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CFD simulation of the mixing process and performance evaluation of a two-way flow Chinese dome digester Biosyst. Eng. (IF 5.1) Pub Date : 2024-03-14 Mfor E. Agborambang, Masaaki Fujiwara, Mutsumi Sekine, Pranshu Bhatia, Tatsuki Toda
The Chinese dome digester (CDD) is a cost-effective, self-mixed biodigester that is widely used in developing countries to treat biodegradable waste such as food waste. However, the scum formation owing to inadequate mixing remains a persistent issue in CDD operations. To address this issue, a newly designed two-way flow CDD (TWF-CDD) was proposed to improve mixing, prevent scum, and enhance methane
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Characterisation of pore structure of bulk wheat mixed with dockage using X-ray micro-computed tomography and deep learning Biosyst. Eng. (IF 5.1) Pub Date : 2024-03-12 Douglas Santos Carrillo, Fuji Jian, Digvir S. Jayas, Jitendra Paliwal
Characterisation of pore structure inside grain bulks is essential for predicting the airflow resistance during grain drying and aeration. Herein, the 3D pore network of wheat mixed with different percentages of canola and dockage was characterised. The characterised parameters include pore size, throat length, coordination number, airpath length, and tortuosity. To simulate the grain storage condition
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Architecture of a decentralised decision support system for futuristic beehives Biosyst. Eng. (IF 5.1) Pub Date : 2024-03-12 Vitalijs Komasilovs, Rob Mills, Armands Kviesis, Francesco Mondada, Aleksejs Zacepins
Honeybees are essential to human society, providing pollination services globally as well as producing honey and other valuable products. Effective management of apiaries should not only rely on beekeeper knowledge and skill, but also incorporate new information technologies. The options to identify, predict and prevent beekeeping problems are becoming more affordable and applicable. The interdisciplinary
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Evaluation of health identification method for plug seedling transplantation robots in greenhouse environment Biosyst. Eng. (IF 5.1) Pub Date : 2024-03-10 Yatao Li, Hong Wei, Junhua Tong, Zian Qiu, Chuanyu Wu
Accurate identification of healthy plug seedlings is vital to intelligent greenhouse transplanting. Based on machine vision, this study presents a method to improve the accuracy and efficiency of plug seedlings' health identification, which is achieved by using image pre-processing, multilayer perceptron neural network image segmentation and connectivity domain centre coordinate calculation. To reduce
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A fish appetite assessment method based on improved ByteTrack and spatiotemporal graph convolutional network Biosyst. Eng. (IF 5.1) Pub Date : 2024-03-10 Haixiang Zhao, Hongwu Cui, Keming Qu, Jianxin Zhu, Hao Li, Zhengguo Cui, Yuankai Wu
The appetite of fish significantly influences aquaculture efficiency and fish welfare. However, accurately assessing fish appetite has posed a challenging problem. Currently, the study of fish feeding behaviour relies primarily on the overall information obtained from images of fish schools, often overlooking the distinctive behavioural traits of individual fish. Analysing the behaviour of individual
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Flow rate uncertainty quantification of a microporous ceramic emitter Biosyst. Eng. (IF 5.1) Pub Date : 2024-03-07 Xufei Liu, Lin Zhang, Mengxue Han, Zhaoguo Wang, Jiasen Zhang
A new microporous ceramic emitter () was recently developed to reduce the investment cost of subsurface irrigation systems. Nevertheless, a dynamic mechanism in the flow rate uncertainty of was still unclear, which caused difficulty in making a water usage schedule for farmers. To address this issue, a simplified model was developed based on Darcy's law to quantify the emitter flow rate uncertainty
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Impact of canopy opener working height on spraying effect of a high clearance sprayer Biosyst. Eng. (IF 5.1) Pub Date : 2024-03-07 Jiangtao Qi, Xv Cong, Weirong Zhang, Hui Guo, Mao Li, Zhiyuan Bao, Sisi Yang
This study was aimed to solve the problem of low spraying effect in spraying deposition on both sides of maize leaves with different height canopy by traditional high clearance sprayers. The spray effect can be improved by installing the canopy opener on the boom sprayer. The deflection model of the maize stalk was established by the interaction process between the canopy opener and the maize stalk
