Biosystems Engineering最新文献_第9页

Characterisation of discharge and flow rate predictions for asymmetric wedge-shaped hoppers 非对称楔形料斗的出料特性和流速预测

IF 4.4 1区农林科学

Biosystems Engineering Pub Date : 2024-07-16 DOI: 10.1016/j.biosystemseng.2024.07.007

Tianci Huang , Bei Wu , Fangping Xie , Huaiyuan Qian , Zhuo Li , Peng Chen , Qingmiao Xiang

{"title":"Characterisation of discharge and flow rate predictions for asymmetric wedge-shaped hoppers","authors":"Tianci Huang , Bei Wu , Fangping Xie , Huaiyuan Qian , Zhuo Li , Peng Chen , Qingmiao Xiang","doi":"10.1016/j.biosystemseng.2024.07.007","DOIUrl":"10.1016/j.biosystemseng.2024.07.007","url":null,"abstract":"<div><p>It is important to understand the flow behaviour inside wedge-shaped hoppers and accurately predict the discharge rate for the processing and handling of granular materials, regardless of whether the wedge hopper is symmetric or asymmetric. In this paper, the discrete element method (DEM) was used to reveal the flow behaviour of pellet feed in an asymmetric wedge-shaped hopper from the discharge rate, flow pattern, velocity distribution, normal contact force between particles and free-fall arch. The results showed that, with the hopper angle decreasing, the area of the active region of the particles increased, the stagnation zone decreased, and the free-fall arch became unstable. When the unilateral hopper angle was less than 45°, the discharge rate of the wedge-shaped hopper increased, and the average discharge rate reached the maximum value of 1.070 kg s<sup>−</sup><sup>1</sup> when the left and right hopper angles were equal to 15°. In addition, using the discharging mass proportion coefficient to represent the size of the region in which the unilateral hopper angle affected the flow of particles in the hopper, the hopper angle term in the Brown and Sellers model was corrected. The predictive errors of the corrected discharge rate model were less than 7.6% and 3.3% in the simulated and actual discharging tests respectively, which was better than that of the Brown and Sellers model. The results of the study could provide a theoretical basis for the intelligent upgrading of feed accurate handling equipment, and provide a reference basis for the design of asymmetric wedge-shaped hopper.</p></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":"245 ","pages":"Pages 96-105"},"PeriodicalIF":4.4,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141630674","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 experiment of an intelligent testing bench for air-suction seed metering devices for small vegetable seeds 小型蔬菜种子气吸式种子计量装置智能测试台的设计与实验

IF 4.4 1区农林科学

Biosystems Engineering Pub Date : 2024-07-13 DOI: 10.1016/j.biosystemseng.2024.07.003

Zhang Weipeng , Zhao Bo , Gao Shengbo , Zhu Yue , Zhou Liming , Niu Kang , Qiu Zhaomei , Jin Xin

{"title":"Design and experiment of an intelligent testing bench for air-suction seed metering devices for small vegetable seeds","authors":"Zhang Weipeng , Zhao Bo , Gao Shengbo , Zhu Yue , Zhou Liming , Niu Kang , Qiu Zhaomei , Jin Xin","doi":"10.1016/j.biosystemseng.2024.07.003","DOIUrl":"https://doi.org/10.1016/j.biosystemseng.2024.07.003","url":null,"abstract":"<div><p>In order to realise the real-time monitoring of seeding quality of small vegetable seeds, and solve the problem of inconvenience caused by the small particle sizes of vegetable seeds, an intelligent testing bench for air-suction seed metering device for small vegetable seeds with a particle diameter of 0.5–3 mm was designed, and a complementary quality monitoring and controlling system was developed. The photoelectric sensing technology and image recognition technology were used together in the system. Photoelectric sensing technology was used for real-time monitoring of seed counting, while the image recognition technology can dynamically monitor the missed seeding, repeated seeding and the falling trajectory of seed deposition in real time. The system was installed on the air-suction intelligent testing bench to test the monitoring accuracy of the monitoring system. The experimental results demonstrated that the monitoring accuracy of drilling quality monitoring system was over 97%, the monitoring accuracy of miss seeding was over 95%, and the monitoring accuracy of repeated seeding was over 93%. Furthermore, the monitoring system was less affected by the seed particle size, shape, and plant spacing, etc., and the system was stable, which effectively realised the real-time monitoring of the operation of air-suction metering device.</p></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":"245 ","pages":"Pages 84-95"},"PeriodicalIF":4.4,"publicationDate":"2024-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141605209","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

