The spring finger collection mechanism is a core component of balers. It is usually used to collect soft straw crops (corn straw, wheat straw, green forage), and rarely used for hard stem crops (such as branch pruning residues). Due to different biophysical characteristics of hard stem crops and soft straw crops, the collection mechanisms are also different. In China, branch pruning residues in apple orchards are collected manually. It is a heavy labor task. To this end, this article uses an improved spring finger mechanism to collect pruning residues in apple orchard branches, effectively replacing manual collection operations. A dynamic motion trajectory simulation platform is developed by analyzing each action using pitchforks or other agricultural tools throughout the entire collection process, and combined with the structure of the spring finger collection mechanism. The platform of the spring finger collection mechanism is improved to collect orchard branches, and redesign and manufacture the core components of the collection mechanism. In addition, comparative tests were performed on4 different placement orientation sunder the conditions of R=40±2 r/min and V=0.9-1.1 m/s. That is, 1) messy, 2) transverse, 3) portrait orientation (the treetop firstly contacts the collection device), and 4) portrait orientation (the thick stems of the branches first touch the collection device). The results indicate that 1) and 2) have similar success rates in picking branches, while 3) and 4) have lower success rates, especially with 4) being the lowest). The analysis found that some branches were directly inserted into the spring finger gap and moved under the machine, resulting in a large amount of losses. This study aims to improve the success rate of picking branches in the bundling machine and verify the relationship between different placement directions and the success rate of picking branches.
{"title":"RESEARCH ON KINEMATICS SIMULATION AND DYNAMIC ANALYSIS OF THE COLLECTION MECHANISM OF ORCHARD BRANCHES","authors":"Hui Li, Xin Yang, Aiqian Yang","doi":"10.35633/inmateh-69-47","DOIUrl":"https://doi.org/10.35633/inmateh-69-47","url":null,"abstract":"The spring finger collection mechanism is a core component of balers. It is usually used to collect soft straw crops (corn straw, wheat straw, green forage), and rarely used for hard stem crops (such as branch pruning residues). Due to different biophysical characteristics of hard stem crops and soft straw crops, the collection mechanisms\u0000are also different. In China, branch pruning residues in apple orchards are collected manually. It is a heavy labor task. To this end, this article uses an improved spring finger mechanism to collect pruning residues in apple orchard branches, effectively replacing manual collection operations. A dynamic motion trajectory simulation platform is\u0000developed by analyzing each action using pitchforks or other agricultural tools throughout the entire collection process, and combined with the structure of the spring finger collection mechanism. The platform of the spring finger collection mechanism is improved to collect orchard branches, and redesign and manufacture the core\u0000components of the collection mechanism. In addition, comparative tests were performed on4 different placement orientation sunder the conditions of R=40±2 r/min and V=0.9-1.1 m/s. That is, 1) messy, 2) transverse, 3) portrait orientation (the treetop firstly contacts the collection device), and 4) portrait orientation (the thick stems of the\u0000branches first touch the collection device). The results indicate that 1) and 2) have similar success rates in picking branches, while 3) and 4) have lower success rates, especially with 4) being the lowest). The analysis found that some branches were directly inserted into the spring finger gap and moved under the machine, resulting in a large amount of losses. This study aims to improve the success rate of picking branches in the bundling machine and verify the relationship between different placement directions and the success rate of picking branches.","PeriodicalId":44197,"journal":{"name":"INMATEH-Agricultural Engineering","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43305141","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}
ZhongLing Xia, WeiHan Chen, Hang Zhao, Weidong Song, Ling Yang, Mingjin Yang
In traditional Chinese Baijiu (white wine) brewing factory, most processes were usually done manually. In order to promote industrial automation in liquor brewing industry and alleviate highly repetitive manual labor, an industrial robot operating system equipped with machine vision was designed to accomplish caldron feeding process during the distillation of Chinese Baijiu. Firstly, Modified D-H method was used to establish robot kinematics model. Shovel actuators and peripheral devices were designed to spread and transport grains during caldron feeding process. After that, an online detection system based on machine vision and master computer were designed to control key parameters of caldron feeding process, including grains height, caldron pressure, robot speed and waiting time, etc. Finally, multiple brewing experiments were carried out on crushed grains and spent grains. The experimental results showed that robot system maximum working space was 3.15 m, which could feed 3 caldrons at the same time. During Chinese Baijiu distillation, air pressure average error in caldron was 8.28 %. High proportion of first-class liquor and second-class liquor was obtained, which met engineering production requirements.