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Acidification of livestock slurry and digestate to reduce NH3 emissions: Predicting needed H2SO4 dosage and pH trends over time based on their chemical-physical composition Biosyst. Eng. (IF 5.1) Pub Date : 2024-03-04 Alberto Finzi, Ali Heidarzadeh Vazifehkhoran, Elio Dinuccio, Roberto Ambrosini, Giorgio Provolo
Acidification is a well-known treatment to reduce NH emissions from livestock slurries by lowering their pH, but its application at the farm scale is still limited. The acid dosage depends on the acid strength and slurries composition. Acidification does not have a lasting effect and after the acid addition the slurry pH tends to rise due to its buffer system. By studying 54 samples of pig slurry,
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A comparative study of machine learning models for respiration rate prediction in dairy cows: Exploring algorithms, feature engineering, and model interpretation Biosyst. Eng. (IF 5.1) Pub Date : 2024-02-29 Geqi Yan, Wanying Zhao, Chaoyuan Wang, Zhengxiang Shi, Hao Li, Zhenwei Yu, Hongchao Jiao, Hai Lin
The respiration rate (RR) of dairy cows is a crucial welfare indicator for assessing heat stress in cows exposed to high temperatures. Machine learning (ML) models can automatically identify patterns from factors related to cow RR. This study utilised ML methods to establish a predictive model for cow RR using easily accessible variables in real production settings. A comparison of 20 ML algorithms
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Automatic acquisition, analysis and wilting measurement of cotton 3D phenotype based on point cloud Biosyst. Eng. (IF 5.1) Pub Date : 2024-02-28 Haoyuan Hao, Sheng Wu, YuanKun Li, Weiliang Wen, jiangchuan Fan, Yongjiang Zhang, Lvhan Zhuang, Longqin Xu, Hongxin Li, Xinyu Guo, Shuangyin Liu
This study constructed a high-throughput method for the acquisition and analysis of three-dimensional phenotypes of cotton, and proposes a method for evaluating the degree of wilting of cotton varieties based on phenotype. The upgraded version of the self-developed data acquisition platform MVS-Pheno V2 was used to continuously collect point cloud data. PointSegAt deep learning network model was used
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Simulation of full-film double-row furrow roller hole fertiliser application based on DEM-MBD coupling and research on its water and fertiliser transport law Biosyst. Eng. (IF 5.1) Pub Date : 2024-02-28 Huan Deng, Fei Dai, Ruijie Shi, Xuefeng Song, Wuyun Zhao, Haifu Pan
To optimise the under-membrane fertiliser application of “one film for two years” technology, this paper established the model of T1 and T2 roller hole applicators and adopted discrete element method - multi-body dynamics (DEM-MBD) coupling technology to simulate the under-membrane fertiliser application process and to optimise water and fertiliser application using transport laws under the whole-membrane
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Sensitivity analysis of lamp model parameters in energy and yield simulations of greenhouse Biosyst. Eng. (IF 5.1) Pub Date : 2024-02-27 Marie-Pier Trépanier, Louis Gosselin
Greenhouses offer a means to extend the growing season and increase local food production. However, greenhouses tend to be energy-intensive buildings. The choice of lighting systems strongly impacts energy consumption and crop yield. Simulations can help determine the optimal lighting conditions. However, lamp models typically include many parameters that are either unknown or hard to obtain. This
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Design assessment of grain inverters in cross-flow grain dryer via CFD-DEM numerical simulation Biosyst. Eng. (IF 5.1) Pub Date : 2024-02-23 Waseem Amjad, Zhengpu Chen, Kingsly Ambrose
Grain inverters are frequently installed in industrial-scale cross-flow grain dryers to provide consistent drying. Wide residence time distributions can result from an unfavourable grain inverter designs in cross-flow grain dryers, leading to uneven drying. In this study, a fluid particles interaction discrete-element method (DEM) coupled with a computational fluid dynamics (CFD) code were used to
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A biophysical model of apple (Malus domestica Borkh.) and pear (Pyrus communis L.) fruit growth Biosyst. Eng. (IF 5.1) Pub Date : 2024-02-23 Bart Dequeker, Jakub Šalagovič, Moges Retta, Pieter Verboven, Bart M. Nicolaï
