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The development of reference working cycles for agricultural tractors 农用拖拉机参考工作周期的开发
IF 5.1 1区 农林科学
Biosystems Engineering Pub Date : 2024-04-22 DOI: 10.1016/j.biosystemseng.2024.04.004
Leonardo Angelucci, Michele Mattetti
{"title":"The development of reference working cycles for agricultural tractors","authors":"Leonardo Angelucci,&nbsp;Michele Mattetti","doi":"10.1016/j.biosystemseng.2024.04.004","DOIUrl":"https://doi.org/10.1016/j.biosystemseng.2024.04.004","url":null,"abstract":"<div><p>Climate change and the current energy crisis are creating new challenges to agriculture and new technological solutions must be developed to increase agricultural machinery efficiency. Researchers and machinery manufacturers identified electrified powertrains as a possible solution to meet this demand. The development of field-effective electrified powertrains is challenging mostly due to the wide variability of operating conditions of agricultural tractors. While the automotive industry adopted reference driving cycles for the design and evaluation of hybrid powertrains, the tractor industry has not been able to easily record external load in real-world conditions as it requires dedicated systems that cannot be used under prolonged field usages. This study aims to provide a methodology for estimating a reference working cycle from a multi-year dataset using technologies available in current commercial tractors. Data were collected on a tractor used for 3 years of agricultural work. Data were first clustered into work states, then, for each state, signal features from on-tractor sensors were used to extract key factors to compute the reference work state. With an optimisation solver and a hidden Markov model, the reference working cycle that synthesised the real-world tractor use was calculated. This cycle was compared with established cycles for non-road mobile machinery. The new reference cycle better represented real-world tractor usage as it also complied with low engine operations, which are frequent in farming and mostly associated with machine setup. The new reference working cycle permits a reliable estimation of fuel consumption of real-world farming.</p></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":null,"pages":null},"PeriodicalIF":5.1,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1537511024000771/pdfft?md5=9221ccbe8a54747ea56ad36b3bb48242&pid=1-s2.0-S1537511024000771-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140637965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Path tracking control for brake-steering tracked vehicles based on an improved pure pursuit algorithm 基于改进型纯追随算法的制动转向履带式车辆路径跟踪控制
IF 5.1 1区 农林科学
Biosystems Engineering Pub Date : 2024-04-15 DOI: 10.1016/j.biosystemseng.2024.04.006
Chenming Hu , Yu Ru , Xianzhe Li , Shuping Fang , Hongping Zhou , Xianghai Yan , Mengnan Liu , Rong Xie
{"title":"Path tracking control for brake-steering tracked vehicles based on an improved pure pursuit algorithm","authors":"Chenming Hu ,&nbsp;Yu Ru ,&nbsp;Xianzhe Li ,&nbsp;Shuping Fang ,&nbsp;Hongping Zhou ,&nbsp;Xianghai Yan ,&nbsp;Mengnan Liu ,&nbsp;Rong Xie","doi":"10.1016/j.biosystemseng.2024.04.006","DOIUrl":"https://doi.org/10.1016/j.biosystemseng.2024.04.006","url":null,"abstract":"<div><p>Path tracking is critical for agricultural vehicles to achieve autonomous operation and to improve operational efficiency and accuracy. This study aims to address the high-precision path tracking requirements for the tracked vehicle GY-8. An improved pure pursuit path tracking control method is proposed to enhance the performance of path tracking. For the GY-8 vehicle's single-sided braking and steering approach, a dual-wheel differential kinematic model is established. A smooth steering method using PWM (Pulse Width Modulation) is designed to reduce the likelihood of deviation from the predetermined path due to PWM braking steering. A method based on the theory of circular arc similarity is introduced to determine the path curvature and segmentation. The NSGA-II optimisation algorithm is employed to optimise and obtain the optimal look-ahead distance for different curvature segments, thereby enhancing the