Review of deep learning-based methods for non-destructive evaluation of agricultural products 基于深度学习的农产品无损评估方法综述

IF 4.4 1区农林科学

Biosystems Engineering Pub Date : 2024-07-13 DOI: 10.1016/j.biosystemseng.2024.07.002

Zhenye Li , Dongyi Wang , Tingting Zhu , Yang Tao , Chao Ni

{"title":"Review of deep learning-based methods for non-destructive evaluation of agricultural products","authors":"Zhenye Li , Dongyi Wang , Tingting Zhu , Yang Tao , Chao Ni","doi":"10.1016/j.biosystemseng.2024.07.002","DOIUrl":"https://doi.org/10.1016/j.biosystemseng.2024.07.002","url":null,"abstract":"<div><p>Deep Learning (DL) has emerged as a pivotal modelling tool in various domains because of its proficiency in learning distributed representations. Numerous DL algorithms have recently been proposed and applied to non-destructive testing (NDT) methods in agriculture. This study aimed to review the state-of-the-art applications of DL algorithms in NDT by analysing the application of DL to specific NDT applications and highlighting their contributions and challenges. It first presents a comprehensive overview of various NDT techniques that have been combined with DL in agricultural product evaluation, and then briefly describes their applications in diverse NDT tasks, such as image classification, object detection, image retrieval, and semantic segmentation. Second, this study addresses the ongoing challenges associated with data collection and fusion, model complexity, computational requirements, and robustness. Finally, future research directions are examined, underscoring the potential of novel neural network architectures and cross-disciplinary collaborations. This review aims to provide a clear understanding of the current state of DL-based NDT in agricultural product examinations and its prospects for the future.</p><p>© 2017 Elsevier Inc. All rights reserved.</p></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":"245 ","pages":"Pages 56-83"},"PeriodicalIF":4.4,"publicationDate":"2024-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141605368","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 test of a novel converging groove-guided seed tube for precision seeding of maize 设计和测试用于玉米精量播种的新型汇流槽导向播种管

IF 4.4 1区农林科学

Biosystems Engineering Pub Date : 2024-07-05 DOI: 10.1016/j.biosystemseng.2024.06.012

Xian Jia , Jingyu Zhu , Gang Guo , Yuxiang Huang , Xiaojun Gao , Chongqin Zhang

{"title":"Design and test of a novel converging groove-guided seed tube for precision seeding of maize","authors":"Xian Jia , Jingyu Zhu , Gang Guo , Yuxiang Huang , Xiaojun Gao , Chongqin Zhang","doi":"10.1016/j.biosystemseng.2024.06.012","DOIUrl":"https://doi.org/10.1016/j.biosystemseng.2024.06.012","url":null,"abstract":"<div><p>In precision seeding operations, the irregular shapes of maize seed particles and the suboptimal geometric structure of the seed tube contribute to the rolling and bouncing of seeds upon falling into the furrow, ultimately compromising seeding uniformity. To address this issue, a convergent groove-guided (CGG) seed tube was proposed based on the principle of brachistochrone curve considering friction (BCCF). The discrete element method (DEM) was employed to conduct a comprehensive phenomenological analysis and numerical investigation of particle guide characteristics. Bench tests and field experiments were designed to verify the simulation results. Through response surface analysis, the optimal seeding performance was achieved at a groove angle of 111.34°, tube incline angle of 1.56°, and ground speed of 7.2 km h<sup>−1</sup>, resulting in a lateral dispersion landing range of 11.10 mm, angular velocity of 17.38 rad s<sup>−1</sup>, seed landing speed variation coefficient of 2.29%, and plant spacing variation coefficient of 6.04%. Bench test results unveiled that, under a ground speed of 7.2 km h<sup>−1</sup>, the variation coefficient of plant spacing for CGG seed tubes was measured at 7.63%, with a deviation of 1.59% from the simulation results. At high ground speeds of 9.0–14.4 km h<sup>−1</sup>, the seed guiding performance was also better than traditional seed tubes. Consistent results were also verified through field experiments. Therefore, the CGG seed tube manifested superior seed guidance efficacy when juxtaposed with its conventional counterpart, and this design can provide technical support for the realization of seed-to-ground positioning technology.</p></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":"245 ","pages":"Pages 36-55"},"PeriodicalIF":4.4,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141543567","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

