V. Bulgakov, S. Ivanovs, Volodymyr Kuvachоv, Lucretia Popa, Igor Sivak, O. Trokhaniak, Y. Ihnatiev
An important operational indicator of agricultural machine-tractor units is the smoothness of movement, which significantly affects the traction and dynamic performance of their work, productivity, agronomic qualities of the operation, traffic safety, durability and efficiency. As a rule, it is evaluated by the influence of oscillations (translational vertical, transverse, angular longitudinal, etc.), on these indicators, as well as on the physical condition and health of operators who control these units in real production conditions. This article presents an improved method and results of experimental assessment of the smoothness of the movement of the modular agricultural unit, which moves in the footsteps of a constant technological track. Studies of the smoothness of the modular unit showed that the graphs of normalized correlation functions of vertical oscillations of the modular agricultural tool developed by us in its motion in the wake of a constant techno-logical track is characterized by a function containing along with random components harmonic, which are expressed by attenuating periodic oscillations. The range of frequencies of oscillations of the frame of the agricultural tool is concentrated in the range from 0 tо 20 s−1, which is consistent with the frequency range 0…0.3 s−1 in which the variances of oscillations of inequalities of a profile of traces of a technological track are concentrated. Studies have confirmed the effectiveness of the method of estimating the intensity of vertical oscillations of the agricultural unit measuring and recording system based on a tablet computer with Android operating system with built-in accelerometer sensors and Accelerometer Meter application. The developed technique of mathematical modelling and experimental determination of vertical oscillations of the machine-tractor unit can be used in the study of the dynamics of other agricultural machines and units.
{"title":"DEVELOPMENT OF ADVANCED METHODOLOGY OF EXPERIMENTAL RESEARCH ON OSCILLATION PROCESSES INTENSITY FOR MACHINE-TRACTOR UNITS","authors":"V. Bulgakov, S. Ivanovs, Volodymyr Kuvachоv, Lucretia Popa, Igor Sivak, O. Trokhaniak, Y. Ihnatiev","doi":"10.35633/inmateh-70-34","DOIUrl":"https://doi.org/10.35633/inmateh-70-34","url":null,"abstract":"An important operational indicator of agricultural machine-tractor units is the smoothness of movement, which significantly affects the traction and dynamic performance of their work, productivity, agronomic qualities of the operation, traffic safety, durability and efficiency. As a rule, it is evaluated by the influence of oscillations (translational vertical, transverse, angular longitudinal, etc.), on these indicators, as well as on the physical condition and health of operators who control these units in real production conditions. This article presents an improved method and results of experimental assessment of the smoothness of the movement of the modular agricultural unit, which moves in the footsteps of a constant technological track. Studies of the smoothness of the modular unit showed that the graphs of normalized correlation functions of vertical oscillations of the modular agricultural tool developed by us in its motion in the wake of a constant techno-logical track is characterized by a function containing along with random components harmonic, which are expressed by attenuating periodic oscillations. The range of frequencies of oscillations of the frame of the agricultural tool is concentrated in the range from 0 tо 20 s−1, which is consistent with the frequency range 0…0.3 s−1 in which the variances of oscillations of inequalities of a profile of traces of a technological track are concentrated. Studies have confirmed the effectiveness of the method of estimating the intensity of vertical oscillations of the agricultural unit measuring and recording system based on a tablet computer with Android operating system with built-in accelerometer sensors and Accelerometer Meter application. The developed technique of mathematical modelling and experimental determination of vertical oscillations of the machine-tractor unit can be used in the study of the dynamics of other agricultural machines and units.","PeriodicalId":44197,"journal":{"name":"INMATEH-Agricultural Engineering","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42868533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Gabriel Alexandru Constantin, B. Zabava, G. Voicu, G. Moiceanu, I. Istrate, M. Nițu
The objective of the present study was to make a theoretical study based on a CFD analysis for a conventional radial clarifier. The parameters of the Computational Fluid Dynamics analysis were set in the Ansys software, and after running the simulation, the values for fluid velocity, turbulence intensity and Reynolds number were obtained. Thus, it was obtained a fluid velocity of 0.103 m/s, a turbulence intensity of 3.82·10-2 % and a Reynolds number of 147. This work can help researchers in the field, mainly, but also radial clarifier manufacturers to optimise the process.
