Biosystems Engineering最新文献_第5页

Numerical analysis of fertiliser motion characteristics and performance testing of a centrifugal precision fertilisation device 离心精密施肥装置肥料运动特性数值分析及性能试验

IF 5.3 1区农林科学

Biosystems Engineering Pub Date : 2025-07-30 DOI: 10.1016/j.biosystemseng.2025.104246

Jianxin Dong , Xiaojun Gao , Jingtao Wu , Zhengdao Liu , Jiang Li , Zuoli Fu , Yuxiang Huang

{"title":"Numerical analysis of fertiliser motion characteristics and performance testing of a centrifugal precision fertilisation device","authors":"Jianxin Dong , Xiaojun Gao , Jingtao Wu , Zhengdao Liu , Jiang Li , Zuoli Fu , Yuxiang Huang","doi":"10.1016/j.biosystemseng.2025.104246","DOIUrl":"10.1016/j.biosystemseng.2025.104246","url":null,"abstract":"<div><div>Point fertilisation can effectively reduce fertilisation amount and advance sustainable agricultural development compared with conventional strip fertilisation. This study involves the design of a novel centrifugal fertilisation device using centrifugal force to fill and discharge fertiliser for precision point fertilisation. The structural design and theoretical analysis of the crucial components were conducted and the principal factors influencing the effectiveness of point fertilisation were identified. A comprehensive phenomenological investigation and quantitative analysis of the different working stages of the device were conducted via discrete element method (DEM) simulation to reveal the interaction between dispenser edges and fertiliser, and a two-factor experiment was conducted to determine and validate the optimal working parameters of the device. The results demonstrated that the diagonal-shaped dispenser exhibits a better effect on filling, delivering, and discharging fertilisers than the curved and folded shapes. At a working speed of 5 km·h<sup>−1</sup> and a fertiliser point-applied mass of 4 g, the device achieved the optimal effect of point fertilisation. The device was tested under optimal working conditions in five replications. The average distribution length of fertiliser ranged from 9.3 cm to 9.8 cm, and the coefficient of variation of the fertiliser point-applied mass ranged from 3.4 % to 3.6 %, with mean values of 9.5 cm and 3.5 %, respectively. Under the same distribution density of fertiliser, the centrifugal fertilisation device saved about 61.8 % of the fertiliser compared to the grooved wheel fertilisation device when covering the same fertilisation area. This study provides a theoretical and technical reference for point fertilisation implementation.</div></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":"257 ","pages":"Article 104246"},"PeriodicalIF":5.3,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144738865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

Development of a LiDAR-based framework for obstacle identification and mapping in orchard environments 基于激光雷达的果园环境障碍物识别和测绘框架的开发

IF 5.3 1区农林科学

Biosystems Engineering Pub Date : 2025-07-29 DOI: 10.1016/j.biosystemseng.2025.104245

Luke Toroitich Rottok , Jun Zhou , Yundong Wang , Jiang Zizhen , Tamiru Tesfaye Gemechu , Tabinda Naz Syed , Muhammad Aurangzaib , Mercyline Chepkemoi

{"title":"Development of a LiDAR-based framework for obstacle identification and mapping in orchard environments","authors":"Luke Toroitich Rottok , Jun Zhou , Yundong Wang , Jiang Zizhen , Tamiru Tesfaye Gemechu , Tabinda Naz Syed , Muhammad Aurangzaib , Mercyline Chepkemoi","doi":"10.1016/j.biosystemseng.2025.104245","DOIUrl":"10.1016/j.biosystemseng.2025.104245","url":null,"abstract":"<div><div>The motion of a robot in the orchard environment is based on the identification of obstacles in the orchard environment. To achieve this, the robot should identify the obstacles and navigate away from such obstacles. This study proposes a method using LiDAR data to identify obstacles and process the location of all the obstacles. The method comprises of three key components: identification and segmentation of apple canopy features, identification of obstacles and trunks, mapping of the location of all obstacles and trunks. Firstly, the canopy features are identified based on the criteria; height, density and intensity. The identified canopy is bounded by voxels that delineate the boundaries of the canopy. Secondly, the obstacles and trunks are mapped, resulting in a guideline for the navigation of the orchard robot. The experimental results show that the canopy feature removal reduced processing time by 63.7 % compared to processing the full point cloud and was 42.3 % faster than Euclidean clustering method, significantly lowering computational demands. The mapping of trunks achieved an accuracy of 92.3 % by locating all the positions of the apple trunks. The experimental results yielded an average mapping error of 0.034m. The proposed algorithm in this study generates an orchard map of trunk features enabling precision agriculture applications such as yield prediction which is achieved through trunk canopy correlation and autonomous navigation.</div></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":"257 ","pages":"Article 104245"},"PeriodicalIF":5.3,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144721703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