{"title":"APPLICATION OF INDUSTRIAL ROBOT AND MACHINE VISION IN INTELLIGENT CALDRON FEEDING PROCESS OF CHINESE BAIJIU","authors":"ZhongLing Xia, WeiHan Chen, Hang Zhao, Weidong Song, Ling Yang, Mingjin Yang","doi":"10.35633/inmateh-69-03","DOIUrl":"https://doi.org/10.35633/inmateh-69-03","url":null,"abstract":"In traditional Chinese Baijiu (white wine) brewing factory, most processes were usually done manually. In order to promote industrial automation in liquor brewing industry and alleviate highly repetitive manual labor, an industrial robot operating system equipped with machine vision was designed to accomplish caldron feeding process during the distillation of Chinese Baijiu. Firstly, Modified D-H method was used to establish robot kinematics model. Shovel actuators and peripheral devices were designed to spread and transport grains during caldron feeding process. After that, an online detection system based on machine vision and master computer were designed to control key parameters of caldron feeding process, including grains height, caldron pressure, robot speed and waiting time, etc. Finally, multiple brewing experiments were carried out on crushed grains and spent grains. The experimental results showed that robot system maximum working space was 3.15 m, which could feed 3 caldrons at the same time. During Chinese Baijiu distillation, air pressure average error in caldron was 8.28 %. High proportion of first-class liquor and second-class liquor was obtained, which met engineering production requirements.","PeriodicalId":44197,"journal":{"name":"INMATEH-Agricultural Engineering","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42336952","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}
For the problem of lacking reliable parameters during simulation analysis of the crushed corn stalk (CCS) micro-comminution process with gas-solid coupling method, the simulation parameters are calibrated using a combination of physical measurements and virtual experiments with CCS as the research object. The intrinsic parameters of CCS are obtained by physical experiment, and the stacking test is carried out by cylinder lifting method, and the actual angle of repose(AoR) is obtained as 44.12° by fitting the boundary line with Matlab software; the discrete element model of CCS is established, and the virtual stacking test is carried out by EDEM software; CCS-CCS dynamic friction coefficient, CCS-CCS static friction coefficient and JKR (Johnson-Kendall-Roberts) surface energy are identified as the parameters with significant effects on the AoR by Plackett-Burman test; the steepest climb test is leveraged to determine the center of response surface analysis; the quadratic polynomial regression model of the simulation parameters and the AoR is established by the Box-Behnken test using the AoR as the evaluation index, and the optimal combination of the significant parameters are obtained as follows: the CCS-CCS dynamic friction coefficient is 0.55, the CCS-CCS static friction coefficient is 0.14, and the JKR surface energy is 0.12; the AoR verification test is conducted based on the optimal combination of the significant parameters The results show that the AoR of the CCS is 43.82°, which is 0.68% of the actual AoR, indicating that the parameter combination is reliable. The data obtained in this research can provide corresponding simulation parameters for CCS discrete element simulation and the development of straw micro-crushing equipment.
{"title":"PARAMETERS CALIBRATION OF DISCRETE ELEMENT MODEL FOR CRUSHED CORN STALKS","authors":"Mingrui Fu, Xiaoqing Chen, Zefei Gao, Chengmeng Wang, Bing Xu, Yilin Hao","doi":"10.35633/inmateh-69-37","DOIUrl":"https://doi.org/10.35633/inmateh-69-37","url":null,"abstract":"For the problem of lacking reliable parameters during simulation analysis of the crushed corn stalk (CCS) micro-comminution process with gas-solid coupling method, the simulation parameters are calibrated using a combination of physical measurements and virtual experiments with CCS as the research object. The intrinsic parameters of CCS are obtained by physical experiment, and the stacking test is carried out by cylinder lifting method, and the actual angle of repose(AoR) is obtained as 44.12° by fitting the boundary line with Matlab software; the discrete element model of CCS is established, and the virtual stacking test is carried out by EDEM software; CCS-CCS dynamic friction coefficient, CCS-CCS static friction coefficient and JKR (Johnson-Kendall-Roberts) surface energy are identified as the parameters with significant effects on the AoR by Plackett-Burman test; the steepest climb test is leveraged