{"title":"CFD ANALYSIS OF THE SETTLING PROCESS IN A RADIAL CLARIFIER","authors":"Gabriel Alexandru Constantin, B. Zabava, G. Voicu, G. Moiceanu, I. Istrate, M. Nițu","doi":"10.35633/inmateh-70-15","DOIUrl":"https://doi.org/10.35633/inmateh-70-15","url":null,"abstract":"The objective of the present study was to make a theoretical study based on a CFD analysis for a conventional radial clarifier. The parameters of the Computational Fluid Dynamics analysis were set in the Ansys software, and after running the simulation, the values for fluid velocity, turbulence intensity and Reynolds number were obtained. Thus, it was obtained a fluid velocity of 0.103 m/s, a turbulence intensity of 3.82·10-2 % and a Reynolds number of 147. This work can help researchers in the field, mainly, but also radial clarifier manufacturers to optimise the process.","PeriodicalId":44197,"journal":{"name":"INMATEH-Agricultural Engineering","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42952333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Munteanu, G. Voicu, Gabriel Alexandru Constantin, E. Ştefan, P. Tudor, M. Nițu
This paper presents an analysis of the variation of energy consumption in the lamination and drawing process of bagel doughs. Also, the paper highlights the farinographic characteristics (water absorbtion, dough develpomnet time, dough stability, degree of dough softening and farinographic index) of the floour used for the dough preparation for which the energy consumption during lamination and drawing was determined.
{"title":"EXPERIMENTAL RESEARCH ON ENERGY CONSUMPTION IN THE LAMINATION AND DRAWING OF DOUGH","authors":"M. Munteanu, G. Voicu, Gabriel Alexandru Constantin, E. Ştefan, P. Tudor, M. Nițu","doi":"10.35633/inmateh-70-14","DOIUrl":"https://doi.org/10.35633/inmateh-70-14","url":null,"abstract":"This paper presents an analysis of the variation of energy consumption in the lamination and drawing process of bagel doughs. Also, the paper highlights the farinographic characteristics (water absorbtion, dough develpomnet time, dough stability, degree of dough softening and farinographic index) of the floour used for the dough preparation for which the energy consumption during lamination and drawing was determined.","PeriodicalId":44197,"journal":{"name":"INMATEH-Agricultural Engineering","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42234772","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In order to meet the precision seeding of small seeds including millet and broomcorn millet in hilly and mountainous areas, a single-row small grain precision seeder was developed. Static seeding test and seeding test were carried out on the seeder. In this paper, the key parts such as socket wheel-ring groove seed metering device, transmission system and tensioning wheel are designed. The working parts such as arrow shovel furrow opener, plastic seed tube and hollow cast iron press wheel were selected to achieve seed metering. The seed metering wheel has double-row of holes. The results of static seeding test showed that rotational speed had a significant effect on the sowing quantity of millet and broomcorn millet (P < 0.001). The higher the rotational speed, the greater the sowing quantity. With the increase of rotational speed of seed metering wheel, the damage rate of millet and broomcorn millet increased. At the same rotational speed, the breakage rate of broomcorn millet is smaller than that of millet. The field sowing test showed that when the seeder is at a marching speed of about 0.5 m/s, the qualified rate of the hole spacing of millet and broomcorn millet is greater than or equal to 90%, and the qualified rate of the number of grains per hole is greater than or equal to 82%. All indicators meet the requirements of the technical conditions of single-grain (precision) seeder. The design can provide reference for the design and optimization of small grain precision seeder.
