International Journal of Agricultural and Biological Engineering最新文献_第6页

Posture-invariant hybrid scaling weight measurement algorithm for live eels 活鳗鱼姿态不变混合标度权重测量算法

IF 2.4 2区农林科学

International Journal of Agricultural and Biological Engineering Pub Date : 2023-01-01 DOI: 10.25165/j.ijabe.20231602.7132

Qing Liu, Yuxing Han, Guoqi Yan, J. Mo, Zishang Yang

引用次数: 0

Analysis and performance test on dynamic seed corn threshing and conveying process with variable diameter and spacing 变径变间距动态玉米种子脱粒输送过程分析及性能试验

IF 2.4 2区农林科学

International Journal of Agricultural and Biological Engineering Pub Date : 2023-01-01 DOI: 10.25165/j.ijabe.20231602.7741

Fei Dai, Yuanxiang Liu, Ruijie Shi, Yiming Zhao, Shanglong Xin, Qiufeng Fu, Wuyun Zhao

{"title":"Analysis and performance test on dynamic seed corn threshing and conveying process with variable diameter and spacing","authors":"Fei Dai, Yuanxiang Liu, Ruijie Shi, Yiming Zhao, Shanglong Xin, Qiufeng Fu, Wuyun Zhao","doi":"10.25165/j.ijabe.20231602.7741","DOIUrl":"https://doi.org/10.25165/j.ijabe.20231602.7741","url":null,"abstract":": In order to further reduce the damage rate in threshing seed corn, a seed corn threshing testbed with variable diameter and spacing that can realize dynamic adjustment of parameters, such as feed quantity, rotating speed of the threshing device, threshing spacing of the threshing units, was designed in this research. The software of finite element analysis ANSYS Workbench was applied to do modal analysis on the threshing axis designed for variable diameter and spacing of seed corn. The first 8 orders of natural frequencies were distributed in 201.12-1640.20 Hz, with corresponding vibration amplitude in 5.86-27.04 mm, showing reasonable structural design of the threshing axis, which could realize effective seed corn threshing and conveying. Discrete element method was applied to do simulation analysis on the seed corn threshing and conveying process with variable diameter and spacing. Under the condition of different feed quantity, different rotating speed of the thresher, the moving speed of corn clusters and contact force among clusters were measured through simulation, and the working characteristics of the threshing testbed for low-damage and dynamic threshing and conveying of seed corn with variable diameter and spacing were revealed. Working performance test results of the testbed of seed corn with variable diameter and spacing showed that, when the rotating speed of the threshing axis was 190-290 r/min, feed quantity was 1.80-3.80 kg/s, the damage rate of seed corn was 0.32%-0.63%, threshing rate was 99.20%-99.82%, and content impurity rate was 4.23%-5.86%, the mass of threshed corn grains first increased and then decreased along the axial direction. The test verification process was in line with the simulation results; thus, the test results could satisfy the requirements in design and actual operation.","PeriodicalId":13895,"journal":{"name":"International Journal of Agricultural and Biological Engineering","volume":"33 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88279331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Effect of temperature on the leaching of heavy metals from nickel mine tailings in the arctic area, Norway 温度对挪威北极镍矿尾矿中重金属浸出的影响

IF 2.4 2区农林科学

International Journal of Agricultural and Biological Engineering Pub Date : 2023-01-01 DOI: 10.25165/j.ijabe.20231602.7216

S. Fu, Jin-Quan Lu, I. Walder, Daishe Wu

{"title":"Effect of temperature on the leaching of heavy metals from nickel mine tailings in the arctic area, Norway","authors":"S. Fu, Jin-Quan Lu, I. Walder, Daishe Wu","doi":"10.25165/j.ijabe.20231602.7216","DOIUrl":"https://doi.org/10.25165/j.ijabe.20231602.7216","url":null,"abstract":": The leaching of heavy metals from tailings deposit due to the oxidation of sulphidic tailings and formation of acidic leachate is considered a high risk to the surrounding environment. Temperature plays an important role in the leaching of heavy metals from tailings in changing acid-based environment, especially in the Arctic area. To investigate how the temperature variation affected metal release from tailings in the Arctic area, a series of column leaching experiments was conducted under four temperature situations (5°C, 10°C, 14°C and 18°C). Physicochemical properties, Fe, Zn, Ni and Mn concentrations of leachates at each cycle were measured, and multivariate statistical analysis was applied to research the effect of temperature on heavy metals leaching from tailings in the Arctic area. The results showed that higher temperatures encouraged tailings to oxidation and sulfuration of and promoted heavy metal release from the tailings through precipitation and erosion. Ni, Zn and Mn have similar releasing resources from tailings and positive correlation in the leaching activity. Rising temperature accelerated Fe leaching; Fe leaching promoted leaching of the other metals, especially of Mn. Appropriately increase temperature will accelerate oxidization and sulfidization of the tailings, promote acid generation and increase TDS and, finally, promote the release of heavy metals. Climate change, with rising temperatures increasing the risk of heavy metals leaching from the tailings, should be given greater attention. Keeping tailings away from the appropriate temperature and in a higher alkalinity is a good method to control the leaching of heavy metals from tailings.","PeriodicalId":13895,"journal":{"name":"International Journal of Agricultural and Biological Engineering","volume":"10 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81630699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Review of deep learning-based weed identification in crop fields 基于深度学习的作物田间杂草识别研究进展