accuracy of path tracking. The improved algorithm was experimentally validated for path tracking on paved surfaces. In the experiments, the improved algorithm demonstrated average error, maximum error, error standard deviation, and Fréchet distance of 0.0266 m, 0.0973 m, 0.0195 m, and 0.0891 m, respectively. This represents a 15.6%, 25.8%, 4.9%, and 27.6% improvement over the pure tracking algorithm. When applying the improved pure tracking algorithm to path tracking in agricultural orchard soil environments, the results indicated maximum error, average error, and error standard deviation of 0.1272 m, 0.0351 m, and 0.0215 m, respectively. The overall findings suggest that the improved method significantly enhances the accuracy of path tracking, providing theoretical support for advancing navigation technology in tracked vehicles.</p></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":null,"pages":null},"PeriodicalIF":5.1,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140554919","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
Feeding intensity identification method for pond fish school using dual-label and MobileViT-SENet 使用双标签和 MobileViT-SENet 的池塘鱼群摄食强度识别方法
IF 5.1 1区 农林科学
Biosystems Engineering Pub Date : 2024-04-13 DOI: 10.1016/j.biosystemseng.2024.03.010
Lu Zhang , Zunxu Liu , Yapeng Zheng , Bin Li
{"title":"Feeding intensity identification method for pond fish school using dual-label and MobileViT-SENet","authors":"Lu Zhang ,&nbsp;Zunxu Liu ,&nbsp;Yapeng Zheng ,&nbsp;Bin Li","doi":"10.1016/j.biosystemseng.2024.03.010","DOIUrl":"https://doi.org/10.1016/j.biosystemseng.2024.03.010","url":null,"abstract":"<div><p>Accurately identifying the fish feeding intensity is crucial for timely understanding the feeding demand, dynamically adjusting the feeding strategy, and reducing costs. For the variability and uncontrollability of the pond aquaculture environment, the densities of feeding fish schools aggregating to the feeding point exhibit significant variations. Consequently, different densities of fish schools present inconsistent characteristics in the image, even under the same feeding intensity, making the precise identification of feeding intensity difficult. To tackle this issue, a method for identifying the feeding intensity of pond fish schools based on dual-label and MobileViT-SENet (DL-MobileViT-SENet) was proposed. The fish school images were marked with labels indicating density and feeding intensity to establish the dual-label dataset. Subsequently, a proposed MobileViT-SENet network is trained using the dataset to obtain the dual-label pre-training weight incorporating both fish density and feeding intensity features. Two models are trained to identify density and feeding intensity based on the obtained weight. Finally, a dynamic feeding strategy for fish that integrates biomass, density, and feeding intensity is presented. The proposed method combines the density and feeding intensity labels to enhance the accuracy of identifying the feeding intensity of pond fish schools across various densities, and lays the groundwork for designing a dynamic feeding strategy. It was tested on authentic pond fish school images and yielded an accuracy of 97.95%. This value is superior to these comparison methods, demonstrating that this method can accurately identify the feeding intensity of pond fish and provide support for formulating a dynamic feeding strategy.</p></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":null,"pages":null},"PeriodicalIF":5.1,"publicationDate":"2024-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140549398","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
Effects of airflow disturbance from a multi-rotor unmanned aerial vehicle on fruit tree frost protection 多旋翼无人飞行器产生的气流干扰对果树防冻的影响
IF 5.1 1区 农林科学
Biosystems Engineering Pub Date : 2024-04-09 DOI: 10.1016/j.biosystemseng.2024.04.001
Baiyu Qiao , Lingxiao Wang , Hu Han , Zhan Huang , Yongda Lin , Zongkai Jia , Hongyuan Nie , Xiongkui He , Yajia Liu
