Biosystems Engineering最新文献

Development of a FDEM model for cotton stalks based on biomechanical and structural properties 基于生物力学和结构特性的棉花秸秆FDEM模型的建立

IF 5.3 1区农林科学

Biosystems Engineering Pub Date : 2025-10-08 DOI: 10.1016/j.biosystemseng.2025.104301

Xirui Yang , Peiyu Chen , Xingyu Wang , Haiyang Liu , Chen Ding , Haipeng Lan , Hong Zhang

{"title":"Development of a FDEM model for cotton stalks based on biomechanical and structural properties","authors":"Xirui Yang , Peiyu Chen , Xingyu Wang , Haiyang Liu , Chen Ding , Haipeng Lan , Hong Zhang","doi":"10.1016/j.biosystemseng.2025.104301","DOIUrl":"10.1016/j.biosystemseng.2025.104301","url":null,"abstract":"<div><div>In the mechanised recovery process of drip irrigation tapes, the crossing of side branches and lodged cotton stalks (CS) are significant factors contributing to the increased breakage rate. Effectively cutting the cotton stalks is key to solving this issue. Constructing a multi-scale numerical model of cotton stalks is a breakthrough method for studying their fracture process. This study analyses the mechanical properties and structural composition of different sections of cotton stalk. Based on this, adopts a finite-discrete element method (FDEM) combined with zero-thickness cohesive elements to construct a numerical model of the cotton stalk, and the model's accuracy was validated through random sampling. The results indicate that the proportion of lignified tissues in the CS gradually decreases from the base to the top, and the load-bearing capacity of the CS shifts from strong compressive and shear resistance to greater ductility and tensile strength, while the compressive force values exhibit a decreasing trend with the presence of jump points, the average values of which are located at 14.5 % (base), 56.2 % (middle), and 29.3 % (top) of the CS length. The constructed composite model of the cotton stalk accurately replicates its mechanical properties, force transfer, and damage evolution processes. The Spearman correlation coefficients for the random sampling simulation and experimental validation of CS at different sections reached 0.9998 (base) and 0.9207 (top), respectively. This study offers a groundbreaking method for investigating CS damage mechanisms and can also offer technical guidance for the recovery of drip irrigation tapes under this irrigation management model.</div></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":"260 ","pages":"Article 104301"},"PeriodicalIF":5.3,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145236445","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

Investigation on heat transfer characteristic of deformable high aspect-ratio biomass particle system in rotary drums with baffles 可变形高长径比生物质颗粒系统挡板转鼓传热特性研究

IF 5.3 1区农林科学

Biosystems Engineering Pub Date : 2025-10-01 DOI: 10.1016/j.biosystemseng.2025.104299

Conghui Gu , Yufan Zhang , Yuan Liu , Huiqian Yin , Xingyu Liang , Jingyu Zhu , Kaiyuan Deng , Zhulin Yuan

{"title":"Investigation on heat transfer characteristic of deformable high aspect-ratio biomass particle system in rotary drums with baffles","authors":"Conghui Gu , Yufan Zhang , Yuan Liu , Huiqian Yin , Xingyu Liang , Jingyu Zhu , Kaiyuan Deng , Zhulin Yuan","doi":"10.1016/j.biosystemseng.2025.104299","DOIUrl":"10.1016/j.biosystemseng.2025.104299","url":null,"abstract":"<div><div>With the development of carbon reduction technologies, the energy conversion efficiency of the wet biomass particle system has attracted increasing attention. Heat transfer within these systems is a critical factor influencing combustion performance. In this study, experimental and simulation methods were used to investigate the behaviour of deformable high aspect-ratio biomass particles within different structural rotary drums. The particle heat transfer model of deformable high aspect-ratio biomass particles was established and validated. By comparing the simulation results with experimental data, good consistency was demonstrated. It systematically investigates the effects of drum rotation speed, the number of baffles, and drum temperature on the mixing and heat transfer processes of the biomass particle system. It was found that increasing the drum rotation speed facilitates heat transfer in the particles. The best heat transfer efficiency was observed at a speed of 10 r min<sup>−1</sup>. As the mixing index improved, the heat exchange between particles became more efficient, and higher mixing index led to improved heat transfer efficiency. The highest mixing index reached 0.55, resulting in a notable increase in temperature. Moreover, increasing the number of baffles improved the uniformity of the particle temperature distribution, and optimising the drum temperature further enhanced heat transfer. The optimal results were achieved with 6 baffles and the drum wall temperature of 403.15 K. These findings provide valuable insights for improving energy efficiency in biomass systems.</div></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":"259 ","pages":"Article 104299"},"PeriodicalIF":5.3,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145217534","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