Optimising the hydraulic performance of a jet impingement sprinkler by varying elevation angle: A Comparative study with a non-impingement sprinkler 通过改变仰角优化喷射冲击式喷灌机的水力性能：与非撞击式喷灌机的比较研究

IF 4.4 1区农林科学

Biosystems Engineering Pub Date : 2024-07-03 DOI: 10.1016/j.biosystemseng.2024.06.011

Yue Jiang, Zixin Wang, Hong Li, Lisha Wang

{"title":"Optimising the hydraulic performance of a jet impingement sprinkler by varying elevation angle: A Comparative study with a non-impingement sprinkler","authors":"Yue Jiang, Zixin Wang, Hong Li, Lisha Wang","doi":"10.1016/j.biosystemseng.2024.06.011","DOIUrl":"https://doi.org/10.1016/j.biosystemseng.2024.06.011","url":null,"abstract":"<div><p>A novel jet impingement sprinkler was designed to replace the additional water-dispersing devices usually used in rotating sprinklers to adapt performance for low-pressure conditions. Utilising the asymmetric impingement mode of primary and secondary jets, the design prioritises the secondary nozzle elevation angle. Theoretical expressions were establish between the primary and secondary jet momentum rates. Hydraulic performance experiments, were conducted under intermediate and low-pressure conditions, examining water application rate, wetted radius, and Christiansen's uniformity coefficient at various elevation angles. High-speed photography (HSP) experiments elucidate differences in hydraulic performance, revealing that the impingement jet generally featured a lower maximum water application rate but a smoother distribution compared to its non-impingement counterpart. Using the CRiteria Importance Through Intercriteria Correlation (CRITIC) method, comprehensive scores highlight an optimal arrangement with a 34.5° secondary nozzle elevation angle, illustrating superior performance under low pressure. Comparative analyses between the wetted radius and Christiansen's uniformity coefficient uncover a trade-off, with jet impingement sacrificing wetted radius for increased uniformity. However, this efficiency diminished as jet impingement effects intensify. HSP experiments validate theoretical calculations, with a relative error of less than 4% for jet deflection angle and jet breakup length. Non-linear curve fitting establishes relationships between jet breakup length, mean observed jet deflection angle, operating pressure, and wetted radius. Calculated and measured values exhibited a relative error within 5%, affirming the applicability of the developed equation for predicting wetted radius in jet impingement sprinklers.</p></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":"245 ","pages":"Pages 24-35"},"PeriodicalIF":4.4,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141543572","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-detector and motion prediction-based high-speed non-intrusive fingerling counting method 基于多探测器和运动预测的高速非侵入式鱼苗计数法

IF 4.4 1区农林科学

Biosystems Engineering Pub Date : 2024-06-27 DOI: 10.1016/j.biosystemseng.2024.06.009

Jialong Zhou , Zhangying Ye , Jian Zhao , Daxiong Ji , Zequn Peng , Guoxing Lu , Musa Abubakar Tadda , Abubakar Shitu , Songming Zhu