{"title":"Effects of airflow disturbance from a multi-rotor unmanned aerial vehicle on fruit tree frost protection","authors":"Baiyu Qiao ,&nbsp;Lingxiao Wang ,&nbsp;Hu Han ,&nbsp;Zhan Huang ,&nbsp;Yongda Lin ,&nbsp;Zongkai Jia ,&nbsp;Hongyuan Nie ,&nbsp;Xiongkui He ,&nbsp;Yajia Liu","doi":"10.1016/j.biosystemseng.2024.04.001","DOIUrl":"https://doi.org/10.1016/j.biosystemseng.2024.04.001","url":null,"abstract":"<div><p>Fruit tree frost, an agricultural meteorological disaster primarily occurring in spring, severely impacts the growth and development of trees and fruit set. Therefore, exploring the temperature change rules of fruit trees during frost events is of considerable importance. This study used a T40 unmanned aerial vehicle (UAV) as the test vehicle based on the air disturbance frost prevention principle. The airflow field change pattern of the UAV was explored using the computational fluid dynamics simulation method, and the reliability of the multi-rotor UAV in frost prevention was verified using field tests. Setting the UAV height at 6.0 m above the ground and the rotor speed at 1000 r min<sup>−1</sup>, it was found that under the conditions of the inverse temperature phenomenon, the temperatures of different altitude layers will eventually converge to a stable value when the UAV down-rotating airflow is disturbed, which could be completed rapidly within 20 s. The results of the field test also showed that when the fruit trees reached the critical temperature of frost at the flowering stage, UAV intervention could have a substantial effect on the warming of the near-surface layers, whose warming amplitude was in the range of 2.5 °C–3 °C. This study provides a reliable method for mitigating frost, which serves as an important theoretical and guiding basis for improving agricultural frost disasters in China.</p></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":null,"pages":null},"PeriodicalIF":5.1,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140536710","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
Resource allocation and route planning under the collection price uncertainty for the biomass supply chain 生物质供应链收集价格不确定情况下的资源分配和路线规划
IF 5.1 1区 农林科学
Biosystems Engineering Pub Date : 2024-04-06 DOI: 10.1016/j.biosystemseng.2024.03.011
Xiang Ting Wang , Jin Xin Cao , Ying Lv
{"title":"Resource allocation and route planning under the collection price uncertainty for the biomass supply chain","authors":"Xiang Ting Wang ,&nbsp;Jin Xin Cao ,&nbsp;Ying Lv","doi":"10.1016/j.biosystemseng.2024.03.011","DOIUrl":"https://doi.org/10.1016/j.biosystemseng.2024.03.011","url":null,"abstract":"<div><p>The escalating severity of global warming has drawn worldwide attention to ecological problems. Nevertheless, with the introduction of environmental policies, biomass resources have been effectively developed as a renewable energy source. This paper investigates an advanced biomass supply chain design wherein biomass resources are initially converted into bio-oil through widely distributed fast pyrolysis facilities, and are subsequently transported to a centralised biorefinery for further refining into biofuels. This novel biomass supply chain addressed three key issues: (1) The number of fast pyrolysis facilities, (2) The allocation of resources, and (3) The routes of resources transport. In respect of these problems, a two-stage stochastic mixed integer programming model is established to minimise the total cost of the biomass supply chain considering the uncertainty collection price of fast pyrolysis facilities. A hybrid simulated annealing algorithm which incorporates the sample average approximation method is proposed to solve the stochastic model and is effectiveness for large-scale examples. Finally, a sensitivity analysis is performed using the proposed algorithm and the results show that the proposed stochastic model outperforms the deterministic model under uncertain collection price. The model allows optimising the biomass supply chain economic performances and minimise financial risk on investment by determining the fast pyrolysis facility locations, reasonable resource allocation and optimal transport routes under uncertain collection price.</p></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":null,"pages":null},"PeriodicalIF":5.1,"publicationDate":"2024-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140533303","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