Variations of multiple environmental factors and multi-objective optimisation control in a pig house 猪舍多环境因素变化与多目标优化控制

IF 5.3 1区农林科学

Biosystems Engineering Pub Date : 2025-10-01 DOI: 10.1016/j.biosystemseng.2025.104300

Xiaofei Sun , Shengchao Wang , Qiuju Xie , Congcong Sun , Haiming Yu , Wenfeng Wang

{"title":"Variations of multiple environmental factors and multi-objective optimisation control in a pig house","authors":"Xiaofei Sun , Shengchao Wang , Qiuju Xie , Congcong Sun , Haiming Yu , Wenfeng Wang","doi":"10.1016/j.biosystemseng.2025.104300","DOIUrl":"10.1016/j.biosystemseng.2025.104300","url":null,"abstract":"<div><div>With the increasing scale and intensification of pig farming, the environmental quality of pig houses has become crucial for pigs' health and reproductive ability. Numerous environmental factors in the pig house have formed a complex nonlinear microclimate environment that is dynamic, time-varying, and coupled, making it difficult to achieve precise control of the environment. In this study, sixty days of indoor environmental data were collected by an Internet of Things platform to analyse the diurnal changes in indoor temperature, humidity, and concentrations of CO<sub>2</sub> and NH<sub>3</sub>, as well as the seasonal changes in winter and summer. A multi-objective control strategy for optimising the pig house environment using Double Deep Q-Network (DDQN) was established. The results showed that 1) there were significantly higher correlations between multiple environmental factors in summer than in winter; 2) the determination coefficients R<sup>2</sup> of the multiple linear regression models constructed with indoor temperature and CO<sub>2</sub> concentration as dependent variables reached 0.915 and 0.778, respectively; 3) the DDQN control strategy kept the indoor temperature variation within ±1.7 °C, compared to ±2.1 °C with the traditional temperature threshold control strategy (TTCS); 4) the total running time of the three fans in a day under the DDQN control strategy was 28.01 h, with the total power consumption of 11.4 kWh, and an energy-saving rate of 7.39 % and the indoor various environmental factors are closer to the setting values. This research offers feasible reference for the intelligent and energy-saving environmental regulation in large-scale pig production for precise environmental control.</div></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":"259 ","pages":"Article 104300"},"PeriodicalIF":5.3,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145217535","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

CKSP: Cross-species knowledge sharing and preserving for universal animal activity recognition CKSP：跨物种知识共享和保护，用于普遍的动物活动识别

IF 5.3 1区农林科学

Biosystems Engineering Pub Date : 2025-10-01 DOI: 10.1016/j.biosystemseng.2025.104303

Axiu Mao , Meilu Zhu , Zhaojin Guo , Zheng He , Tomas Norton , Kai Liu

{"title":"CKSP: Cross-species knowledge sharing and preserving for universal animal activity recognition","authors":"Axiu Mao , Meilu Zhu , Zhaojin Guo , Zheng He , Tomas Norton , Kai Liu","doi":"10.1016/j.biosystemseng.2025.104303","DOIUrl":"10.1016/j.biosystemseng.2025.104303","url":null,"abstract":"<div><div>Deep learning techniques are dominating automated animal activity recognition (AAR) tasks with wearable sensors due to their high performance on large-scale labelled data. However, current deep learning-based AAR models are trained solely on datasets of individual animal species, constraining their applicability in practice and performing poorly when training data are limited. In this study, a one-for-many framework is proposed, dubbed Cross-species Knowledge Sharing and Preserving (CKSP), based on sensor data from diverse animal species. Given the coexistence of generic and species-specific behavioural patterns among different species, a Shared-Preserved Convolution (SPConv) module is designed. This module assigns an individual low-rank convolutional layer to each species for extracting species-specific features and employs a shared full-rank convolutional layer to learn generic features. This enables the CKSP framework to learn inter-species complementarity and alleviates data limitations via increasing data diversity. Considering the training conflict arising from discrepancies in data distributions among species, a Species-specific Batch Normalisation (SBN) module is devised that involves multiple BN layers to separately fit the distributions of different species. To validate CKSP's effectiveness, experiments are performed on three public datasets from horses, sheep, and cattle, respectively. The results show that this approach remarkably boosts the classification performance compared to the baseline method (one-for-one framework) solely trained on individual-species data, with increments of 6.04 %, 2.06 %, and 3.66 % in accuracy, and 10.33 %, 3.67 %, and 7.90 % in F1-score for the horse, sheep, and cattle datasets, respectively. This proves the promising capabilities of the method in leveraging multi-species data to augment classification performance.</div></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":"259 ","pages":"Article 104303"},"PeriodicalIF":5.3,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145217537","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