The design and use of an optical punch for maize kernel internal crack detection 玉米籽粒内部裂纹检测光学冲孔的设计与使用

IF 4.4 1区农林科学

Biosystems Engineering Pub Date : 2025-07-26 DOI: 10.1016/j.biosystemseng.2025.104242

Zebang Zhou , Nathan Gasteyer , Zhengpu Chen , R.P. Kingsly Ambrose , Carl Wassgren

{"title":"The design and use of an optical punch for maize kernel internal crack detection","authors":"Zebang Zhou , Nathan Gasteyer , Zhengpu Chen , R.P. Kingsly Ambrose , Carl Wassgren","doi":"10.1016/j.biosystemseng.2025.104242","DOIUrl":"10.1016/j.biosystemseng.2025.104242","url":null,"abstract":"<div><div>The mechanical forces exerted by agricultural machinery on grain kernels is a critical factor in ensuring efficient harvesting. Traditional methods that assess kernel compressive strength solely based on fracture force, defined as the point of complete breakage, often overlook the formation of internal cracks. These internal cracks can significantly compromise germination rates and post-harvest handling quality, making their detection essential. To address this limitation, an “optical punch” device was developed to enable real-time observation of internal crack initiation and propagation during single-kernel compression tests. This method fills a gap in conventional quasi-static compression testing, which lacks the capability to monitor internal damage in real time. Using this system, force–displacement data were synchronised with video and audio recordings. Yellow dent maize kernels at 10.5 and 15.5 % moisture contents were tested using the optical punch. The results reveal the stages of crack development, with differences between the forces required to initiate internal cracks and those leading to kernel fracture. A linear correlation between crack initiation force and fracture force was observed, expressed as <span><math><mrow><mi>F</mi><mi>c</mi><mo>=</mo><mi>m</mi><mo>·</mo><msub><mi>F</mi><mi>f</mi></msub><mo>+</mo><mi>b</mi></mrow></math></span>, with parameters (m, b) = (0.99, 40.99 N) for 10.5 % moisture and (1.13, 52.20 N) for 15.5 %. Both crack initiation and fracture force followed log-normal distributions. The results also reveal that increasing moisture content (up to 15.5 %) raises the forces required for both crack initiation and complete fracture. The optical punch provides a useful method for linking crack formation to external mechanical loading, although it is limited by single-angle observation and the inability to detect sub-millimetre cracks.</div></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":"257 ","pages":"Article 104242"},"PeriodicalIF":4.4,"publicationDate":"2025-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144711186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

Revealing hydrodynamic key factors in dripper clogging: A coupled optical coherence tomography and numerical milli-fluidic simulation 揭示滴管堵塞的流体动力学关键因素：耦合光学相干层析成像和数值微流体模拟

IF 4.4 1区农林科学

Biosystems Engineering Pub Date : 2025-07-23 DOI: 10.1016/j.biosystemseng.2025.104244

Julien Petit , Heni Dallagi , Silvia Mas Garcia , Ryad Bendoula , Olivier Boiron , Nassim Ait-Mouheb

