center Changsha 410129China

The harvesting time of fresh tea leaves has a significant impact on product yield and *** aim of this study was to propose a method for real-time monitoring of the optimum harvesting time for picking fresh tea leaves based on machine ***,the shapes of fresh tea leaves were distinguished from RGB images of the tea-tree canopy after graying with the improved B-G algorithm,filtering with a median filter algorithm,binary processing with the Otsu algorithm,and noise reduction and edge smoothing using open and close *** the leaf characteristics,such as leaf area index,average length,and leaf identification index,were *** on these,the Bayesian discriminant principle and method were used to construct a discriminant model for fresh tea-leaf collection *** this method was applied to a RGB tea-tree canopy image acquired at 45°shooting angle,the fresh tea-leaf recognition rate was 90.3%,and the accuracy for fresh tea-leaf harvesting status was 98%by cross ***,this method provides the basic conditions for future tea-plantation operation and management using information technology,automation,and intelligent systems.

关键词： agricultural machinery fresh tea leaves machine vision intelligent recognition real-time monitoring

Recognition and localization of strawberries from 3D binocular cameras for a strawberry picking robot using coupled YOLO/Mask R-CNN

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

International Journal of Agricultural and Biological Engineering 2022年第6期15卷 175-179页

作者： Heming Hu Yutaka Kaizu Hongduo Zhang Yongwei Xu kenji imou Ming Li Jingjing Huang Sihui Dai Graduate School of Agricultural and Life Sciences the University of TokyoTokyo 113-0033Japan Hunan Agricultural Equipment Research Institute ChangshaHunan 410125China College of Horticulture Hunan Agricultural UniversityChangshaHunan 410128China

To solve the problem of high labour costs in the strawberry picking process,the approach of a strawberry picking robot to identify and find strawberries is suggested in this ***,1000 images including mature,immature,single,multiple,and occluded strawberries were collected,and a two-stage detection Mask R-CNN instance segmentation network and a one-stage detection YOLOv3 target detection network were used to train a strawberry identification model which classified strawberries into two categories:mature and *** accuracy ratings for YOLOv3 and Mask R-CNN were 93.4%and 94.5%,***,the ZED stereo camera,triangulation,and a neural network were used to locate the strawberry in three ***3 identification accuracy was 3.1 mm,compared to Mask R-CNN of 3.9 *** strawberry detection and positioning method proposed in this study may effectively be used to supply the picking robot with a precise location of the ripe strawberry.

关键词： strawberry detection 3D point cloud mean-shift clustering method

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

农业机械全方位视觉定位系统的定位算法

农业工程学报 2013年第2期29卷 52-59页

作者：李明 kenji imou 刘仲华吴畏李军政吴彬湖南农业大学工学院长沙410128 国家植物功能成分工程技术研究中心长沙410128 湖南省现代农业装备工程技术研究中心长沙410128 日本东京大学生物环境机械工学研究室

农业机械全方位视觉定位系统根据标识方位角角度估算传感器相对于标识坐标系的绝对位置,包括系统校正、除噪、标识特征提取、方位角度估算和定位算法,其中定位算法是实现农业机械全方位视觉定位系统的关键部分。该文主要研究了4个标识和... 详细信息

农业机械全方位视觉定位系统根据标识方位角角度估算传感器相对于标识坐标系的绝对位置,包括系统校正、除噪、标识特征提取、方位角度估算和定位算法,其中定位算法是实现农业机械全方位视觉定位系统的关键部分。该文主要研究了4个标识和3个标识的定位算法,并通过室外30m×30m平地上的定点试验和传感器倾斜试验验证定位精度及传感器倾斜对定位精度的影响。试验结果表明,试验点坐标的估算值与实测值之间距离的均方根误差与平均绝对误差分别为14.75和14.06cm,最大绝对误差为25.72cm;倾斜角度越大,对定位精度的影响越大。研究表明本文定位算法是可行的,且算法简单、运行速度快;实用中当传感器倾斜角度大于5°或者凹凸不平明显的作业环境中,有必要考虑传感器倾斜造成的定位误差的补偿。

关键词：农业机械定位传感器导航

A New Agricultural Vehicle Localization System

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

A New Agricultural Vehicle Localization System