FEM-SPG coupling modelling and reinforced soil effect of maize root-soil composite 玉米根-土复合材料FEM-SPG耦合模型及加筋土效应

IF 5.3 1区农林科学

Biosystems Engineering Pub Date : 2025-10-01 DOI: 10.1016/j.biosystemseng.2025.104293

Yiwen Yuan , Mingxuan Du , Yanlin Zhou , Yueqian Yang , Xin Zhang , Shuhong Zhao

{"title":"FEM-SPG coupling modelling and reinforced soil effect of maize root-soil composite","authors":"Yiwen Yuan , Mingxuan Du , Yanlin Zhou , Yueqian Yang , Xin Zhang , Shuhong Zhao","doi":"10.1016/j.biosystemseng.2025.104293","DOIUrl":"10.1016/j.biosystemseng.2025.104293","url":null,"abstract":"<div><div>Root-soil composites, formed by root stubble remaining in the field and the surrounding soil, are major factors affecting the quality of maize seeding operations under conservation tillage system. Addressing this problem requires the development of efficient stubble management equipment. A dynamic simulation model of the cutting effect of a blade is established by coupling finite element method (FEM) and smoothed particle Galerkin (SPG) models. After drawing 3D solid models, soil was discretised into SPG particles, and stubble was divided into finite meshes and given different material properties respectively based on their measured data. Based on the mechanical properties of fibre-reinforced composite material, soil and stubble model were bonded as a composite by contact setting. The coupling between FEM and SPG and the non-uniqueness problem of this contact model were dealt with by the co-nodes. Direct shear simulations at two positions of the maize root-soil composite were carried out using SPG-FEM model and verified experimentally by <em>in-situ</em> tests. Test results showed that shear stress and force predicted by SPG-FEM model were in good agreement with the measured results. The results showed that the reinforcement ability of roots to soil was related to their contact area with soil and distribution uniformity. The effective circumference was shown to be able to predict the depth of maximum shear strength of root-soil composite. These current research results are useful for improving the reliability of numerical simulations of crop root-soil composite and optimising agricultural operation components.</div></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":"259 ","pages":"Article 104293"},"PeriodicalIF":5.3,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145217600","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

Modal frequency analysis for Camellia oleifera with sympodial branching growth mode using allometric scaling law 用异速标度法分析油茶对称分枝生长模式的模态频率

IF 5.3 1区农林科学

Biosystems Engineering Pub Date : 2025-10-01 DOI: 10.1016/j.biosystemseng.2025.104296

Lewei Tang , Huiyu Zhang , Shiyi Zhang , Rui Pan , Mingliang Wu

{"title":"Modal frequency analysis for Camellia oleifera with sympodial branching growth mode using allometric scaling law","authors":"Lewei Tang , Huiyu Zhang , Shiyi Zhang , Rui Pan , Mingliang Wu","doi":"10.1016/j.biosystemseng.2025.104296","DOIUrl":"10.1016/j.biosystemseng.2025.104296","url":null,"abstract":"<div><div>In this paper, the branching growth mode of <em>Camellia oleifera</em> is considered to be a sympodial branching pattern. A simplified fractal model of <em>Camellia oleifera</em> is established with several similar basic units. The morphological parameters of the basic bifurcated units in the tree model are correlated according to the biological allometric scaling law. For the basic bifurcated unit, a cantilever trunk modelled as the Euler-Bernoulli beam with two lateral branches is obtained regardless of the mass of foliage. The modal frequency of the basic bifurcated unit is calculated using Hamilton's principle. Finite element simulation using ANSYS software is performed to obtain the simulation modal frequencies in comparison with the theoretical frequencies. An empirical formula relating to the modal frequencies is derived from the perspective of energy transfer. The effect of branch angle on the modal frequency is further investigated. Besides, the empirical formula is extended for the calculation of the modal frequency of three basic bifurcated units. The modal frequency in branch mode is also obtained and compared with the simulation results. In the field measurement, two coefficients involving the lateral branching ratio and the slenderness coefficient were identified from the morphological measurements. The modal frequency for the basic bifurcated unit and the tree were measured using the dynamic signal analyser. The relative errors of the modal frequency from the empirical formulas and the field experiments are less than 6 %, which demonstrates the feasibility of the modal frequency analysis of <em>Camellia oleifera</em> using the proposed empirical formulas.</div></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":"259 ","pages":"Article 104296"},"PeriodicalIF":5.3,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145217536","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