{"title":"Revealing hydrodynamic key factors in dripper clogging: A coupled optical coherence tomography and numerical milli-fluidic simulation","authors":"Julien Petit , Heni Dallagi , Silvia Mas Garcia , Ryad Bendoula , Olivier Boiron , Nassim Ait-Mouheb","doi":"10.1016/j.biosystemseng.2025.104244","DOIUrl":"10.1016/j.biosystemseng.2025.104244","url":null,"abstract":"<div><div>This study introduces a novel method for analysing emitter clogging in drip irrigation systems by comparing optical tomography images (OCT) of clogging with hydrodynamic modelling (CFD) through statistical analysis. Utilising Principal Component Analysis (PCA) on data coming from modelling and images on a comparable format, turbulence kinetic energy was identified as the key hydrodynamic parameter influencing both kaolinite and biological clogging. The results indicate that turbulence kinetic energy is minimal at the inlet, correlating with the most severe clogging observed in this region. Two flow conditions were tested, with Reynolds numbers of 300 and 400. The higher Reynolds number (400) resulted in accelerated biofilm development and reduced kaolinite clogging compared to the lower Reynolds number (300), indicating a feeding effect correlated to flow speed and shear stress. This methodology offers new ways to study the relationship between modelling and images, leading to insights to understand mechanisms and optimise dripper designs. This method enables the determination of clogging localisation within drippers based on their geometry and can therefore be applied to various designs to enhance maintenance.</div></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":"257 ","pages":"Article 104244"},"PeriodicalIF":4.4,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144685594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

DEM calibration with two-dimensional look-up table and accuracy evaluation for modelling non-contact wheat seeding 非接触式小麦播种模型二维查表定标及精度评价

IF 4.4 1区农林科学

Biosystems Engineering Pub Date : 2025-07-22 DOI: 10.1016/j.biosystemseng.2025.104241

Zhengyang Wu , Chao Wang , Longbao Wang , Hongwen Li , Jin He , Qingjie Wang , Caiyun Lu

{"title":"DEM calibration with two-dimensional look-up table and accuracy evaluation for modelling non-contact wheat seeding","authors":"Zhengyang Wu , Chao Wang , Longbao Wang , Hongwen Li , Jin He , Qingjie Wang , Caiyun Lu","doi":"10.1016/j.biosystemseng.2025.104241","DOIUrl":"10.1016/j.biosystemseng.2025.104241","url":null,"abstract":"<div><div>Parameter calibration is a key component of the discrete element method (DEM). Limitations on the predictive accuracy of DEM parameters calibrated by in-situ simulation approaches exist but are always ignored by researchers. To determine a DEM parameter combination for accurately predicting the seeding depth in non-contact seeding, under a condition of varying vertical velocities, this study constructed a two-dimensional look-up table (LUT) of seeding depths with DEM parameters as inputs using the in-situ simulation. According to the experimental results of seeding depths in five soil bins with different water content, multiple parameter combinations for each soil bin were found in the LUT with their prediction accuracies higher than 95 % under a fixed seed vertical velocity. Although the vertical velocity was different from it in the calibration, the parameter combinations for each soil bin were expected to have at least one that could accurately predict seeding depth with the same parameter combination. Thus, the experimental results of seeding depth at varying vertical velocities for each soil bin and their simulated results were compared. The results demonstrated strong simulation-experiment correlations (R<sup>2</sup> > 0.88) for parameter combinations in each soil bin under varying vertical velocities, though the correlation weakened with increasing velocity. Optimal parameter combinations were uniquely identified per soil bin through correlation maximization. The validated DEM parameters showed prediction errors of 2.42–21.23 % related to vertical velocities. This research provides foundational insights for developing real-time pressure adjustment systems in non-contact wheat seeding using spatial soil property databases.</div></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":"257 ","pages":"Article 104241"},"PeriodicalIF":4.4,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144685595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

Measurement optimization for determining concentrations and emission rates of particulate matter and ammonia from a large size dairy building 测定大型乳品建筑中颗粒物和氨的浓度和排放率的测量优化

IF 4.4 1区农林科学

Biosystems Engineering Pub Date : 2025-07-21 DOI: 10.1016/j.biosystemseng.2025.104230

