Biosystems Engineering最新文献

{"title":"Effect of the diffuser plate design on the solid removal efficiency of a commercial pressurised sand filter","authors":"Fábio Ponciano de Deus,&nbsp;Gabriel Dlouhy Alcon,&nbsp;Michael Silveira Thebaldi,&nbsp;Adriano Valentim Diotto","doi":"10.1016/j.biosystemseng.2025.104121","DOIUrl":"10.1016/j.biosystemseng.2025.104121","url":null,"abstract":"<div><div>Proper diffuser plate design can significantly improve flow distribution during filtration in a pressurised sand filter, thus, as hypothesis, this improvement in flow distribution may increase solid removal efficiency. Based on this perspective, this study aims to evaluate the influence of the diffuser plate design on the solid removal efficiency by combining different filtering layer heights and filtration rates, during filtration in a commercial pressurised sand filter. The experiment was performed in a hydraulic bench built as an open-circuit water circulator using water from a stream. Two diffuser plate designs (manufactured model and proposed model) were evaluated, assessing two filtering layer heights (0.225 and 0.45 m) and two filtration rates (20 and 75 m h⁻¹). The proposed diffuser plate model did not show better results regarding solids removal, indicating that a better flow distribution over the filter surface bed did not increase the solids removal capacity. Additionally, it was observed that using the highest filtering layer height and lower filtration rate leads to the highest solids removal efficiency. There is a need to improve the methodology to achieve a more reliable estimate of solid removal efficiency of sand media filters during the filtering process. The temporal variability of the filtered effluent compromised the evaluation quality.</div></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":"253 ","pages":"Article 104121"},"PeriodicalIF":4.4,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143643874","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}

{"title":"Wind tunnel study on effect of wind directions on ventilation inside a naturally ventilated pig barn with an outdoor yard","authors":"Xuefei Wu ,&nbsp;David Janke ,&nbsp;Sabrina Hempel ,&nbsp;Jürgen Zentek ,&nbsp;Barbara Amon ,&nbsp;Thomas Amon ,&nbsp;Qianying Yi","doi":"10.1016/j.biosystemseng.2025.104123","DOIUrl":"10.1016/j.biosystemseng.2025.104123","url":null,"abstract":"<div><div>Naturally ventilated pig barns equipped with outdoor exercise yards (NVPBOYs) have the potential to alleviate issues related to poor animal well-being and excessive gaseous emissions compared with conventional intensive pig farming. However, as a novel pig housing system, the information on the ventilation process of NVPBOYs with respect to variable outdoor wind directions remains unclear. Therefore, the objective of this study is to investigate the influence of wind direction on the indoor airflow pattern and ventilation rate of NVPBOYs. The investigations were performed using a 1:50 scale model of an NVPBOY in a large boundary layer wind tunnel. Air velocities inside the scaled model under four wind directions (0 <span><math><mrow><mo>°</mo></mrow></math></span>, 60 <span><math><mrow><mo>°</mo></mrow></math></span>, 120 <span><math><mrow><mo>°</mo></mrow></math></span>, and 180 <span><math><mrow><mo>°</mo></mrow></math></span>) were measured using a Laser Doppler Anemometer. The results indicate that: 1) Airflow patterns in the exercise yard are more sensitive to the changes in wind direction compared to those in the indoor room. 2) Oblique wind (60 <span><math><mrow><mo>°</mo></mrow></math></span> and 120 <span><math><mrow><mo>°</mo></mrow></math></span>) results in lower ventilation rates, accounting for 50 %–65 % of the ventilation rate observed under perpendicular winds (0 <span><math><mrow><mo>°</mo></mrow></math></span> and 180 <span><math><mrow><mo>°</mo></mrow></math></span>). 3)The yard directs the high-speed air stream to the upper part of the barn. The pitched roof and the gable wall of the indoor room lead the fresh air to the animal-occupied zone in the indoor room. The yard and the indoor room thus result in different local environments between them, supporting the intended purpose of the NVPBOYs to separate pigs’ excretion and sleeping areas. The results of this study contribute to a good understanding of the ventilation process of NVPBOYs to achieve a better design and control of their housing and ventilation systems.</div></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":"253 ","pages":"Article 104123"},"PeriodicalIF":4.4,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143631727","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}