to determine the center of response surface analysis; the quadratic polynomial regression model of the simulation parameters and the AoR is established by the Box-Behnken test using the AoR as the evaluation index, and the optimal combination of the significant parameters are obtained as follows: the CCS-CCS dynamic friction coefficient is 0.55, the CCS-CCS static friction coefficient is 0.14, and the JKR surface energy is 0.12; the AoR verification test is conducted based on the optimal combination of the significant parameters The results show that the AoR of the CCS is 43.82°, which is 0.68% of the actual AoR, indicating that the parameter combination is reliable. The data obtained in this research can provide corresponding simulation parameters for CCS discrete element simulation and the development of straw micro-crushing equipment.","PeriodicalId":44197,"journal":{"name":"INMATEH-Agricultural Engineering","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48724956","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}
The automatic detection of wheat ears in the field has important scientific research value in yield estimation, gene character expression and seed screening. The manual counting method of wheat ears commonly used by breeding experts has some problems, such as low efficiency and high influence of subjective factors. In order to accurately detect the number of wheat ears in the field, based on mobilenet series network model, deep separable convolution module and alpha channel technology, the yolov4 model is reconstructed and successfully applied to the task of wheat ear yield estimation in the field. The model can adapt to the accurate recognition and counting of wheat ear images in different light, viewing angle and growth period, At the same time, the model volume with different alpha parameters is more suitable for mobile terminal deployment. The results show that the parameters of the improved yolov4 model are five times smaller than the original model, the average detection accuracy is 76.45%, and the detection speed FPS is two times higher than the original model, which provides accurate technical support for rapid yield estimation of wheat in the field.
{"title":"AN IMPROVED YOLOV4 METHOD FOR RAPID DETECTION OF WHEAT EARS IN THE FIELD","authors":"Zongwei Jia, Yi Shao, Yijie Hou, Chenyu Zhao, Zhichuan Wang, Yiming Hou, Jinpeng Qin","doi":"10.35633/inmateh-69-17","DOIUrl":"https://doi.org/10.35633/inmateh-69-17","url":null,"abstract":"The automatic detection of wheat ears in the field has important scientific research value in yield estimation, gene character expression and seed screening. The manual counting method of wheat ears commonly used by breeding experts has some problems, such as low efficiency and high influence of subjective factors. In order to accurately detect the number of wheat ears in the field, based on mobilenet series network model, deep separable convolution module and alpha channel technology, the yolov4 model is reconstructed and successfully applied to the task of wheat ear yield estimation in the field. The model can adapt to the accurate recognition and counting of wheat ear images in different light, viewing angle and growth period, At the same time, the model volume with different alpha parameters is more suitable for mobile terminal deployment. The results show that the parameters of the improved yolov4 model are five times smaller than the original model, the average detection accuracy is 76.45%, and the detection speed FPS is two times higher than the original model, which provides accurate technical support for rapid yield estimation of wheat in the field.","PeriodicalId":44197,"journal":{"name":"INMATEH-Agricultural Engineering","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43713615","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 use the resonance principle for vibratory picking of Camellia oleifera fruit, the frequency sweep tests were carried out on the fruiting branches of Camellia oleifera trees. The results showed that the acceleration response of fruit-bearing branches had good consistency. The use of fruit removal rate alone to evaluate the picking effect is not reliable, and the introduction of energy utilization to evaluate the vibration picking effect is significant. The best results were a vibration frequency of 8 Hz and an excitation time of 10 s. The fruit removal rate was 88.12% and the energy utilization rate was 36.72%. Compared with the traditional fruit shedding rate, the application of energy utilization rate to evaluate the picking effect can improve the reliability of the results and reduce the energy loss.