{"title":"DESIGN AND EXPERIMENT OF A SINGLE-ROW SMALL GRAIN PRECISION SEEDER","authors":"J. Sun, Liqin Yang, Baohui Xu, Yuming Guo","doi":"10.35633/inmateh-70-12","DOIUrl":"https://doi.org/10.35633/inmateh-70-12","url":null,"abstract":"In order to meet the precision seeding of small seeds including millet and broomcorn millet in hilly and mountainous areas, a single-row small grain precision seeder was developed. Static seeding test and seeding test were carried out on the seeder. In this paper, the key parts such as socket wheel-ring groove seed metering device, transmission system and tensioning wheel are designed. The working parts such as\u0000arrow shovel furrow opener, plastic seed tube and hollow cast iron press wheel were selected to achieve seed metering. The seed metering wheel has double-row of holes. The results of static seeding test showed that rotational speed had a significant effect on the sowing quantity of millet and broomcorn millet (P < 0.001). The higher the rotational speed, the greater the sowing quantity. With the increase of rotational speed of seed metering wheel, the damage rate of millet and broomcorn millet increased. At the same rotational speed, the breakage rate of broomcorn millet is smaller than that of millet. The field sowing test showed that when the seeder is at a marching speed of about 0.5 m/s, the qualified rate of the hole spacing of millet and broomcorn millet is greater than or equal to 90%, and the qualified rate of the number of grains per hole is\u0000greater than or equal to 82%. All indicators meet the requirements of the technical conditions of single-grain (precision) seeder. The design can provide reference for the design and optimization of small grain precision seeder.","PeriodicalId":44197,"journal":{"name":"INMATEH-Agricultural Engineering","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41618629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aiming at the poor efficiency in crushing a handful of caking organic fertilizers spraying from the traditional disc spreader, an improved disc spreader equipped with spike-tooth crushing unit was designed with the introduction of its structural composition and working principle. Also simulation experiments were carried out based on the discrete element method according to the solutions made before and after the structural improvement. Firstly, a granular organic fertilizer model was established based on the EDEM and a caking organic fertilizer bonding model was built based on the HMB (Hertz-Mindlin with bonding) contact model. Then two organic fertilizer spreading models corresponding to the solutions were respectively established, based on which simulation experiments were repeated three times on the spreading process. The analysis on the particle velocity vector diagram revealed the interaction relationship between organic fertilizers with the toothed shaft, external wall and disk, verifying the crushing mechanism of crushing unit. By calculating the total number of the bonds generated and broken in the spreading process in both of the spreading models, the average broken rate of bonds in the spreading process was separately 58.87% and 98.05% based on each solution, revealing that the improved solution outperformed the traditional solution in terms of the efficiency in crushing the caking organic fertilizers. This research will be a reference in designing the critical components or improving the overall performance of disc spreader.
针对传统盘式播种机对喷射的少量结块有机肥粉碎效率不高的问题，设计了一种改进型盘式播种机，配置尖齿破碎装置，介绍了其结构组成和工作原理。并根据结构改进前后的解进行了基于离散元法的仿真实验。首先，基于EDEM建立了粒状有机肥模型，基于HMB (Hertz-Mindlin with bonding)接触模型建立了结块有机肥粘接模型。然后分别建立了两种解决方案对应的有机肥施施模型，在此基础上对施施过程进行了3次模拟实验。通过对颗粒速度矢量图的分析，揭示了有机肥与齿状轴、外壁和圆盘的相互作用关系，验证了破碎装置的破碎机理。通过计算两种扩散模型在扩散过程中产生和破坏的键的总数，每种溶液在扩散过程中平均键的破坏率分别为58.87%和98.05%，表明改进溶液在粉碎结块有机肥的效率上优于传统溶液。本文的研究对盘式吊具关键部件的设计或整体性能的提高具有一定的参考价值。
{"title":"IMPROVEMENT DESIGN AND SIMULATION ANALYSIS ON CENTRIFUGAL DISC ORGANIC FERTILIZER SPREADER","authors":"Bing Xu, Qingliang Cui, Decong Zheng","doi":"10.35633/inmateh-70-32","DOIUrl":"https://doi.org/10.35633/inmateh-70-32","url":null,"abstract":"Aiming at the poor efficiency in crushing a handful of caking organic fertilizers spraying from the traditional disc spreader, an improved disc spreader equipped with spike-tooth crushing unit was designed with the introduction of its structural composition and working principle. Also simulation experiments were carried out based on the discrete element method according to the solutions made before and after the structural improvement. Firstly, a granular organic fertilizer model was established based on the EDEM and a caking organic fertilizer bonding model was built based on the HMB (Hertz-Mindlin with bonding) contact model. Then two organic fertilizer spreading models corresponding to the solutions were respectively established, based on which simulation experiments were repeated three times on the spreading process. The analysis