Fruit mass and sugar content are important quality attributes of apple and pear fruit. During fruit growth, water and sugars accumulate as a result of the coordination of water and solid fluxes. This causes expansive growth driven by turgor pressure and controlled by cell mechanical properties. To analyse the effect of environmental conditions on fruit growth dynamics, a biophysical model of apple
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Simulation of the flow characteristics of a labyrinth milli-channel used in drip irrigation Biosyst. Eng. (IF 5.1) Pub Date : 2024-02-21 Heni Dallagi, Nassim Ait-Mouheb, Audrey Soric, Olivier Boiron
Water scarcity is a global concern, with irrigation of food crops contributing significantly to freshwater depletion. Drip irrigation technology reduces water consumption but faces issues like clogging in narrow discharge sections, diminishing efficiency, and increasing costs. Accurate prediction of flow characteristics and understanding parameters affecting biofilm growth and particle deposition is
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Numerical simulation of the effect of varying dispersion tooth insertion depth on the jet breakup and hydraulic performance Biosyst. Eng. (IF 5.1) Pub Date : 2024-02-20 Xuwei Pan, Yue Jiang, Hong Li, Xin Hui, Shouchen Xing
Varying the depth that a dispersion tooth is inserted into water jet can cause significant differences in the hydraulic performance of irrigation sprinklers. The effect of insertion depth on jet breakup was investigated by combining the fluid volume method, overset grid technology, and using adaptive grid refinement. Jet fragmentation mode, droplet characteristics, and entropy production were analysed
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Study on the performance of detection air duct and evaluation index of agricultural cleaning centrifugal fans Biosyst. Eng. (IF 5.1) Pub Date : 2024-02-20 Zheng Ma, Yongle Zhu, Jialei Li, Zhiqiang Song, Jie Yu, Yaoming Li, Lizhang Xu
Agricultural centrifugal fans play a pivotal role in agricultural machinery, particularly in the context of combine harvesters. The performance of these fans significantly impacts the overall operational efficiency of the machine. Given the absence of robust performance testing and evaluation methodologies for agricultural centrifugal fans, this study assesses fan performance by examining the actual
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Rabbit feeding robot: Autonomous navigation and precision feeding Biosyst. Eng. (IF 5.1) Pub Date : 2024-02-16 Wei Jiang, Hongyun Hao, Jiayu Fan, Liangju Wang, Hongying Wang
Feeding remains a critical component in rabbit farming. In rabbit production, precise feeding is imperative, given its significant role in augmenting feed efficiency, curtailing farming expenses, reducing disease prevalence and mortality rates, and lessening environmental pollution. This study presents the design and development of a rabbit feeding robot that synergises mobile robotics and mechanical
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Numerical simulation and experimental study of jet breakup using a water dispersal needle in irrigation sprinklers Biosyst. Eng. (IF 5.1) Pub Date : 2024-02-15 Xuwei Pan, Yue Jiang, Hong Li, Xin Hui, Shouchen Xing, Junaid N. Chauhdary
Introducing a water dispersal needle has been shown to be an effective way of improving the uniformity of water distribution from irrigation sprinklers. However, the jet breakup mechanism remains unknown. Here, the impacts of key parameters, including the insertion jet depth (), cone angle (), and distance from the nozzle outlet (), on jet breakup phenomena were investigated by simulation. A comprehensive
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Prediction uncertainty of greenhouse electrical power and gas demand: Part 1, the role of parameter uncertainty Biosyst. Eng. (IF 5.1) Pub Date : 2024-02-13 Henry James Payne, Eldert van Henten, Simon van Mourik
Within the modern greenhouse horticultural sector energy usage is planned using mathematical models that simulate the greenhouse’s future performance. These models contain parameters whose values can be inaccurate which create errors in model predictions. This reduces the effectiveness of energy management and planning done using these models. This study proposes and demonstrates an algorithm to quantify
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Prediction uncertainty of greenhouse electrical power and gas demand: Part 2, the role of parametric and weather forecast error Biosyst. Eng. (IF 5.1) Pub Date : 2024-02-09 H.J. Payne, E.J. van Henten, S. van Mourik