Estimating maize plant height using a crop surface model constructed from UAV RGB images 利用无人机 RGB 图像构建的作物表面模型估算玉米株高
IF 5.1 1区 农林科学
Biosystems Engineering Pub Date : 2024-04-06 DOI: 10.1016/j.biosystemseng.2024.04.003
Yaxiao Niu , Wenting Han , Huihui Zhang , Liyuan Zhang , Haipeng Chen
{"title":"Estimating maize plant height using a crop surface model constructed from UAV RGB images","authors":"Yaxiao Niu ,&nbsp;Wenting Han ,&nbsp;Huihui Zhang ,&nbsp;Liyuan Zhang ,&nbsp;Haipeng Chen","doi":"10.1016/j.biosystemseng.2024.04.003","DOIUrl":"https://doi.org/10.1016/j.biosystemseng.2024.04.003","url":null,"abstract":"<div><p>Plant height (PH) is an essential agronomic trait that can be used to assist in crop breeding pipelines, assess crop productivity and make crop management decisions. Improving the accuracy of the digital terrain model (DTM) and optimising the PH features of the crop surface model obtained from unmanned aerial vehicle (UAV) images contribute to PH estimation. The influence of the fractional vegetation cover (FVC) on DTM reconstruction accuracy was investigated for the first time, and the influence of the view angle (oblique and nadir) and spatial resolution on the accuracy of maize PH estimation was explored. The results show that the accuracy of the DTM constructed using the inverse distance weighted algorithm was significantly influenced by the FVC conditions. Compared with the DTM constructed using UAV images over bare soil, FVC less than 0.4 was necessary for the accurate construction of the DTM, with average estimation errors of 0.15 m in 2018 and 0.09 m in 2019. Compared with the nadir view, the oblique view resulted in a more accurate 3D reconstruction. When the original spatial resolution of 15 mm was upscaled to 20, 30, 60 and 120 mm, a decreasing trend of PH estimation accuracy was observed, with root mean square error increasing from 0.35 to 0.40 m and mean absolute error increasing from 0.30 to 0.36 m. Overall, this study investigated the optimal FVC conditions for accurate DTM construction and the influence of the view angle and spatial resolution on PH estimation based on UAV RGB images.</p></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":null,"pages":null},"PeriodicalIF":5.1,"publicationDate":"2024-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140350694","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
Examining the effect of different photovoltaic modules on cucumber crops in a greenhouse agrivoltaic system: A case study 研究不同光伏组件对温室农业光伏系统中黄瓜作物的影响:案例研究
IF 5.1 1区 农林科学
Biosystems Engineering Pub Date : 2024-04-06 DOI: 10.1016/j.biosystemseng.2024.03.012
Nabeel Gnayem, Esther Magadley, Alaa Haj-Yahya, Samar Masalha, Ragheb Kabha, Alhan Abasi, Hani Barhom, Madhat Matar, Mohammed Attrash, Ibrahim Yehia
{"title":"Examining the effect of different photovoltaic modules on cucumber crops in a greenhouse agrivoltaic system: A case study","authors":"Nabeel Gnayem,&nbsp;Esther Magadley,&nbsp;Alaa Haj-Yahya,&nbsp;Samar Masalha,&nbsp;Ragheb Kabha,&nbsp;Alhan Abasi,&nbsp;Hani Barhom,&nbsp;Madhat Matar,&nbsp;Mohammed Attrash,&nbsp;Ibrahim Yehia","doi":"10.1016/j.biosystemseng.2024.03.012","DOIUrl":"https://doi.org/10.1016/j.biosystemseng.2024.03.012","url":null,"abstract":"<div><p>Agrivoltaic systems, a fusion of agriculture and photovoltaic (PV) technology, have emerged as a sustainable solution to optimise land use by enabling simultaneous solar energy and agricultural harvesting. The experiments were conducted in a polytunnel greenhouse in Kfar Qara, Israel, deploying three types of semi-transparent solar PV panels—bifacial glass-encapsulated silicon, bifacial plastic-encapsulated silicon, and semi-transparent organic photovoltaics (OPVs) installed above the plant canopy. The impact of these PV treatments on cucumber crops was evaluated and juxtaposed against a control greenhouse with no panels, over the spring season from February to June 2022. Key growth and yield metrics were recorded during 17 harvests between April 10 and June 2, 2022. The findings revealed a negligible decline in crop yield across PV panel treatments compared to the control. Notably, the control and glass-encapsulated silicon PV treatments demonstrated an increase in yield, growth, and fruit quality. Moreover, the glass-encapsulated silicon PV panels outperformed the plastic-encapsulated and OPV module power conversion in the high heat and humidity of the greenhouse environment. This study accentuates the potential of integrating glass-encapsulated silicon PV panels in polytunnel greenhouses, heralding a promising avenue for bolstering agrivoltaic applications by ensuring a harmonious balance between agricultural yield and electrical energy production.