Yongzhen Li , Xiao Yang , Yujian Lu , Chao Liang , Zhengxiang Shi , Chaoyuan Wang

{"title":"Measurement optimization for determining concentrations and emission rates of particulate matter and ammonia from a large size dairy building","authors":"Yongzhen Li , Xiao Yang , Yujian Lu , Chao Liang , Zhengxiang Shi , Chaoyuan Wang","doi":"10.1016/j.biosystemseng.2025.104230","DOIUrl":"10.1016/j.biosystemseng.2025.104230","url":null,"abstract":"<div><div>Total suspended particle (TSP), particulate matter less than 2.5 μm in aerodynamic diameter (PM<sub>2.5</sub>) and ammonia (NH<sub>3</sub>) in a large-size dairy building were continuous measured for one year with high sampling frequency (5 min-PM, 20 min-NH<sub>3</sub>) at multi points (12-PM, 10-NH<sub>3</sub>). A total of 64 and 16 measurement methods for each pollutant were obtained to calculate the annual mean concentrations (AMC) and emission rates (AME), respectively, which was combined by different levels of sampling duration (D1-D4: 30, 15, 7, 1 d month<sup>−1</sup>), sampling frequency (F1–F4: 5/20, 60, 180, 360 min) and number of sampling points (N1–N4: 12/10, 5, 3, 1). Data measured by D1F1N1 was considered as the true value. Error analysis and hierarchical clustering were applied to select the optimal combinations. Results showed that the baseline AMC of TSP, PM<sub>2.5</sub> and NH<sub>3</sub> in the large dairy building were 86.4, 28.5, 875.0 μg m<sup>−3</sup>, respectively, and the corresponding AME were 140.6, 28.5, and 3461.1 mg h<sup>−1</sup>·cow<sup>−1</sup>. The effect of sampling frequency on AMC was less significant than the other two factors. The D1/D2 and N1/N2 levels were essential to ensure the monitoring accuracy of AMC of PM and NH<sub>3</sub>, respectively, while D1-D3 levels were essential to quantify the AME. Measurement of AMC could be optimized from the maximum of D1F1N1 to D4, F4, N4 level, respectively, and corresponding measurement of AME could be optimized up to D2 and F4 level. Optimized measurement methods were varied among different monitoring purposes (AMC or AME) and different pollutant types.</div></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":"257 ","pages":"Article 104230"},"PeriodicalIF":4.4,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144670730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

Multi-stage image-based approach for fish detection and weight estimation 基于多阶段图像的鱼类检测和权重估计方法

IF 4.4 1区农林科学

Biosystems Engineering Pub Date : 2025-07-21 DOI: 10.1016/j.biosystemseng.2025.104239

Manuel Córdova , Maria Sokolova , Aloysius van Helmond , Angelo Mencarelli , Gert Kootstra

{"title":"Multi-stage image-based approach for fish detection and weight estimation","authors":"Manuel Córdova , Maria Sokolova , Aloysius van Helmond , Angelo Mencarelli , Gert Kootstra","doi":"10.1016/j.biosystemseng.2025.104239","DOIUrl":"10.1016/j.biosystemseng.2025.104239","url":null,"abstract":"<div><div>Challenges with sustainable use of aquatic resources stimulated the implementation of fishing regulations. To check compliance with regulations, observer programmes and electronic monitoring have been implemented but these suffer from low coverage because of extensive fishing activities and their high human-labour dependency. Aiming at automatic registration of the counts and weight per species in the discards, this work introduces a flexible image-based multi-stage approach composed by three stages: detection, classification, and weight estimation. Unlike single-stage approaches that require a single dataset containing the detection, classification, and weight information to train the model, the modular structure of the proposed approach allows training each component in an independent manner requiring only specific data for each stage (bounding boxes, species or weight), therefore different training sets could be used which is expected to improve overall fish detection and weight estimation. In the multi-stage approaches, the impact of using a general species-agnostic regressor vs species-specific regressors was also assessed. Experimental results on the Fish Detection and Weight Estimation dataset, containing 1086 images and 2216 fish instances, demonstrated the superiority of the proposed multi-stage approach over two single-stage methods. The localisation and classification tasks contributed to achieving an F1-macro of 92.72 %, surpassing the best single-stage approach by at least 6.41 percentage points. On the other hand, the localisation and regression tasks led to a MAPE-macro of 18.06, reducing the MAPE of the best single-stage approach by approximately 60 %.</div></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":"257 ","pages":"Article 104239"},"PeriodicalIF":4.4,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144670734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