{"title":"Multi-detector and motion prediction-based high-speed non-intrusive fingerling counting method","authors":"Jialong Zhou , Zhangying Ye , Jian Zhao , Daxiong Ji , Zequn Peng , Guoxing Lu , Musa Abubakar Tadda , Abubakar Shitu , Songming Zhu","doi":"10.1016/j.biosystemseng.2024.06.009","DOIUrl":"https://doi.org/10.1016/j.biosystemseng.2024.06.009","url":null,"abstract":"<div><p>Fingerling counting is a basic operation in fish farming and provides an important guideline for many aspects of aquaculture. However, most of the current counting methods are inefficient or computationally cumbersome. This study proposed a high-speed, non-intrusive fingerling counting method based on multiple detectors and a motion prediction model, which achieved high-accuracy counting under the condition of low-frame rate. Firstly, to effectively detect and locate the adherent fingerlings, the detector was accomplished by combining the mixture of Gaussian-based (MOG) segmentation algorithm and the local extremum-based blob detection algorithm. Secondly, three different functions were used to construct a motion prediction model to predict the approximate probability of the fingerlings at each position in the previous frame. Thirdly, the cost matrix was constructed with probability as the feature to associate the fingerlings in the consecutive frames, and the newly appeared fingerlings were counted in real-time, realising the continuous fingerling counting with high precision. Through testing and analysis on 52 collected datasets under low-frame-rate (10 <em>fps</em>) acquisition conditions using largemouth bass (<em>Micropterus salmoides</em>, 3–5 cm) and crucian carp (<em>Carassius auratus</em>, 2–6 cm), results indicated that the best motion prediction model with segmentation function reached over 99% average counting accuracy for both species, with a standard deviation of accuracy less than 0.7%. This method provides a low-cost, high-speed, and stable application solution for computer vision-based fingerling counting.</p></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":"245 ","pages":"Pages 12-23"},"PeriodicalIF":4.4,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141478864","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

Droplet size, velocity, and spray coverage from a magnetic-assisted sprayer 磁力辅助喷雾器的雾滴大小、速度和喷雾覆盖范围

IF 4.4 1区农林科学

Biosystems Engineering Pub Date : 2024-06-26 DOI: 10.1016/j.biosystemseng.2024.06.010

Thomas R. Butts , Simerjeet S. Virk , Koffi Badou-Jeremie Kouame

{"title":"Droplet size, velocity, and spray coverage from a magnetic-assisted sprayer","authors":"Thomas R. Butts , Simerjeet S. Virk , Koffi Badou-Jeremie Kouame","doi":"10.1016/j.biosystemseng.2024.06.010","DOIUrl":"https://doi.org/10.1016/j.biosystemseng.2024.06.010","url":null,"abstract":"<div><p>The increase in pesticide regulations, diminished pesticide options due to resistance concerns, and narrowing grower profit margins require each application to be optimised to reduce spray drift and enhance coverage. However, alternative strategies outside of increasing droplet size are needed as reductions in pest control have been observed. This research explored the potential of a magnetic-assisted sprayer (MAS) to aid in spray coverage and determine its impact on spray droplet size and velocity. The MAS minimally impacted spray droplet size characteristics across the four nozzle types tested (only five of twenty F-tests were statistically significant) and did not impact average or maximum droplet velocities when measured 51-cm from the nozzle compared to the conventional sprayer. Although statistically, the MAS increased droplet size by only 4.6 and 12.5% in two of 12 parameter instances compared to the conventional sprayer, there were indications it may reduce spray drift potential as the driftable fines (% of individual droplets measured with diameters less than 200 μm) were numerically less across all nozzle types tested. Across the five experiments, an improvement in spray coverage and deposition by the MAS compared to the conventional sprayer was only observed in one treatment from one experiment. Overall, the MAS minimally to negatively impacted the measured coverage and calculated deposition from water-sensitive paper. Future research is needed to measure actual spray drift from a MAS as well as to evaluate other potentially influential variables such as water quality, pesticide active ingredient, and plant species.</p></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":"245 ","pages":"Pages 1-11"},"PeriodicalIF":4.4,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1537511024001442/pdfft?md5=e3d6000f6acb21fb0650e1086a61d6a0&pid=1-s2.0-S1537511024001442-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141478863","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