This study breaks new ground by assessing the influence of individual and collective errors in weather forecast variables and errors in model parameters on the prediction error of greenhouse power and gas demand. To achieve this a sample-based and a Polynomial Chaos based sensitivity analysis using higher order sensitivity indices is proposed. This is accompanied by a sensitivity analysis of the impact
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Study on separation of the tuber-soil binary mixture based on vibration and airflow coupling Biosyst. Eng. (IF 5.1) Pub Date : 2024-02-08 Sifang Long, Wenbo Wei, Dongfang Li, Shuo Kang, Jun Wang
One of the critical steps in the root crop harvesting process is screening tubers from soil. However, low screening efficiency seriously hinders the rapid development of the root crop industry. Clarifying the tuber-soil mixture separation behaviour and establishing the connection between vibration, airflow parameters, and separation index () is critical to increasing screening efficiency. Corydalis
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Boundary modelling of the effective suction domain of an air-suction seed-metering device for quasi-spherical seeds Biosyst. Eng. (IF 5.1) Pub Date : 2024-02-06 Zhaoyang Wang, Wei Su, Qinghui Lai, Junhong Li, Xiaojun Gao
The effective suction domain boundary directly affects the movement of seeds in air-suction seed-metering devices, thus the parameters involved can be optimised by analysing this pattern. However, relevant research on the effective suction domain boundary is scarce and vague. To further investigate the relevant theories of the effective suction domain boundary and the quantitative model, this study
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Picking patterns evaluation for cherry tomato robotic harvesting end-effector design Biosyst. Eng. (IF 5.1) Pub Date : 2024-02-05 Jin Gao, Fan Zhang, Junxiong Zhang, Hui Guo, Junfeng Gao
Picking cherry tomatoes is a time-consuming and labour-intensive task, and robots are an alternative solution to address this issue. The end effector is a key component of the harvesting robot, and it is crucial for achieving automated harvesting of cherry tomatoes. To develop efficient end effectors for picking robots, this study proposes a method to aid end effector design by evaluating and analysing
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Integrating in-field Vis-NIR leaf spectroscopy and deep learning feature extraction for growth-stage dependent and independent genotyping of wheat plants Biosyst. Eng. (IF 5.1) Pub Date : 2024-02-03 Bakhtiyar Salehi, Seyed Ahmad Mireei, Mehrnoosh Jafari, Abbas Hemmat, Mohammad Mahdi Majidi
The identification of different plant genotypes, particularly during various developmental stages, is challenging due to the high genetic diversity of agricultural products. In this study, the efficacy of visible and infrared leaf spectroscopy in identifying five wheat genotypes was assessed across three main growth stages: leaf opening, tillering, and flowering. Soft independent modelling of class
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Rapid identification of greenhouse tomato senescent leaves based on the sucrose-spectral quantitative prediction model Biosyst. Eng. (IF 5.1) Pub Date : 2024-02-03 Jiheng Ni, Yawen Xue, Yang Zhou, Minmin Miao
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Influence of speed measurement method on performance of an electric-drive maize precision planter Biosyst. Eng. (IF 5.1) Pub Date : 2024-01-31 Lin Ling, Guangwei Wu, Changkai Wen, Yuejin Xiao, Weiqiang Fu, Jianjun Dong, Jianhong Ding, Zhijun Meng, Bingxin Yan
An accurate speed measurement method is a prerequisite for an electric-drive precision planter. However, the influence of speed measurement methods on planting quality under different field conditions is unclear. In this paper, an electric-drive precision planter compatible with different speed measurement methods was built. Then, an experimental study was conducted to compare the influence of real-time
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Providing indoor and outdoor exercise to dairy cows: Assessment of effluent properties and gas emissions Biosyst. Eng. (IF 5.1) Pub Date : 2024-01-30 Alexis Ruiz-González, Elizabeth Álvarez-Chávez, Andrea K. Carranza-Díaz, Dupont-Fortin Béatrice, Joahnn H. Palacios, Stéphane Godbout, Sébastien Fournel