{"title":"Compliant picking control of dragon fruit picking robot based on adaptive variable impedance","authors":"Zongbin Wang ,&nbsp;Kairan Lou ,&nbsp;Bin Zhang ,&nbsp;Yang Gu ,&nbsp;Qiu Xu ,&nbsp;Wei Fu","doi":"10.1016/j.biosystemseng.2025.02.014","DOIUrl":"10.1016/j.biosystemseng.2025.02.014","url":null,"abstract":"<div><div>In response to the challenges of picking dragon fruit and the mechanical damage caused to the fruit by picking robots, this study developed a control system for the dragon fruit picking robot. A compliant picking control method for dragon fruit was proposed, which includes a picking strategy and an impedance control algorithm. The picking strategy utilises force sensors to improve the positioning ability of the fruit stalk and picking effect of the manipulator. Based on impedance control theory, a contact force model between the robot and the orchard environment was established, and the adaptive variable impedance control algorithm was improved. The contact force is used as the feedback of the adaptive variable impedance control, and the damping parameters are adaptively adjusted to adjust the contact force between the robot and the orchard environment, thereby reducing potential damage caused by abnormal picking. The picking trial results indicated that the overshoot of the robot under adaptive variable impedance control was 4.53%, with an adjustment time of 3.54 s, reducing by 3.83% and 0.77 s compared to traditional impedance control. The average time to pick a single dragon fruit under adaptive variable impedance control was 36.07 s, with an average success rate of 68.69% and a relatively low damage rate of 20.5%. The designed dragon fruit picking robot is capable of successfully detecting and adapting to occurring anomalies to minimise damage, effectively lowering the damage rate and improving the picking success rate, providing theoretical and technical support for the safe and compliant picking of dragon fruit.</div></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":"252 ","pages":"Pages 126-143"},"PeriodicalIF":4.4,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143609782","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}

{"title":"Recognition in the early stage of powdery mildew damage for cucurbits plants using spectral signatures","authors":"Claudia Angélica Rivera-Romero ,&nbsp;Elvia Ruth Palacios-Hernández ,&nbsp;Jorge Ulises Muñoz-Minjares ,&nbsp;Osbaldo Vite-Chávez ,&nbsp;Roberto Olivera-Reyna ,&nbsp;Iván Alfonso Reyes-Portillo","doi":"10.1016/j.biosystemseng.2025.03.001","DOIUrl":"10.1016/j.biosystemseng.2025.03.001","url":null,"abstract":"<div><div>One of the most significant diseases affecting cucurbit plants is powdery mildew, which causes substantial yield losses in both greenhouses and field crops, especially during the winter and summer periods. Therefore, early diagnosis and detection are essential for effective pathogen control. An advanced, non-invasive method was developed for remotely sensing this fungal disease and assessing damage levels using spectral reflectance. The primary objective of this study is to detect the onset of the disease before the first visible symptoms appear on the leaves through the use of vegetation indices. To achieve this, statistical analyses and multiple comparison tests were employed for feature selection, in combination with machine learning algorithms, such as a Support Vector Machine. The results demonstrated high reliability in distinguishing between healthy and infected cucurbit leaves with powdery mildew. By calculating vegetation indices (VIs), seven optimal features were identified, enabling the recognition of three damage levels with 98% accuracy and a Cohen's <span><math><mrow><mi>κ</mi></mrow></math></span> coefficient of up to 0.96. Spectral reflectance successfully differentiated powdery mildew damage levels in cucurbit plants, suggesting that this method could be recommended for crops with similar characteristics.</div></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":"252 ","pages":"Pages 144-158"},"PeriodicalIF":4.4,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143621020","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}