</p></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":null,"pages":null},"PeriodicalIF":5.1,"publicationDate":"2024-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140533902","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
Design and optimisation of end effector for loose substrate grasping based on discrete element method 基于离散元法的松散基板抓取末端效应器的设计与优化
IF 5.1 1区 农林科学
Biosystems Engineering Pub Date : 2024-04-04 DOI: 10.1016/j.biosystemseng.2024.03.009
Wei Liu , Qingyu Wang , Huanyu Jiang
{"title":"Design and optimisation of end effector for loose substrate grasping based on discrete element method","authors":"Wei Liu ,&nbsp;Qingyu Wang ,&nbsp;Huanyu Jiang","doi":"10.1016/j.biosystemseng.2024.03.009","DOIUrl":"https://doi.org/10.1016/j.biosystemseng.2024.03.009","url":null,"abstract":"<div><p>The transplantation of seedlings represents a pivotal stage in plug tray seedling cultivation. Conventional end effectors used in transplanters are primarily tailored for seedlings with well-established root systems and tightly bound substrates. However, when the substrate lacks sufficient root wrapping and remains loose, independent seedling removal devices utilising blowing or suction methods are often employed. This results in structural complexity and increased costs for the transplanter. To address the challenge of grasping loose substrate, this study advocates for a novel approach utilising a diagonal oblique-insertion type end effector. Through repose angle trials, discrete element simulation parameters were calibrated. Subsequently, leveraging these calibrated simulation parameters, the end effector was optimisation through orthogonal experiments. Findings reveal that the relative error between simulated and actual repose angles is minimised under specific conditions, with the shear modulus at 8.2 × 10<sup>6</sup> Pa, the particle-particle rolling friction coefficient at 0.234, the particle-steel static friction coefficient at 0.36, and the JKR surface energy at 0.347 J m<sup>−2</sup>. Employing these simulation parameters for end effector optimisation, it was determined that the average substrate integrity rate reaches 79.26% with an end effector featuring 5 tines, a gripper positioned 2.5 mm from the edge of the hole, and a gripper ascent speed of 0.056 m s<sup>−1</sup>. The average relative error between actual grasping experimental and simulation results was observed at 10.21%, indicating the suitability of these discrete element parameters for optimising simulations of end effectors for transplanters. Furthermore, the end effector devised in this study demonstrated efficacy in transplanting loose substrates.</p></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":null,"pages":null},"PeriodicalIF":5.1,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140343927","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
Beef cattle abnormal behaviour recognition based on dual-branch frequency channel temporal excitation and aggregation 基于双分支频率信道时间激发和聚合的肉牛异常行为识别
IF 5.1 1区 农林科学
Biosystems Engineering Pub Date : 2024-03-29 DOI: 10.1016/j.biosystemseng.2024.03.006
Yamin Han , Jie Wu , Hongming Zhang , Mingyu Cai , Yang Sun , Bin Li , Xilong Feng , Jinye Hao , Hanchen Wang