Enhancing movement options for confined dairy cows, like in tie-stall housing, may boost natural behaviour and welfare. Yet, limited data exists on the environmental impact of both indoor and outdoor exercise areas. This study investigates the impact of exercise pen type on effluent properties and gas emissions during winter and/or summer conditions in a northern country such as Canada. Forty-five
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A suction cup-based soft robotic gripper for cucumber harvesting: Design and validation Biosyst. Eng. (IF 5.1) Pub Date : 2024-01-29 Yuseung Jo, Yonghyun Park, Hyoung Il Son
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The charcoal cooling blanket: A scalable, simple, self-supporting evaporative cooling device for preserving fresh foods Biosyst. Eng. (IF 5.1) Pub Date : 2024-01-25 Thijs Defraeye, Seraina Schudel, Chandrima Shrivastava, Thomas Motmans, Kingsley Umani, Eleonora Crenna, Kanaha Shoji, Daniel Onwude
Evaporative cooling is a technology that has potential to help preserve fresh produce after harvest. This passive cooling solution is particularly interesting for marginal and smallholder farmers in remote, off-grid areas. Evaporative coolers are rarely deployed in these scenarios because there is a lack of simple, affordable, and small-scale systems. A charcoal cooling blanket has been designed and
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Intensity-modulated optical fibre strain sensor for continuous measurements of below-the-surface food deformation during drying Biosyst. Eng. (IF 5.1) Pub Date : 2024-01-22 Hamed Jafarishad, Mucheng Li, Yao Shen, Pawan Singh Takhar, Yuxiang Liu
Measurements of food deformation during drying processes are important for food quality control but remain challenging. A mm-scale optical fibre strain sensor is presented here to address this challenge. The sensor can be embedded in soft foods to provide continuous and distributed measurements of large food deformation below the surface during drying. The sensor performance was investigated by both
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Breakage simulations and experiments of granular fertilisers for optimizing a device of side-deep fertilisation by using the discrete element method Biosyst. Eng. (IF 5.1) Pub Date : 2024-01-20 Jiapeng Duan, Dawei Liu, Fangping Xie, Yarong Zhang, Peng Zheng
The investigation of the fragmentation law of granular fertilisers in side-deep fertilisation devices is crucial for optimizing machinery. In this paper, Hertz-Mindlin with Bonding was used to establish a granular fertiliser model with breakage properties. The single-factor and central composite tests were carried out with the screw pitch, screw speed, and Y-shaped mouth angle selected as the test
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Study of the grain particle-conveying performance of a bionic non-smooth-structure screw conveyor Biosyst. Eng. (IF 5.1) Pub Date : 2024-01-18 Zheng Ma, Zhiping Wu, Yufei Li, Zhiqiang Song, Jie Yu, Yaoming Li, Lizhang Xu
The screw conveying of agricultural materials is an important part of agricultural production that affects the operational efficiency of combine harvesters. The friction between materials and screw blades is an important factor hindering the improvement of conveying performance. The drag reduction effect of bionic non-smooth (BNS) surfaces has been verified in many fields, but its effect in granular
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Quantifying water stress in vineyards using a smartphone Biosyst. Eng. (IF 5.1) Pub Date : 2024-01-18 Livia Paleari, Lucio Brancadoro, Chiara Rusconi, Ermes Movedi, Stefano Poni, Martino Bolognini, Davide Modina, Leonardo Cunial, Matteo Gatti, Gabriele Cola, Davide Bianchi, Roberto Confalonieri
There is an increasing demand for tools able to optimise water management in cropping systems, especially in cases of dry areas or when water management has a deep effect on both the amount and quality of productions. A method is proposed to estimate grape stomatal conductance (gs) from 3D leaf scans obtained using a smartphone. The method is based (i) on the use of the 3D leaf scans to derive the
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Automatic detection of continuous pig cough in a complex piggery environment Biosyst. Eng. (IF 5.1) Pub Date : 2024-01-15 Xipeng Wang, Yanling Yin, Xinpeng Dai, Weizheng Shen, Shengli Kou, Baisheng Dai
Pig cough sound monitoring is an effective means of early warning for respiratory diseases. Until present, most studies focused on the investigation of high precision pig cough recognition algorithms based on manually segmented individual sound datasets. However, the recognition of continuous sound was mostly ignored, which cannot apply in practical engineering. Meanwhile, less consideration has been