{"title":"Evaluation of the cubicle hood sampler for monitoring methane production of dairy cows under barn conditions","authors":"Cécile M. Levrault ,&nbsp;Peter W.G. Groot Koerkamp ,&nbsp;Carel F.W. Peeters ,&nbsp;Nico W.M. Ogink","doi":"10.1016/j.biosystemseng.2025.02.008","DOIUrl":"10.1016/j.biosystemseng.2025.02.008","url":null,"abstract":"<div><div>Monitoring methane production from individual cows is necessary to evaluate the success of greenhouse gas reduction strategies. However, monitoring methane production rates (<strong>MPR</strong>) under practical conditions remains challenging. In this paper, we investigate the performance of a potential solution to this challenge.</div><div>The cubicle hood sampler (<strong>CHS</strong>) is an on-barn monitoring device placed in cubicles that collects the air exhaled by the animals while they lie down. The MPR of 28 dairy cows were measured by four CHS devices and compared to the levels measured by climate respiration chambers (<strong>CRC</strong>). A linear regression showed no strong correlation between the two sets of estimates (<em>r</em> = 0.24). The estimates made by the CHS appeared to be inaccurate due to a sampling bias (insufficient breath recovery), which could not be corrected for. Using Bayesian modelling, information was pooled across individuals to model complete methane production curves and potentially improve the accuracy of the MPR estimates. However, the model was unable to compensate for the biased observations used for fitting, and accuracy levels did not improve. An under-recovery of the breath samples by the hood is suspected. These issues must be resolved. Nevertheless, the CHS ranked cows satisfactorily, with Kendall W values of 0.625 (<em>p</em> = 0.201) in the original dataset, and 0.659 (<em>p</em> = 0.214) after using the model. Resolving the bias issue is expected to have a simultaneous positive effect on the agreement between the two MPR rankings. We recommend to keep using the model to convert discrete measurements into methane production curves.</div></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":"252 ","pages":"Pages 115-125"},"PeriodicalIF":4.4,"publicationDate":"2025-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143580521","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}

{"title":"Microcosm fabrication platform for live microscopy of plant-soil systems","authors":"Yangminghao Liu ,&nbsp;Daniel Patko ,&nbsp;Alberto Lora de la Mata ,&nbsp;Xingshui Dong ,&nbsp;Emma Gomez Peral ,&nbsp;Xinhua He ,&nbsp;Bruno Ameduri ,&nbsp;Vincent Ladmiral ,&nbsp;Michael P. MacDonald ,&nbsp;Lionel X. Dupuy","doi":"10.1016/j.biosystemseng.2025.02.006","DOIUrl":"10.1016/j.biosystemseng.2025.02.006","url":null,"abstract":"<div><div>Our ability to fully understand how plants acquire water and nutrients from the soil is constrained by the limitations of current technologies. Soil structures and properties are complex, dynamic, and profoundly modified by root and microbial secretions. Detailed descriptions of soil properties are rarely available to the researcher because natural soil is opaque, making direct observations challenging. To address these experimental difficulties, microcosm systems dedicated to live imaging of rhizosphere processes in highly controlled environmental conditions were developed. The system is based on fluorinated granular materials with low refractive indices, termed transparent soils. Microcosm chambers were assembled using poly(dimethyl siloxane) parts (PDMS) fabricated by injection moulding and subsequently joined to glass slides. The control of liquid fluxes in the microcosm was achieved by syringes passing through the PDMS parts or through custom made PDMS sponges. The platform was tested for live imaging experiments using Light Sheet Fluorescence microscopy. Results demonstrated that the platform is suitable for a diverse range of experiments, including live observation of plant roots, split-soil systems and investigations into the effects of soil heterogeneity, controlled water content experiments, and dye tracer monitoring. The technique was used to quantify the increase in infiltration rate due to the presence of roots in soil. This study demonstrates the potential of combining new materials and microfabrication techniques to overcome current limitations on plant-soil interaction research.</div></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":"252 ","pages":"Pages 105-114"},"PeriodicalIF":4.4,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143580520","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}