on the particle velocity vector diagram revealed the interaction relationship between organic fertilizers with the toothed shaft, external wall and disk, verifying the crushing mechanism of crushing unit. By calculating the total number of the bonds generated and broken in the spreading process in both of the spreading models, the average broken rate of bonds in the spreading process was separately 58.87% and 98.05% based on each solution, revealing that the improved solution outperformed the traditional solution in terms of the efficiency in crushing the caking organic fertilizers. This research will be a reference in designing the critical components or improving the overall performance of disc spreader.","PeriodicalId":44197,"journal":{"name":"INMATEH-Agricultural Engineering","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48259321","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yanli Geng, Xiaodong Yue, Yankai Ji, Yanbo Lin, Yanfang Fu, Shucai Yang
Body size of pigs is an important evaluation indicator in pig breeding. The traditional method of body size measurement is usually in manual way, which requires more employees and causes stress reactions of pigs. In response to the shortcomings of the traditional methods, this paper designed a system for measuring the body size of pigs based on stereo vision. The point cloud of both the calibration object and the pig was collected using dual KinectV2 cameras. Pre-processing was conducted using filtering and random sample consensus to remove background noise from the point clouds. As there was limited overlap between the two sides of the point clouds, the rotation matrix obtained from registering the calibration object was applied to the pig point clouds. Curve fitting and slicing were then utilized to measure the pig's body dimensions, including length, width, height, and abdominal circumference. The results of the study indicated that the mean absolute percentage error (MAPE) was 2.13% for body length, 1.02% for body width, 1.05% for body height, and 2.21% for abdominal girth. These results demonstrate the high accuracy and practical production value of the system.
{"title":"RESEARCH ON PIG BODY SIZE MEASUREMENT SYSTEM BASED ON STEREO VISION","authors":"Yanli Geng, Xiaodong Yue, Yankai Ji, Yanbo Lin, Yanfang Fu, Shucai Yang","doi":"10.35633/inmateh-70-07","DOIUrl":"https://doi.org/10.35633/inmateh-70-07","url":null,"abstract":"Body size of pigs is an important evaluation indicator in pig breeding. The traditional method of body size measurement is usually in manual way, which requires more employees and causes stress reactions of pigs. In response to the shortcomings of the traditional methods, this paper designed a system for measuring the body size of pigs based on stereo vision. The point cloud of both the calibration object and the pig was collected using dual KinectV2 cameras. Pre-processing was conducted using filtering and random sample consensus to remove background noise from the point clouds. As there was limited overlap between the two sides of the point clouds, the rotation matrix obtained from registering the calibration object was applied to the pig point clouds. Curve fitting and slicing were then utilized to measure the pig's body dimensions, including length, width, height, and abdominal circumference. The results of the study indicated that the mean absolute percentage error (MAPE) was 2.13% for body length, 1.02% for body width, 1.05% for body height, and 2.21% for abdominal girth. These results demonstrate the high accuracy and practical production value of the system.","PeriodicalId":44197,"journal":{"name":"INMATEH-Agricultural Engineering","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47422630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tianyi Huang, F. Badea, M. Xiao, Shanhu Zhao, S. Badea, C. Badea
In order to solve the real-time obstacle avoidance problem in electric tractor operation, an improved dynamic window approach (DWA) based on optimal energy consumption is proposed for electric tractor obstacle avoidance. Firstly, energy consumption model of tractor is established based on the transmission system of electric tractor, then energy consumption evaluation sub-function is introduced to improve the evaluation function of original DWA algorithm, and finally, the trajectory is evaluated and the optimal solution of the trajectory is determined by using new evaluation function. Based on the kinematics model of YL254ET electric tractor in Yancheng Yueda, a model predictive controller is designed. The obstacle avoidance planning and tracking control of electric tractor are simulated jointly on Simulink and CarSim simulation platform. Finally, the obstacle avoidance planning test is carried out. The simulation and experimental results show that after the algorithm improvement, the energy consumption of electric tractors is reduced, the generated path is smoother, and the lateral error is smaller.