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Pressurised sand bed filtration model: Set up and energy requirements for a filtration cycle Biosyst. Eng. (IF 5.1) Pub Date : 2024-01-12 Toni Pujol, Miquel Duran-Ros, Gerard Arbat, Sílvia Cufí, Joan Pujol, Francisco Ramírez de Cartagena, Jaume Puig-Bargués
Rapid deep bed filtration is a common process of drip irrigation systems to prevent emitter clogging. The particle retention in the porous media increases the pressure difference between the filter's inlet and outlet. Commercial operational instructions preset a threshold value of this pressure difference to define the end of a filtration cycle. Accurate particle retention models may contribute in
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Continuous curvature wayline generation using quadratic optimisation for agricultural machine guidance Biosyst. Eng. (IF 5.1) Pub Date : 2024-01-05 Liang Dong, Weizhong Yang, Long Wen, Xin Zhao, Aage Grøn Sørense Claus, Caicong Wu, Kun Zhou
Navigation systems are widely used in precision agriculture to improve efficiencies and yields. These systems guide agricultural machines to follow waylines calculated based on specific traffic patterns, including straight and curved waylines. While generating straight waylines is relatively straightforward, generating curved waylines presents challenges due to the variation in their shape and curvature
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Development of a crop growth model for the energy analysis of controlled agriculture environment spaces Biosyst. Eng. (IF 5.1) Pub Date : 2024-01-05 Marie-Hélène Talbot, Danielle Monfet
In controlled environment agriculture spaces, the conditions fluctuate between photoperiod and dark period, with crops growing continuously. As crops grow, their impact on the energy demand and energy use, often estimated using a building performance simulation tool, becomes more prominent. In this paper, a dynamic crop model integrated into a building performance simulation tool is proposed to estimate
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Comprehensive visual information acquisition for tomato picking robot based on multitask convolutional neural network Biosyst. Eng. (IF 5.1) Pub Date : 2024-01-06 Xiaoqiang Du, Zhichao Meng, Zenghong Ma, Lijun Zhao, Wenwu Lu, Hongchao Cheng, Yawei Wang
The tomato picking robot's vision system faces two difficult tasks: precise tomato pose acquisition and stem location. Tomato pose and stem location can help determine the end effector pose and achieve collision-free picking. To realise efficient crop picking, the tasks of target location, pose detection, and obstacle semantic segmentation should be completed in one model to obtain comprehensive visual
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Spatiotemporal variations in emission and particulate matter concentration outside a concentrated layer feeding operation Biosyst. Eng. (IF 5.1) Pub Date : 2024-01-04 Xiao Yang, Zongyang Li, Chaoyuan Wang, Shaojie Wang, Qian Hu, Yujian Lu
A year-round monitoring of Particulate Matter (PM) less than 2.5 μm in aerodynamic diameter (PM2.5) and Total Suspended Particulate (TSP) from a conventional cage laying hen house was conducted to reveal their spatiotemporal variations of concentrations downwind of tunnel fans. The PM Emission Rate (ER) and the correlations between PM with meteorological parameters and ventilation rate were studied
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Recognition of wheat rusts in a field environment based on improved DenseNet Biosyst. Eng. (IF 5.1) Pub Date : 2024-01-04 Shenglong Chang, Guijun Yang, Jinpeng Cheng, Ziheng Feng, Zehua Fan, Xinming Ma, Yong Li, Xiaodong Yang, Chunjiang Zhao
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Dynamic response of Camellia oleifera fruit-branch based on mathematical model and high-speed photography Biosyst. Eng. (IF 5.1) Pub Date : 2024-01-03 Rongyan Wang, Dong Fang, Cheng Wu, Baoyi Wang, Hongchun Zhu, Tao Hu, Delin Wu
In order to study the motion law and shedding characteristics of fruits during the vibration harvesting process of Camellia oleifera fruit. The dynamic equation of fruit-branch picking was established, the vibration output solution and picking inertial force of Camellia oleifera fruit forced vibration were solved by mathematical methods, and the spectral curve between picking force and frequency when