Digital simulation of condensation and water loss in ventilated lychee packaging 通风荔枝包装中凝结和水分损失的数字模拟

IF 5.3 1区农林科学

Biosystems Engineering Pub Date : 2025-10-01 DOI: 10.1016/j.biosystemseng.2025.104297

Jicheng Lin , Xiaodan Zhang , Yihong Jiang , Dongfeng Liu , Wei Cai , Guopeng Lin , Zhiwu Ding , Enli Lü , Jiaming Guo

{"title":"Digital simulation of condensation and water loss in ventilated lychee packaging","authors":"Jicheng Lin , Xiaodan Zhang , Yihong Jiang , Dongfeng Liu , Wei Cai , Guopeng Lin , Zhiwu Ding , Enli Lü , Jiaming Guo","doi":"10.1016/j.biosystemseng.2025.104297","DOIUrl":"10.1016/j.biosystemseng.2025.104297","url":null,"abstract":"<div><div>Lychee quality deteriorates rapidly post-harvest. Appropriately ventilated packaging can help maintain quality during the supply chain. However, interruptions in the cold chain can lead to temperature differences between the inside and outside of packages, increasing condensation and liquid water formation, which negatively affects lychee quality. This study used numerical simulations to analyse forced ventilation in different packaging structures, focusing on how the number of top openings affects internal temperature, humidity, condensation, and water loss. Additionally, the stacking of packaged lychee was modelled to predict water loss and condensation under actual supply conditions. The results showed that increasing the number of package openings reduces humidity differences and condensation, with eight openings resulting in 9.18 % less water loss rate compared to six openings. Six openings reduced condensation by 23.67 % compared to four openings. Furthermore, during storage and transportation, the amount of water loss and condensation varied by location, with lychees near the air outlet losing less water but experiencing more condensation. The findings of this study provide insights into reducing in-package condensation and water loss in the lychee supply chain, offering a reference for optimising storage and transportation strategies.</div></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":"259 ","pages":"Article 104297"},"PeriodicalIF":5.3,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145217533","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

Inversion of on-tree peach firmness via high-fidelity fruit finite element models and sim-to-real deep transfer learning 基于高保真水果有限元模型和模拟到真实深度迁移学习的树上桃子坚固度反演

IF 5.3 1区农林科学

Biosystems Engineering Pub Date : 2025-09-25 DOI: 10.1016/j.biosystemseng.2025.104291

Jiaqi Xiong , Yilei Hu , Xianbin Gu , Ce Yang , Di Cui

{"title":"Inversion of on-tree peach firmness via high-fidelity fruit finite element models and sim-to-real deep transfer learning","authors":"Jiaqi Xiong , Yilei Hu , Xianbin Gu , Ce Yang , Di Cui","doi":"10.1016/j.biosystemseng.2025.104291","DOIUrl":"10.1016/j.biosystemseng.2025.104291","url":null,"abstract":"<div><div>Firmness is an important attribute of peaches related to texture and ripeness. The inversion of on-tree peach firmness contributes to monitoring fruit ripeness and determining the optimal harvest time for enhancing fruit quality. However, accurate inversion of fruit firmness is still challenging because of the limited number, range and distribution of training datasets. Therefore, an acoustic vibration method based on high-fidelity fruit finite element (FE) models and sim-to-real deep transfer learning was proposed for the inversion of the on-tree peach firmness with limited samples. Ten FE models of peaches comprising skin, flesh, pits and kernels were constructed to generate simulated vibration responses of on-tree peaches during fruit ripening. A 1D-Inception-SE network was established to extract features from the vibration responses to characterise peach firmness. To reduce the difference in feature distribution between the simulated dataset and the experimental dataset, a deep transfer learning method based on a domain adversarial neural network was introduced. The results indicated that the high-fidelity FE models of peaches were reliable for simulating the vibration behaviours of on-tree peaches during fruit ripening. The proposed deep transfer learning method raised the <em>R</em><sup><em>2</em></sup> of the test set from 0.79 to 0.83. Compared to the 1D-Inception-SE model with 320 experimental samples, the deep transfer learning model with both simulated data and 160 experimental samples achieves superior performance while requiring only half the number of experimental samples. The results demonstrated that the proposed method could efficiently and effectively improve the firmness inversion accuracy for on-tree peaches by measuring limited samples.</div></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":"259 ","pages":"Article 104291"},"PeriodicalIF":5.3,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145155102","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

Improved steering model and integrated robust control for a curved path-tracking controller for headland turns 改进转向模型和集成鲁棒控制的弯径跟踪控制器