Application of leaf attitude sensor systems in air-assisted spraying operation in cowpea and citrus 叶片姿态传感器系统在豇豆和柑橘空气辅助喷洒作业中的应用

IF 4.4 1区农林科学

Biosystems Engineering Pub Date : 2025-07-21 DOI: 10.1016/j.biosystemseng.2025.104232

Shaoqing Xu , Luna Luo , Ye Jin , Yuan Zhong , Jianli Song

{"title":"Application of leaf attitude sensor systems in air-assisted spraying operation in cowpea and citrus","authors":"Shaoqing Xu , Luna Luo , Ye Jin , Yuan Zhong , Jianli Song","doi":"10.1016/j.biosystemseng.2025.104232","DOIUrl":"10.1016/j.biosystemseng.2025.104232","url":null,"abstract":"<div><div>In air-assisted spraying operations, the leaves are perturbed by the airflow and undergo attitude changes, the droplets are deposited onto the leaf surface with the assistance of the airflow. To explore the process, it is important to obtain the dynamic attitude characteristics of the leaves. Therefore, in this study, a leaf attitude sensor was developed that could output the deflection angle data of the leaf in the <em>x</em>-, <em>y</em>- and <em>z</em>-axes accurately. The output frequency of the sensor was 0.2–200 Hz and applied to cowpea and citrus spraying operations. The leaf deposition and leaf deflection angles were acquired simultaneously to explore the relationship between them. Results revealed that in cowpea spraying, the coverage of the abaxial leaf surface had a significant negative correlation with the deflection angle on the <em>x</em>-axis and a positive correlation with the <em>z</em>-axis. For the upper and middle canopies of a citrus tree, a negative correlation was discovered between the coverage of the abaxial leaf surface and the deflection angle of the <em>x</em>-axis. In summary, the sensors developed in this study can be used to obtain leaf deflection angles during spraying operations. The obtained data can provide support for analysing the process of droplet deposition onto the leaves and improving the spray effect. The sensor developed in this study can be used to investigate the relationship between deposition and leaf oscillation during spraying, thereby providing theoretical and data support for the improvement of application equipment and parameters.</div></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":"257 ","pages":"Article 104232"},"PeriodicalIF":4.4,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144670695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

A driven-elastic straw clearing device for strip tillage based on DEM-MFBD coupling simulation significantly improves maize seedling emergence rate 基于DEM-MFBD耦合模拟的带状耕作驱动-弹性秸秆清理装置可显著提高玉米出苗率

IF 4.4 1区农林科学

Biosystems Engineering Pub Date : 2025-07-21 DOI: 10.1016/j.biosystemseng.2025.104235

Chengliang Zhang , Xiaogeng Wang , Dayong Zhao , Jianguang Gong , Yongjun Wang , Jiale Zhao