{"title":"Deep learning-based model to classify mastitis in Holstein dairy cows","authors":"Mengyuan Chu ,&nbsp;Yongsheng Si ,&nbsp;Qian Li ,&nbsp;Xiaowen Liu ,&nbsp;Gang Liu","doi":"10.1016/j.biosystemseng.2025.02.013","DOIUrl":"10.1016/j.biosystemseng.2025.02.013","url":null,"abstract":"<div><div>The occurrence and prevalence of dairy cow mastitis has brought significant challenges to animal welfare and economy. To overcome the complexities and accumulated errors present in previous detection methods, a rapid and accurate mastitis detection approach is developed based on image processing and deep learning, leveraging thermal infrared imaging. Image processing techniques, including the Hough transform and morphological operations, are used to classify affected cows from thermal images. An image pyramid is constructed based on upsampling to tackle motion blur induced by the cows' rapid movement. The multi-scale convolution and the spatial and channel Squeeze &amp; Excitation (scSE) block were integrated into the DenseNet-201 architecture to enhance the feature extraction process. This enabled the network to adaptively recalibrate channel-wise feature responses and strengthening the discriminative power of the learned representations. For mastitis detection, a deep learning model, the multi-scale scSE-DenseNet-201 (MS-scSE-DenseNet-201) architecture, is refined to predict the severity of mastitis. The framework takes images of both sides of the cow's udder as input, and outputs one of three mastitis severity levels: negative (N), subclinical mastitis (SCM), or clinical mastitis (CM). To assess the model's performance in detecting mastitis, a dataset comprising 5000 thermal images from 802 cows, was used. The model achieved accuracy, precision, and recall of 90.18%, 92.16%, and 88.38%, respectively, showing notable improvement over previous methods. This work integrated object segmentation and blind deblurring to strengthen the MS-scSE-DenseNet-201 in the automatic detection of cow mastitis, which will open a promising application horizon for other animal disease diagnostics.</div></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":"252 ","pages":"Pages 92-104"},"PeriodicalIF":4.4,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143551919","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}

{"title":"Citrus fruit diameter estimation in the field using monocular camera","authors":"Hongchun Qu ,&nbsp;Haitong Du ,&nbsp;Xiaoming Tang ,&nbsp;Shidong Zhai","doi":"10.1016/j.biosystemseng.2025.02.012","DOIUrl":"10.1016/j.biosystemseng.2025.02.012","url":null,"abstract":"<div><div>Accurate and efficient measurement of citrus fruit size is essential for managing tree form and estimating yields. Conventional manual methods are reliable but highly labour-intensive, while existing machine vision solutions often require specialised setups (e.g., distance calibration or 3D sensors). In this study, a low-cost, monocular-based framework that uses mature and healthy leaves as natural reference objects was proposed, eliminating the need for manual markers or complex camera parameter calibration. By compiling an offline leaf-size distribution from multiple citrus varieties, this method automatically converts fruit pixels to real-world diameters using the largest near-frontal leaf in each image. Further, the work integrates the deformable convolution (DNCv2) and shuffle attention (SA) into a YOLOv8 detector to improve occlusion handling, ensuring robust detection even when fruits are partially obscured by foliage. Extensive validation on three different citrus cultivars shows that leaf-size variability contributes less than 3.2% relative error in diameter estimation, while the overall approach achieves 93.14% accuracy and <em>R</em>² = 0.76. Key contributions include: (1) a novel monocular technique leveraging inherent orchard elements (leaves) as references, (2) advanced detection modules to tackle partial occlusion, (3) cross-variety validation demonstrating consistent performance, and (4) a fast, user-friendly workflow suitable for real-world orchard applications. Future work will explore multi-frame or multi-view strategies to further refine diameter measurement under heavy occlusion.</div></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":"252 ","pages":"Pages 47-60"},"PeriodicalIF":4.4,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143510032","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}