2区农林科学

International Journal of Agricultural and Biological Engineering Pub Date : 2023-01-01 DOI: 10.25165/j.ijabe.20231604.8364

Wenze Hu, Samuel Oliver Wane, Junke Zhu, Dongsheng Li, Qing Zhang, Xiaoting Bie, Yubin Lan

{"title":"Review of deep learning-based weed identification in crop fields","authors":"Wenze Hu, Samuel Oliver Wane, Junke Zhu, Dongsheng Li, Qing Zhang, Xiaoting Bie, Yubin Lan","doi":"10.25165/j.ijabe.20231604.8364","DOIUrl":"https://doi.org/10.25165/j.ijabe.20231604.8364","url":null,"abstract":"Automatic weed identification and detection are crucial for precision weeding operations. In recent years, deep learning (DL) has gained widespread attention for its potential in crop weed identification. This paper provides a review of the current research status and development trends of weed identification in crop fields based on DL. Through an analysis of relevant literature from both within and outside of China, the author summarizes the development history, research progress, and identification and detection methods of DL-based weed identification technology. Emphasis is placed on data sources and DL models applied to different technical tasks. Additionally, the paper discusses the challenges of time-consuming and laborious dataset preparation, poor generality, unbalanced data categories, and low accuracy of field identification in DL for weed identification. Corresponding solutions are proposed to provide a reference for future research directions in weed identification. Keywords: deep learning, weed detection, weed classiﬁcation, image segmentation, Convolutional Neural Network, image processing DOI: 10.25165/j.ijabe.20231604.8364 Citation: Hu W Z, Wane S O, Zhu J K, Li D S, Zhang Q, Bie X T, et al. Review of deep learning-based weed identification in crop fields. Int J Agric & Biol Eng, 2023; 16(4): 1-10.","PeriodicalId":13895,"journal":{"name":"International Journal of Agricultural and Biological Engineering","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135660077","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Experiment and parameter optimization of an automatic row following system for the traction beet combine harvester 牵引式甜菜联合收割机自动行跟系统试验及参数优化

IF 2.4 2区农林科学

International Journal of Agricultural and Biological Engineering Pub Date : 2023-01-01 DOI: 10.25165/j.ijabe.20231601.7245

Shenying Wang, Xuemei Gao, Zhao You, Baoliang Peng, Huichang Wu, Zhichao Hu, Yongwei Wang

引用次数: 1

Characteristics and mathematical models of the thin-layer drying of paddy rice with low-pressure superheated steam 低压过热蒸汽对水稻薄层干燥的特性及数学模型

IF 2.4 2区农林科学

International Journal of Agricultural and Biological Engineering Pub Date : 2023-01-01 DOI: 10.25165/j.ijabe.20231601.7810

Yan Li, G. Che, Lin Wan, Qilin Zhang, Tianqi Qu, F. Zhao

引用次数: 0

Effects of geotextile envelope and perforations on the performance of corrugated drain pipes 土工布包壳和穿孔对波纹排水管性能的影响

IF 2.4 2区农林科学

International Journal of Agricultural and Biological Engineering Pub Date : 2023-01-01 DOI: 10.25165/j.ijabe.20231601.7574

Haoyu Yang, J. Wu, Chenyao Guo, Hang Li, Zhe Wu

引用次数: 0

Estimating the air exchange rates in naturally ventilated cattle houses using Bayesian-optimized GBDT 利用贝叶斯优化GBDT估计自然通风牛舍的空气交换率

IF 2.4 2区农林科学

International Journal of Agricultural and Biological Engineering Pub Date : 2023-01-01 DOI: 10.25165/j.ijabe.20231601.7309

Luyu Ding, L. E, Yang Lyu, Chunxia Yao, Qifeng Li, Shiwei Huang, Weihong Ma, Ligen Yu, Ronghua Gao

引用次数: 1

Research advance in phenotype detection robots for agriculture and forestry 农林表型检测机器人的研究进展

IF 2.4 2区农林科学

International Journal of Agricultural and Biological Engineering Pub Date : 2023-01-01 DOI: 10.25165/j.ijabe.20231601.7945

Yuanqiao Wang, Jiangchuan Fan, Shuan Yu, Shuangze Cai, Xinyu Guo, Chunjiang Zhao

引用次数: 1

Effect of vacuum negative pressure aerobic hydrolysis pretreatment on corn stover anaerobic fermentation 真空负压好氧水解预处理对玉米秸秆厌氧发酵的影响

IF 2.4 2区农林科学

International Journal of Agricultural and Biological Engineering Pub Date : 2023-01-01 DOI: 10.25165/j.ijabe.20231602.7975

Yonghua Xu, Yunong Song, Hao Jiang, Hongqiong Zhang, Yong Sun

引用次数: 0