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Near-infrared spectroscopy combined with effective variable selection algorithm for rapid detection of rice taste quality Biosyst. Eng. (IF 5.1) Pub Date : 2024-01-01 Shijie Shi, Wenhui Zhang, Yingying Ma, Cougui Cao, Gaoyu Zhang, Yang Jiang
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Assessing fusarium oxysporum disease severity in cotton using unmanned aerial system images and a hybrid domain adaptation deep learning time series model Biosyst. Eng. (IF 5.1) Pub Date : 2024-01-01 Alwaseela Abdalla, Terry A. Wheeler, Jane Dever, Zhe Lin, Joel Arce, Wenxuan Guo
Currently, deep learning has achieved remarkable success in estimating plant disease from unmanned aerial system (UAS) images. However, two critical challenges remain unexplored: spatiotemporal variations in disease symptoms and the domain shift between source and target datasets. To overcome these challenges, this paper proposes an approach that incorporates temporal aspects of disease progression
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Numerical analysis of snow distribution on greenhouse roofs using CFD–DEM coupling method Biosyst. Eng. (IF 5.1) Pub Date : 2023-12-30 Young-Bae Choi, Rack-Woo Kim, In-bok Lee
Recently, owing to abnormal climate caused by climate change, the frequency of heavy snow has increased, resulting in increased damage to horticultural facilities. Therefore, considering the characteristics of snow distribution, simulating the distribution of snow on the greenhouse is required. Additionally, because it is difficult to artificially design the experimental environment for measuring snow
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Calibration and experimental verification of discrete element parameters for modelling feed pelleting Biosyst. Eng. (IF 5.1) Pub Date : 2023-12-28 Wanfeng Sun, Yu Sun, Yu Wang, Haomeng He
The discrete element method (DEM) has demonstrated significant advantages in modelling feed-tool interaction. The selection of an appropriate contact model and its parameter calibration is crucial for developing effective DEM simulations. A DEM model of feed powder was developed to forecast powder compression and densification in feed pelleting by using the Edinburgh elasto-plastic adhesion contact
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Soil failure characteristics and loosening effectivity of compacted grassland by subsoilers with different plough points Biosyst. Eng. (IF 5.1) Pub Date : 2023-12-28 Xuening Zhang, Yong You, Decheng Wang, Zhaoyu Wang, Yangyang Liao, Sibiao Li
Mechanical disturbance of compacted grassland soil can reduce the compaction level. This paper aimed to provide recommendations for optimising plough point design and the formulation of grassland loosening operation standards by analysing the disturbance degree and loosening effectivity of compacted grassland soil. A grassland disturbance test was conducted by using different types of plough points
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Energy consumption of the biomass cutting process preceding the biofuel production Biosyst. Eng. (IF 5.1) Pub Date : 2023-12-27 D. Wilczyński, K. Talaśka, D. Wojtkowiak, J. Górecki, K. Wałęsa
This paper explores the effects of various parameters on the triticale straw cutting process and the subsequent biomass yield. The impact of blade angle (α), rake angle (β), and the distance between the blade and counter-blade (g) were examined in relation to the shaft torque (Td) on the cutting knife drum, the energy consumption (Ec), and the required power (P) for processing straw. Heterogeneity
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Data fusion of FT-NIR spectroscopy and Vis/NIR hyperspectral imaging to predict quality parameters of yellow flesh “Jintao” kiwifruit Biosyst. Eng. (IF 5.1) Pub Date : 2023-12-27 Chiara Cevoli, Eleonora Iaccheri, Angelo Fabbri, Luigi Ragni
The internal quality of kiwifruit, in terms of soluble solid content (SSC), flesh firmness (FF), and dry matter (DM), is widely recognised as a key feature for fruit sorting and pre-harvest assessment. Furthermore, flesh hue (FH) is another important parameter to consider for yellow flesh kiwifruits. NIR and VIS/NIR spectroscopic techniques are valuable alternatives for rapid and non-destructively
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Wind-tree interaction: Technologies, measurement systems for tree motion studies and future trends Biosyst. Eng. (IF 5.1) Pub Date : 2023-12-25 Francesco Zanotto, Luca Marchi, Stefano Grigolato