SLCOBNet: Shrimp larvae counting network with overlapping splitting and Bayesian-DM-count loss SLCOBNet：具有重叠分割和贝叶斯-DM计数损失的对虾幼体计数网络

IF 4.4 1区农林科学

Biosystems Engineering Pub Date : 2024-06-22 DOI: 10.1016/j.biosystemseng.2024.06.008

Yang Qu , Sheng Jiang , Daoliang Li , Ping Zhong , Zhencai Shen

{"title":"SLCOBNet: Shrimp larvae counting network with overlapping splitting and Bayesian-DM-count loss","authors":"Yang Qu , Sheng Jiang , Daoliang Li , Ping Zhong , Zhencai Shen","doi":"10.1016/j.biosystemseng.2024.06.008","DOIUrl":"https://doi.org/10.1016/j.biosystemseng.2024.06.008","url":null,"abstract":"<div><p>Estimating the number of shrimp larvae plays a critical role for achieving reasonable feeding in aquaculture. However, previous shrimp larvae counting models failed to accurately distinguish between shrimp larvae and other objects due to the loss of shrimp larvae continuity information. Also, shrimp larvae counting has the challenges of multi-scale changes, transparent body overlap, and background noise. To solve the above problems, a novel shrimp larvae counting network called SLCOBNet is proposed. First, overlapping splitting image is devised, with each patch sharing half of its area, ensuring the continuity of information regarding shrimp larvae between patches. Then, shrimp larvae feature of different scales and multi-scale density maps are obtained through the feature pyramid aggregation and the regression head with multi-scale receptive fields, respectively. Moreover, a novel loss function called Bayesian-DM-Count loss, composed of DM-Count loss and Bayesian loss, was designed to address the existing transparent body overlap and background noise problems. Experiments were performed by collecting shrimp larvae data from the breeding trays of a real aquaculture farm. The extensive experimental results on three shrimp larvae datasets have shown that SLCOBNet achieves 3.27, 3.61 and 1.28 in Mean Absolute Error. Hence, the proposed method exhibits a better counting accuracy compared to other counting methods. Furthermore, the predicted results were consistent with the true values.</p></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":"244 ","pages":"Pages 200-210"},"PeriodicalIF":4.4,"publicationDate":"2024-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141439350","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

Benchmarking techno-economic performance of greenhouses with different technology levels in a hot humid climate 以炎热潮湿气候下不同技术水平温室的技术经济绩效为基准

IF 4.4 1区农林科学

Biosystems Engineering Pub Date : 2024-06-20 DOI: 10.1016/j.biosystemseng.2024.06.005

W. Hopwood , Z. Lopez-Reyes , A. Bantan , C. Vietti , D. Al-Shahrani , A. Al-Harbi , M. Qaryouti , P. Davies , M. Tester , R. Wing , R. Waller