{"title":"EXPERIMENT AND ANALYSIS OF MECHANIZED PICKING OF CAMELLIA OLEIFERA FRUIT BASED ON ENERGY UTILIZATION RATE","authors":"Delin Wu, Enlong Zhao, D. Fang, Yilin Liu, Shunli Wang, Cheng Wu, Feng Guo","doi":"10.35633/inmateh-69-16","DOIUrl":"https://doi.org/10.35633/inmateh-69-16","url":null,"abstract":"In order to use the resonance principle for vibratory picking of Camellia oleifera fruit, the frequency sweep tests were carried out on the fruiting branches of Camellia oleifera trees. The results showed that the acceleration response of fruit-bearing branches had good consistency. The use of fruit removal rate alone to evaluate the picking effect is not reliable, and the introduction of energy utilization to evaluate the vibration picking effect is significant. The best results were a vibration frequency of 8 Hz and an excitation time of 10 s. The fruit removal rate was 88.12% and the energy utilization rate was 36.72%. Compared with the traditional fruit shedding rate, the application of energy utilization rate to evaluate the picking effect can improve the reliability of the results and reduce the energy loss.","PeriodicalId":44197,"journal":{"name":"INMATEH-Agricultural Engineering","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46268062","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}
Igor Tsiz, S. Khomych, Vasyl Satsiuk, Victor Tarasiuk
For many years, global researches that focus on improving soil fertility have been conducted. Nowadays, innovative inculcations of environmentally (ecologically) friendly organic agriculture are becoming quite popular. One of the most effective indicators is the use of alternative types of fertilizers. As part of large-scale experiments, researchers propose to use fertilizers made from organic sapropel concentrated in freshwater lakes. Analysis of such studies shows that the impact of sapropel on soil fertility is significant and complex. The main problem they faced is the extraction of these deposits from underwater deposits (fields). Ukrainian scientists have proven the effectiveness of sapropel extraction by means of a pneumatic intake device. To substantiate the rational parameters of this device and visualize the processes, experimental studies of the work of the pneumatic working body were carried out. Namely, experimental studies of the determination of the trajectories of air bubbles in liquids of different viscosity were carried out. According to received trajectories, the boundaries of airflow and its shape are determined. Limpid liquids of different viscosities were used specially in order to see and fix the flow parameters, because it is impossible to observe such a phenomenon in sapropels placed in underwater deposits, due to their opacity and change of viscosity with depth of the bedding. Therefore, the experiment was considered as close as possible to the real one, and the environment of realization of the experiment was simulated. Water, industrial oil and concentrated detergent were selected as investigated liquids. Research data indicate that one can use a whirling airflow for better loosening of deposits of reduced humidity. Whirling occurs when there is a horizontal position of the outlet axis with a diameter in the range of 1-1.5 mm and air pressure of 300-400 kPa.
{"title":"RESEARCH OF THE AIR FLOW FORM IN THE INTAKE DEVICE FOR SAPROPEL EXTRACTION","authors":"Igor Tsiz, S. Khomych, Vasyl Satsiuk, Victor Tarasiuk","doi":"10.35633/inmateh-69-28","DOIUrl":"https://doi.org/10.35633/inmateh-69-28","url":null,"abstract":"For many years, global researches that focus on improving soil fertility have been conducted. Nowadays, innovative inculcations of environmentally (ecologically) friendly organic agriculture are becoming quite popular. One of the most effective indicators is the use of alternative types of fertilizers. As part of large-scale experiments, researchers propose to use fertilizers made from organic sapropel concentrated in freshwater lakes. Analysis of such studies shows that the impact of sapropel on soil fertility is significant and complex. The main problem they faced is the extraction of these deposits from underwater deposits (fields). Ukrainian scientists have proven the effectiveness of sapropel extraction by means of a pneumatic intake device. To substantiate the rational parameters of this device and visualize the processes, experimental studies of the work of the pneumatic working body were carried out. Namely, experimental studies of the determination of the trajectories of air bubbles in liquids of different viscosity were carried out. According to received trajectories, the boundaries of airflow and its shape are determined. Limpid liquids of different viscosities were used specially in order to see and fix the flow parameters, because it is impossible to observe such a phenomenon in sapropels placed in underwater deposits, due to their opacity and change of viscosity with depth of the bedding. Therefore, the experiment was considered as close as possible to the real one, and the environment of realization of the experiment was simulated. Water, industrial oil and concentrated detergent were selected as investigated liquids. Research data indicate that one can use a whirling airflow for better loosening of deposits of reduced humidity. Whirling occurs when there is a horizontal position of the outlet axis with a diameter in the range of 1-1.5 mm and air pressure of 300-400 kPa.","PeriodicalId":44197,"journal":{"name":"INMATEH-Agricultural Engineering","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49389053","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}
Dry direct seeding cultivation technology of rice is an important aspect of rice production and management. Six treatments were designed in this paper, and that is, T1 (conventional irrigation), T2 (conventional irrigation + conditioner), T3 (30% water-saving irrigation), T4 (30% water-saving irrigation + conditioner), T5 (50% water-saving irrigation), T6 (50% water-saving irrigation + conditioner). The results showed that in the three separate irrigation treatments, 30% water-saving irrigation was conducive to the growth of dry direct seeding rice at the tillering stage, jointing and booting stage, and 50% water-saving irrigation was more conducive to the growth of rice at grain filling stage. Compared with no application of amendments, all kinds of treatments could significantly promote the growth of dry direct seeding rice. Under the condition of water-saving irrigation of 30%, higher dry matter quality, yield and nutrient absorption can be obtained. The total dry matter quality and rice yield of T4 treatment with 30% water-saving irrigation and conditioner were the highest, which were 99.90 g/pot and 37.76 g/pot respectively, compared with conventional treatment (T1) was 37.60% and 45.96% higher, and this treatment had obvious effect on nitrogen and potassium absorption. In terms of quality impact, water saving was 30% Irrigation conditions are conducive to the improvement of rice processing quality, appearance quality and nutritional quality, especially after the application of conditioner, the overall rice quality is improved. This study has a certain reference value for water-saving irrigation, promoting nutrient utilization, stable yield and high quality of dry direct seeding rice.