{"title":"A driven-elastic straw clearing device for strip tillage based on DEM-MFBD coupling simulation significantly improves maize seedling emergence rate","authors":"Chengliang Zhang , Xiaogeng Wang , Dayong Zhao , Jianguang Gong , Yongjun Wang , Jiale Zhao","doi":"10.1016/j.biosystemseng.2025.104235","DOIUrl":"10.1016/j.biosystemseng.2025.104235","url":null,"abstract":"<div><div>The traditional passive-rigid straw clearing device (PRSCD) is difficult to achieve a balance between high straw clearing rate (SCR) and low soil disturbance rate (SDR), resulting in maize seedling emergence rate (SER) consistently below 90.7 % in strip tillage operation mode. In this study, a new driven-elastic straw clearing device (DESCD) that combined driven rotation with elastic material was innovatively developed, and a DEM-MFBD coupling model was constructed to accurately simulate the straw clearing operation process. The simulation results showed that the deformation under force of the elastic rake tine of DESCD reduced the impact on soil particles, which in turn significantly reduced SDR (P ≤ 0.01). Meanwhile, the driven rotation mode could provide stable rotational momentum for DESCD, and then significantly increase SCR (P ≤ 0.01). The elastic deformation coefficient <em>k</em> and driven rotational speed <em>n</em> of DESCD had a significant effect on SCR and SDR (P ≤ 0.01), and the optimal parameter combination of DESCD was <em>k</em> of 780 N mm (°)<sup>−1</sup> and <em>n</em> of 280 rpm. The field verification experiment results showed that compared with PRSCD, DESCD could increase SCR by 13.19 % without significantly increasing SDR, which in turn improved SER by 5.78 %. Meanwhile, there was no significant difference between the SCR and SDR calculated by the DEM-MFBD coupling simulation model and the actual field experimental data (P > 0.05). In summary, a new high-performance straw clearing device and a high-precision parameter simulation and optimisation design method were developed for significantly improving the maize SER in strip tillage in this study.</div></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":"257 ","pages":"Article 104235"},"PeriodicalIF":4.4,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144670731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

Development and field evaluation of a straddle-frame honeysuckle harvesting robot 跨架金银花收获机器人的研制与现场评价

IF 4.4 1区农林科学

Biosystems Engineering Pub Date : 2025-07-21 DOI: 10.1016/j.biosystemseng.2025.104234

Zhaoyu Rui , Zhao Zhang , Cunming Hao , C. Igathinathane , Afshin Azizi , Xiaofei Wu , Man Zhang , Fazeel Abid , Seyed Mohamad Javidan

{"title":"Development and field evaluation of a straddle-frame honeysuckle harvesting robot","authors":"Zhaoyu Rui , Zhao Zhang , Cunming Hao , C. Igathinathane , Afshin Azizi , Xiaofei Wu , Man Zhang , Fazeel Abid , Seyed Mohamad Javidan","doi":"10.1016/j.biosystemseng.2025.104234","DOIUrl":"10.1016/j.biosystemseng.2025.104234","url":null,"abstract":"<div><div>Honeysuckle (<em>Lonicera japonica</em> L.) holds significant economic value due to its traditional medicinal applications. However, the lack of modern mechanical harvesting methods renders the honeysuckle harvesting approach still manual. Increasing labour costs and a diminishing labour pool significantly increase the production cost of honeysuckles, potentially jeopardising sustainable production. Therefore, a straddle-frame honeysuckle-picking robot, which consists of a customised electric platform and gripper, was developed and field-tested. A rotatable two degrees-of-freedom gripping end-effector was designed to adapt to different honeysuckle orientations. The YOLOv8-pose algorithm was employed to detect picking points and ascertain flower orientation. This algorithm uses the keypoint located at the upper part of the honeysuckle as the picking point, thereby ensuring accurate positioning while simultaneously detecting the angle of the connecting line between the bud head and tail relative to the horizontal line and accordingly adjusting the rotation of the gripping finger. The model demonstrated robust performance in natural field environments, achieving 0.96 precision, 0.85 recall, 0.90 F<sub>1</sub>-score, and 4.97° mean absolute error. Test results at various picking points indicated that the damage rate incurred when picking the honeysuckle in the bud's middle was about 20°%, while picking at the head resulted in minimal or no damage. For the picking performance evaluation experiment, a dataset of 2°06 honeysuckles was tested, resulting in a success rate of 66.8 %, a damage rate of 9.6°%, a positioning accuracy of 68.5°%, and average time to harvest one honeysuckle of 4.9 s. The developed honeysuckle harvest robot presents a promising solution for the automated harvesting of honeysuckle.</div></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":"257 ","pages":"Article 104234"},"PeriodicalIF":4.4,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144670735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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