IF 5.3 1区农林科学

Biosystems Engineering Pub Date : 2025-09-23 DOI: 10.1016/j.biosystemseng.2025.104294

Yueqi Ma, Guohui Fu, Chao Ban, Tong Su, Ruijuan Chi

{"title":"Improved steering model and integrated robust control for a curved path-tracking controller for headland turns","authors":"Yueqi Ma, Guohui Fu, Chao Ban, Tong Su, Ruijuan Chi","doi":"10.1016/j.biosystemseng.2025.104294","DOIUrl":"10.1016/j.biosystemseng.2025.104294","url":null,"abstract":"<div><div>The accuracy of the rice transplanter's curved path-tracking during headland turns significantly impacts the row spacing precision of rice transplanting, especially in the initial stage of each row operation. This study aims to improve the curved path-tracking accuracy of rice transplanters. To achieve this, an improved transplanter steering model and tracking error model are developed based on the transplanter's steering characteristics, using the transplanting arm array centre as the reference point. Building upon the proposed tracking error model, an integrated robust curved path-tracking controller is proposed, combining low-frequency disturbance observer-based feedforward control, Linear Quadratic Regulator control, H-infinity control, and quadratic stability. This controller is robust to perturbation parameters and disturbances caused by uneven paddy field bottom, sideslip, path curvature, and model linearisation, and it also has a rapid convergence rate. Model comparison results indicated that the turning radii predicted by the proposed transplanter steering model closely match the actual turning radii of the rice transplanter, outperforming the conventional Ackermann steering model. Additionally, the controller using the transplanting arm array centre as the reference point exhibited higher tracking accuracy for transplanting arm array centre compared to using the rear axle centre as the reference point. Ablation experiments demonstrated the effectiveness of each component in the proposed control method, among all components, the low-frequency disturbance observer-based feedforward control had the most significant impact on accuracy improvement. Overall, the proposed curved path-tracking controller exhibited high accuracy for curved path-tracking control and effectively meets the operational requirements of the rice transplanter.</div></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":"259 ","pages":"Article 104294"},"PeriodicalIF":5.3,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145119302","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

Research on intelligent maize targeted fertilisation method based on BPNN PID adaptive position feedback regulation 基于bp神经网络PID自适应位置反馈调节的智能玉米定向施肥方法研究

IF 5.3 1区农林科学

Biosystems Engineering Pub Date : 2025-09-22 DOI: 10.1016/j.biosystemseng.2025.104292

Wenqi Zhou, Huaiyu Liu, Yao Wang, Cunliang Liu, Han Tang, Qi Wang, Jinwu Wang

{"title":"Research on intelligent maize targeted fertilisation method based on BPNN PID adaptive position feedback regulation","authors":"Wenqi Zhou, Huaiyu Liu, Yao Wang, Cunliang Liu, Han Tang, Qi Wang, Jinwu Wang","doi":"10.1016/j.biosystemseng.2025.104292","DOIUrl":"10.1016/j.biosystemseng.2025.104292","url":null,"abstract":"<div><div>Given problems, such as low accuracy of fertiliser application control, large positioning errors, and poor fault monitoring effects in targeted fertilisation operations, this study proposes an intelligent maize-targeted fertilisation method based on a Backpropagation Neural Network (BPNN) Proportional-Integral-Derivative (PID) adaptive position feedback regulation. With the STM32 microcontroller as the master-slave controller, an intelligent maize-targeted fertilisation system was developed through the design of multi-sensor fusion, control parameter calculation and optimisation, construction of a fertilisation drive device, and fault monitoring system. BPNN PID adaptive optimisation was used to control the angular displacement of the fertiliser applicator, and automatic control technology drove the targeted fertilisation mechanism. By integrating dual photoelectric sensors to detect the target maize, an encoder collects the angular displacement of the fertiliser applicator, a ranging sensor monitors the fertiliser amount in the fertiliser box, a pressure sensor monitors the status of the fertiliser pipe, a positioning sensor monitors the operation speed, and multi-machine communication processes the fertilisation operation data. Targeted control and fault monitoring of fertilisation operations under multi-sensor fusion were realised. The adjustment time of the optimisation algorithm is 0.9 s, and the response is fast. Experiments show that the accuracy of fertiliser application control is greater than 95 %, the average positioning error of fertilisation is less than 28.1 mm, the fault alarm success rate reaches 97 %, and the average response time of fault alarm is less than 0.45 s. The intelligent maize-targeted fertilisation method in this study can achieve precise fertilisation control in maize-targeted fertilisation operations.</div></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":"259 ","pages":"Article 104292"},"PeriodicalIF":5.3,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145119305","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