{"title":"Mechanism of rice bran removal at individual grain and population levels in abrasive rice mill","authors":"Ze Sun ,&nbsp;Xinlei Wang ,&nbsp;Anqi Li ,&nbsp;Jiaming Fei ,&nbsp;Wenyu Feng ,&nbsp;Dan Zhao ,&nbsp;Yanlong Han ,&nbsp;Fuguo Jia ,&nbsp;Hao Li ,&nbsp;Shouyu Ji ,&nbsp;Zhuozhuang Li","doi":"10.1016/j.biosystemseng.2025.02.010","DOIUrl":"10.1016/j.biosystemseng.2025.02.010","url":null,"abstract":"<div><div>In the process of rice bran layer removal using abrasive rice mills, over-milling will result in nutritional loss, while under-milling will result in poor palatability. However, achieving moderate milling with an abrasive rice mill can be challenging due to the rice bran layer removal mechanism. This study investigates the mechanism of bran layer removal in abrasive rice mills by analysing the wear and structural characteristics on the rice surface, as well as the motion of rice grains in the milling chamber. The results showed that surface wear due to the contact of the rice grains with the grit was the main reason for debranning. At the individual grain level, the process of removing the bran layer in the abrasive rice mill is phased, synchronised, and orderly. The removal process can be divided into three stages depending on the morphology of the residual bran layer and the wear mechanism. The rotation motion leads to the synchronous removal of the bran layer in different regions of the rice grains. The bran layer in different regions is removed sequentially due to the varying number of depressions. At the rice population level, the axial and radial positions exchange of the rice grains in the milling chamber ensures overall uniformity in removing the rice bran layer. These findings are valuable for optimising the design of the abrasive mills and guiding the mill uniformity in similar types of mills.</div></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":"252 ","pages":"Pages 32-46"},"PeriodicalIF":4.4,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143510031","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}

{"title":"Detection and tracking of oestrus dairy cows based on improved YOLOv8n and TransT models","authors":"Zheng Wang ,&nbsp;Hongxing Deng ,&nbsp;Shujin Zhang ,&nbsp;Xingshi Xu ,&nbsp;Yuchen Wen ,&nbsp;Huaibo Song","doi":"10.1016/j.biosystemseng.2025.02.005","DOIUrl":"10.1016/j.biosystemseng.2025.02.005","url":null,"abstract":"<div><div>Real-time monitoring of oestrus cows in dairy farming is labour-intensive and time-consuming. To achieve accurate detection and real-time positioning of oestrus cows in natural scenes, a model named YOLO-TransT, integrating the improved YOLOv8n and Transformer Tracking (TransT) models, was proposed for oestrus cow detection and tracking. Firstly, the Context Augmentation Module (CAM) was incorporated into YOLOv8n to enhance the model's focus on the oestrus cow by associating with mounting behaviour; Secondly, the Squeeze-and-Excitation (SE) module was introduced to boost the network's learning ability and suppress redundant features; Thirdly, the improved YOLOv8n and TransT were integrated to obtain the YOLO-TransT model, which realised the detection and tracking of oestrus cow; Finally, based on YOLO-TransT, a cow oestrus monitoring and warning system was designed. The experimental results showed that in the detection part of the YOLO-TransT, the improved YOLOv8n achieved a 92.60% Average Precision of oestrus (AP_oestrus), 92.00% F1-score, with 3.14 M parameters, 9.70 G Floating-point Operations (FLOPs), and a 7.0 ms/frame detection speed. Compared to the original YOLOv8n, the improved YOLOv8n had increased AP_oestrus by 4.10% and F1-score by 3.25%, while keeping the parameters, FLOPs, and detection speed essentially unchanged; In the tracking part, the TransT model had a tracking success rate of 70.3%, a precision value of 85.5%, and an Area under Curve (AUC) value of 71.4%. In conclusion, the YOLO-TransT could accurately detect and track oestrus cows in natural scenes, laying the foundation for intelligent livestock breeding. The dataset and code were released on GitHub (<span><span>https://github.com/XingshiXu/ZhengWang_YOLO-TransT</span><svg><path></path></svg></span>).</div></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":"252 ","pages":"Pages 61-76"},"PeriodicalIF":4.4,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143527127","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}