{"title":"Beef cattle abnormal behaviour recognition based on dual-branch frequency channel temporal excitation and aggregation","authors":"Yamin Han ,&nbsp;Jie Wu ,&nbsp;Hongming Zhang ,&nbsp;Mingyu Cai ,&nbsp;Yang Sun ,&nbsp;Bin Li ,&nbsp;Xilong Feng ,&nbsp;Jinye Hao ,&nbsp;Hanchen Wang","doi":"10.1016/j.biosystemseng.2024.03.006","DOIUrl":"https://doi.org/10.1016/j.biosystemseng.2024.03.006","url":null,"abstract":"<div><p>The behaviour of beef cattle, especially abnormal behaviours such as mounting, fighting, and running, provides valuable information regarding their health status. Recently, existing methods based on deep convolutional networks have achieved state-of-the-art performance in beef cattle behaviour recognition. However, these methods focus only on the basic motion behaviours of a single cow (e.g. lying and standing) and ignore the abnormal behaviours of group-housed cattle, which further limits their application in an actual farm environment. In this study, we collected a realistic dataset of beef cattle abnormal behaviour called Beef Cattle Abnormal Actions, which was captured in different light environments and on different behavioural area scales. With the proposed dataset, we proposed a Dual-Branch Temporal Excitation and Aggregation with Frequency Channel Attention (DB-TEAF) method. First, a sampling strategy based on differences in image RGB information was proposed to extract representative motion-salient frames from redundant videos. Second, the temporal excitation and aggregation branch with frequency channel attention (TEAF) was introduced to focus attention on the key channels of short- and long-range temporal features. The spatial branch is incorporated into the TEAF branch to obtain the representative spatio-temporal features. In addition, focal loss was used to train the proposed model, which made the learning process aware of valuable samples from abnormal behaviour. Testing with the newly collected dataset verified that the proposed DB-TEAF method achieved superior performance compared to other state-of-the-art approaches. The findings of this study would provide support for recognising the abnormal behaviour of livestock during precision farming.</p></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":null,"pages":null},"PeriodicalIF":5.1,"publicationDate":"2024-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140320446","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 verification of a graphical detection system for multi-field interactions in stored grain based on LF-NMR 基于 LF-NMR 的储藏谷物多田相互作用图形检测系统的开发与验证
IF 5.1 1区 农林科学
Biosystems Engineering Pub Date : 2024-03-27 DOI: 10.1016/j.biosystemseng.2024.03.005
Ji Zhang , Wenfu Wu , Zhe Liu , Yunshandan Wu , Feng Han , Wen Xu
{"title":"Development and verification of a graphical detection system for multi-field interactions in stored grain based on LF-NMR","authors":"Ji Zhang ,&nbsp;Wenfu Wu ,&nbsp;Zhe Liu ,&nbsp;Yunshandan Wu ,&nbsp;Feng Han ,&nbsp;Wen Xu","doi":"10.1016/j.biosystemseng.2024.03.005","DOIUrl":"https://doi.org/10.1016/j.biosystemseng.2024.03.005","url":null,"abstract":"<div><p>Stored grain is a complex ecosystem in which intricate multi-field interactions exist among abiotic and biotic factors, as well as the surrounding environment. Clearly understanding these interactions is crucial for ensuring grain storage security. This study developed a graphical detection system based on low-field nuclear magnetic resonance (LF-NMR) technology, which consists of an LF-NMR imaging analyzer, a small grain container, and dedicated software. This system can simultaneously detect the temperature, moisture, and humidity of a grain sample stored in the grain container and visually present the cloud maps of these fields through the dedicated software. To verify the system's performance, two laboratory storage experiments with paddy rice samples were conducted for 15 d. The results indicated that the measured cloud maps could accurately depict the variations in the temperature, moisture, and humidity fields within the stored paddy rice samples during the storage period. The areas with potential risks of fungal growth, grain sprouting, and moisture condensation due to the multi-field interactions could also be identified through the cloud maps, which demonstrated the credible performance of the system. This system could provide a new technical means to uncover the complex coupling relationships within grain storage ecosystems.</p></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":null,"pages":null},"PeriodicalIF":5.1,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140296775","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
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