This review deals with the current research on wind-tree interaction, focusing on methods and technologies applied on tree monitoring. 101 studies were included and classified according to the different biomechanical approach used, dividing them according to methods and technologies applied. The studies were selected following the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA)
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Finite element analysis of the dynamic behaviour of table grapes during mechanical harvesting Biosyst. Eng. (IF 5.1) Pub Date : 2023-12-22 De Yan, Shiyin Qiu, Wentao Liu, Lufeng Luo, Yuan Liu
The finite element analysis method, combined with impact analysis, was used to study the dynamic behaviour of grape berries in the horizontal and vertical directions under excitation. It was shown that grapes exhibit various behaviour forms, such as the single-berry bouncing, squeezing two-berries jumping, squeezing three-berries shaking, squeezing four-berries swing and micro-swinging of grape in
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When graphene meets circular agriculture: Insights into agricultural sustainable development Biosyst. Eng. (IF 5.1) Pub Date : 2023-12-17 Lijiao Li, Yuanmou Tang, Zhijie Bao, Wenying Tu, Lianxin Peng, Liang Zou, Changsong Zhao, Qiang Li
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Calibration and measurement of micrometre-scale pollen particles for discrete element method parameters based on the Johnson-Kendal-Roberts model Biosyst. Eng. (IF 5.1) Pub Date : 2023-12-16 Qiang Shi, Bin Wang, Hanping Mao, Yong Liu
Discrete element method (DEM) parameters are the basis for modelling the motion of particle systems. To verify the practicality of calibrating DEM simulation parameters for micrometre-sized pollen particles, spherical micrometre-sized tomato pollen was selected as the research object for a parameter calibration experiment. Constitutive parameters such as the pollen morphology, diameter, and density
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Digital Twins analysis as a tool to find new descriptors for grapevine bunch morphology categorisation and grey mould infection risk evaluation Biosyst. Eng. (IF 5.1) Pub Date : 2023-12-14 Alessandro Zanchin, Marco Sozzi, Domenico Giora, Mahshid Kalantari, Nicola Belfiore, Josef Terleth, Diego Tomasi, Francesco Marinello
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Discrete element method simulation of rice grains impact fracture characteristics Biosyst. Eng. (IF 5.1) Pub Date : 2023-12-08 Han Tang, Guixuan Zhu, Wenlong Xu, Changsu Xu, Jinwu Wang
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Natural frequency identification model based on BP neural network for Camellia oleifera fruit harvesting Biosyst. Eng. (IF 5.1) Pub Date : 2023-12-06 Xiaoqiang Du, Xintao Han, Tengfei Shen, Zhichao Meng, Kaizhan Chen, Xiaohua Yao, Yongqing Cao, Sergio Castro-García
Vibratory harvesting is an important means of mechanically harvesting tree fruit. The optimal excitation parameters are usually experimentally determined under complex conditions with different environments and machine configurations. Optimisation methods include tree modelling and dynamic analysis but experimental validation can take much time due to the complexity of tree structure and properties
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Effects of different picking patterns and sequences on the vibration of apples on the same branch Biosyst. Eng. (IF 5.1) Pub Date : 2023-12-02 Guangrui Hu, Jianguo Zhou, Qingyu Chen, Tongyun Luo, Puhang Li, Yu Chen, Shuo Zhang, Jun Chen
Robots picking apples cause vibration of other fruit on the same branch and fruit may even fall off. This not only affects subsequent picking, but also causes fruit loss. In this research, the branch-fruit system was taken as the research object, and a mixed-mode cohesive contact model was used to simulate the tangential and directional mechanical behaviour of fruit detachment. The branch with apples
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Development of new indices and use of CARS-Ridge algorithm for wheat fusarium head blight detection using in-situ hyperspectral data Biosyst. Eng. (IF 5.1) Pub Date : 2023-12-01 Hansu Zhang, Jinling Zhao, Linsheng Huang, Wenjiang Huang, Yingying Dong, Huiqin Ma, Chao Ruan
Wheat Fusarium head blight (FHB) poses a significant threat to wheat quality and yield. However, accurately identifying the disease in wheat ears remains challenging due to limited data and weak hyperspectral signals. This study aimed to address these issues by obtaining effective wheat canopy hyperspectral data over three years of successive experiments. To reduce band redundancy and improve accuracy