{"title":"Benchmarking techno-economic performance of greenhouses with different technology levels in a hot humid climate","authors":"W. Hopwood , Z. Lopez-Reyes , A. Bantan , C. Vietti , D. Al-Shahrani , A. Al-Harbi , M. Qaryouti , P. Davies , M. Tester , R. Wing , R. Waller","doi":"10.1016/j.biosystemseng.2024.06.005","DOIUrl":"https://doi.org/10.1016/j.biosystemseng.2024.06.005","url":null,"abstract":"<div><p>Greenhouse agriculture is expected to play a critical role in sustainable crop production in the coming decades, opening new markets in climate zones that have been traditionally unproductive for agriculture. Extreme hot and humid conditions, prevalent in rapidly growing economies including the Arabian Peninsula, present unique design and operational challenges to effective greenhouse climate control. These challenges are often poorly understood by local operators and inadequately researched in the literature. This study addresses this knowledge gap by presenting, for the first time, a comprehensive set of benchmarks for water and energy usage, CO<sub>2</sub> emissions (CO<sub>2</sub>e) contribution, and economic performance for low-, mid-, and high-tech greenhouse designs in such climates. Utilising a practical and adaptable model-based framework, the analysis reveals the high-tech design generated the best results for economic return, achieving a 4.9-year payback period with superior water efficiency compared to 5.8 years for low-tech and 7.0 years for mid-tech; however, the high-tech design used significantly more energy to operate its mechanical cooling system, corresponding with higher CO<sub>2</sub>e per unit area (8.3 and 4.0 times higher than the low- and mid-tech, respectively). These benchmarks provide new insights for greenhouse operators, researchers, and other stakeholders, facilitating the development of effective greenhouse design and operational strategies tailored to meet the challenges of hot and humid climates.</p></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":"244 ","pages":"Pages 177-199"},"PeriodicalIF":4.4,"publicationDate":"2024-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1537511024001399/pdfft?md5=b1e9b7dd21dd504421194ea2160b0474&pid=1-s2.0-S1537511024001399-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141435081","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

Automated oestrous detection in sows using a robotic imaging system 使用机器人成像系统自动检测母猪发情期

IF 5.1 1区农林科学

Biosystems Engineering Pub Date : 2024-06-15 DOI: 10.1016/j.biosystemseng.2024.05.018

Ziteng Xu , Jianfeng Zhou , Corinne Bromfield , Teng Teeh Lim , Timothy J. Safranski , Zheng Yan , Jeffrey G. Wiegert

{"title":"Automated oestrous detection in sows using a robotic imaging system","authors":"Ziteng Xu , Jianfeng Zhou , Corinne Bromfield , Teng Teeh Lim , Timothy J. Safranski , Zheng Yan , Jeffrey G. Wiegert","doi":"10.1016/j.biosystemseng.2024.05.018","DOIUrl":"https://doi.org/10.1016/j.biosystemseng.2024.05.018","url":null,"abstract":"<div><p>Accurate oestrous detection is critical to optimise sows' reproductive performance. The conventional method of oestrous detection relies on the laborious back-pressure test. This study presents an automated oestrous detection method for sows housed in individual stalls using a robotic imaging system and neural networks. A robotic imaging system consisting of a LiDAR camera was used to monitor a group of stall-housed sows at a 10-min interval to capture their postures and vulva volume. Imagery data were analysed using a previously developed pipeline. Results showed that significant changes were observed in daily standing index, sternal lying index, lateral lying index, posture change frequency, and vulva volume before the onset of oestrous. A 1-D convolutional neural network model architecture for oestrous detection was developed using Days from Weaning (DFW), behaviour features, and vulva volume features as inputs. The oestrous detection models were evaluated using 10-fold cross validation. The training and testing accuracies of the oestrous detection model were 96.1 ± 2.0% and 92.3 ± 10.1% when using the DFW and behaviour features as input. The model's training and testing accuracies increased to 98.1 ± 2.4% and 98.0 ± 4.2% when vulva volume features were added to the input. While it is difficult to trace the behaviour of sows housed in group conditions, combining vulva volume features with DFW could be a suitable method to detect the onset of oestrous in these sows. The training and testing accuracies of this method of oestrous detection were 97.9 ± 1.4% and 95.2 ± 4.8%. However, further validation under real group house conditions is needed.</p></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":"244 ","pages":"Pages 134-145"},"PeriodicalIF":5.1,"publicationDate":"2024-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1537511024001272/pdfft?md5=f5240c2eb0bd0829b9ab53f5ab3723de&pid=1-s2.0-S1537511024001272-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141328868","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