{"title":"OBSTACLE AVOIDANCE METHOD FOR ELECTRIC TRACTOR BASED ON IMPROVED DYNAMIC WINDOW APPROACH WITH PRIORITY OF ENERGY CONSUMPTION","authors":"Tianyi Huang, F. Badea, M. Xiao, Shanhu Zhao, S. Badea, C. Badea","doi":"10.35633/inmateh-70-30","DOIUrl":"https://doi.org/10.35633/inmateh-70-30","url":null,"abstract":"In order to solve the real-time obstacle avoidance problem in electric tractor operation, an improved dynamic window approach (DWA) based on optimal energy consumption is proposed for electric tractor obstacle avoidance. Firstly, energy consumption model of tractor is established based on the transmission system of electric tractor, then energy consumption evaluation sub-function is introduced to improve the evaluation\u0000function of original DWA algorithm, and finally, the trajectory is evaluated and the optimal solution of the trajectory is determined by using new evaluation function. Based on the kinematics model of YL254ET electric tractor in Yancheng Yueda, a model predictive controller is designed. The obstacle avoidance planning and tracking control of electric tractor are simulated jointly on Simulink and CarSim simulation platform. Finally, the obstacle avoidance planning test is carried out. The simulation and experimental results show that after the algorithm improvement, the energy consumption of electric tractors is reduced, the generated path is smoother, and the lateral error is smaller.","PeriodicalId":44197,"journal":{"name":"INMATEH-Agricultural Engineering","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42421042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper evaluates linear regression analysis, BP neural network, and a random forest prediction model for the prediction of jujube water demand. The results highlight that the R2 of the random forest is 0.941 and the residual distribution is the most stable. Hence, the random forest is more suitable for prediction, and therefore, an intelligent irrigation system is established employing random forest, where the cloud server is the upper computer and a Raspberry Pi is the lower computer, and at the same time, a PC and a mobile interface was built to present various information about the developed irrigation system.
{"title":"THE DESIGN OF JUJUBE IRRIGATION SYSTEM USING LINEAR REGRESSION ANALYSIS, BP NEURAL NETWORK AND RANDOM FOREST","authors":"Wenhao Dou, Sanmin Sun, Pengxiang Xu","doi":"10.35633/inmateh-70-16","DOIUrl":"https://doi.org/10.35633/inmateh-70-16","url":null,"abstract":"This paper evaluates linear regression analysis, BP neural network, and a random forest prediction model for the prediction of jujube water demand. The results highlight that the R2 of the random forest is 0.941 and the residual distribution is the most stable. Hence, the random forest is more suitable for prediction, and therefore, an intelligent irrigation system is established employing random forest, where the cloud server is the upper computer and a Raspberry Pi is the lower computer, and at the same time, a PC and a mobile interface was built to present various information about the developed irrigation system.","PeriodicalId":44197,"journal":{"name":"INMATEH-Agricultural Engineering","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42736727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xu Li, Shuqi Shang, Xiaoning He, Zelong Zhao, Ning Zhang, Yaxiu Hou, Jinbiao Zhang, Dongwei Wang
For a peanut picking device with a feeding rate greater than 5 kg/s, the problem of low picking rate and high damage rate will occur during the picking process. A discrete element model is developed to determine the range of values of the main influencing factors affecting the peanut picking device. A three-factor, three-level orthogonal combination test was carried out with feeding volume, drum speed, and peanut picking gap as test factors to investigate the effects of the main influencing factors on the quality of peanut picking operation of the peanut picking device. The results of the field trials showed that the best results were achieved at the optimum combination of drum speed of 508 r·min-1, peanut picking gap of 22 mm, and feeding volumes of 6.3 kg/s. At this time, the peanut picking rate was 99.17%, and the peanut breakage rate was 0.91, meeting the standard technical requirements for mechanized peanut harvesting. The study results provide a theoretical basis for further enhancing the development of peanut combine harvesting equipment.
{"title":"OPTIMIZED DESIGN AND TESTING OF A PEANUT-PICKING DEVICE WITH A LARGE FEEDING VOLUME","authors":"Xu Li, Shuqi Shang, Xiaoning He, Zelong Zhao, Ning Zhang, Yaxiu Hou, Jinbiao Zhang, Dongwei Wang","doi":"10.35633/inmateh-70-39","DOIUrl":"https://doi.org/10.35633/inmateh-70-39","url":null,"abstract":"For a peanut picking device with a feeding rate greater than 5 kg/s, the problem of low picking rate and high damage rate will occur during the picking process. A discrete element model is developed to determine the range of values of the main influencing factors affecting the peanut picking device. A three-factor, three-level orthogonal combination test was carried out with feeding volume, drum speed, and peanut picking gap as test factors to investigate the effects of the main influencing factors on the quality of peanut picking operation of the peanut picking device. The results of the field trials showed that the best results were achieved at the optimum combination of drum speed of 508 r·min-1, peanut picking gap of 22 mm, and feeding volumes of 6.3 kg/s. At this time, the peanut picking rate was 99.17%, and the peanut breakage rate was 0.91, meeting the standard technical requirements for mechanized peanut harvesting. The study results provide a theoretical basis for further enhancing the development of peanut combine harvesting equipment.","PeriodicalId":44197,"journal":{"name":"INMATEH-Agricultural Engineering","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44689442","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xiangbing Zhu, Yuge Bi, J. Du, Xinchao Gao, Eerdumutu Jin, Fei Hao
Rat-hole area and number of rat holes are indicators of the level of degradation and rat damage in grassland environments. However, rat-hole monitoring has consistently relied on manual ground surveys, leading to extremely low efficiency and accuracy. In this paper, a convolutional block attention module (CBAM) model suitable for rat-hole recognition in desert grassland monitoring, called grassland monitoring-CBAM, is proposed that comprehensively incorporates unmanned aerial vehicle hyperspectral remote-sensing technology and deep-learning methods. Validation results show that the overall accuracy and Kappa coefficient of the model were 99.35% and 98.90%, which were 3.96% and 3.35% higher, respectively, than those of the basic model. This study represents a breakthrough in the intelligent interpretation of rat holes and provides technical support for the subsequent rapid interpretation of grassland rat holes and rat damage evaluation. It also provides a solution for the fine classification and quantitative inversion of similar landscape features.
{"title":"GRASSLAND RAT-HOLE RECOGNITION AND CLASSIFICATION BASED ON ATTENTION METHOD AND UNMANNED AERIAL VEHICLE HYPERSPECTRAL REMOTE SENSING","authors":"Xiangbing Zhu, Yuge Bi, J. Du, Xinchao Gao, Eerdumutu Jin, Fei Hao","doi":"10.35633/inmateh-70-17","DOIUrl":"https://doi.org/10.35633/inmateh-70-17","url":null,"abstract":"Rat-hole area and number of rat holes are indicators of the level of degradation and rat damage in grassland environments. However, rat-hole monitoring has consistently relied on manual ground surveys, leading to extremely low efficiency and accuracy. In this paper, a convolutional block attention module (CBAM) model suitable for rat-hole recognition in desert grassland monitoring, called grassland monitoring-CBAM, is proposed that comprehensively incorporates unmanned aerial vehicle hyperspectral remote-sensing technology and deep-learning methods. Validation results show that the overall accuracy and Kappa coefficient of the model were 99.35% and 98.90%, which were 3.96% and 3.35% higher, respectively, than those of the basic model. This study represents a breakthrough in the intelligent interpretation of rat holes and provides technical support for the subsequent rapid interpretation of grassland rat holes and rat damage evaluation. It also provides a solution for the fine classification and quantitative inversion of similar landscape features.","PeriodicalId":44197,"journal":{"name":"INMATEH-Agricultural Engineering","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46674885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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