{"title":"EFFECTS OF WATER-SAVING IRRIGATION COMBINED WITH CONDITIONER ON YIELD, NUTRIENT ABSORPTION AND QUALITY OF DRY DIRECT SEEDING RICE","authors":"Shuchang Lu, Xiawen Li","doi":"10.35633/inmateh-69-41","DOIUrl":"https://doi.org/10.35633/inmateh-69-41","url":null,"abstract":"Dry direct seeding cultivation technology of rice is an important aspect of rice production and management. Six treatments were designed in this paper, and that is, T1 (conventional irrigation), T2 (conventional irrigation + conditioner), T3 (30% water-saving irrigation), T4 (30% water-saving irrigation + conditioner), T5 (50% water-saving irrigation), T6 (50% water-saving irrigation + conditioner). The results showed that in the three separate irrigation treatments, 30% water-saving irrigation was conducive to the growth of dry direct seeding rice at the tillering stage, jointing and booting stage, and 50% water-saving irrigation was more conducive to the growth of rice at grain filling stage. Compared with no application of amendments, all kinds of treatments could significantly promote the growth of dry direct seeding rice. Under the condition of water-saving irrigation of 30%, higher dry matter quality, yield and nutrient absorption can be obtained. The total dry matter quality and rice yield of T4 treatment with 30% water-saving irrigation and conditioner were the highest, which were 99.90 g/pot and 37.76 g/pot respectively, compared with conventional treatment (T1) was 37.60% and 45.96% higher, and this treatment had obvious effect on nitrogen and potassium absorption. In terms of quality impact, water saving was 30% Irrigation conditions are conducive to the improvement of rice processing quality, appearance quality and nutritional quality, especially after the application of conditioner, the overall rice quality is improved. This study has a certain reference value for water-saving irrigation, promoting nutrient utilization, stable yield and high quality of dry direct seeding rice.","PeriodicalId":44197,"journal":{"name":"INMATEH-Agricultural Engineering","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42651611","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}
Because of the high similarity of leaves of different Cerasus humilis varieties, it is difficult to identify them with the naked eye. In this study, the leaves of four different Cerasus humilis varieties collected in the field were used as the research objects, and a new leaf recognition model based on the improved lightweight convolution neural network model EfficientNet-B0 was proposed. Firstly, the performance of the network models Efficientnet-B0 and ResNet50, GoogleNet, ShuffleNet, and MobileNetV3 were compared based on two different learning methods. Then, the influence of different optimizers on model recognition accuracy was compared based on the optimal model. Finally, different learning rates were used to optimize the optimal model. The results show that the recognition rate of the proposed Efficientnet-B0 +Ranger+0.0005 model was up to 86.9%, which was 2.23% higher than that of the original Efficientnet-B0 model. The results show that this method can effectively improve the recognition accuracy of Cerasus humilis auriculate leaves, which can provide a reference for the deployment of the leaf identification model of Cerasus humilis variety on the mobile terminal.
{"title":"CERASUS HUMILIS CULTIVARS IDENTIFICATION WITH SMALL-SAMPLE AND UNBALANCED DATASET BASED ON EFFICIENT NET-B0+RANGER NETWORKS","authors":"Lili Li, Hua Yang, Bin Wang","doi":"10.35633/inmateh-69-21","DOIUrl":"https://doi.org/10.35633/inmateh-69-21","url":null,"abstract":"Because of the high similarity of leaves of different Cerasus humilis varieties, it is difficult to identify them with the naked eye. In this study, the leaves of four different Cerasus humilis varieties collected in the field were used as the research objects, and a new leaf recognition model based on the improved lightweight convolution neural network model EfficientNet-B0 was proposed. Firstly, the performance of the network models Efficientnet-B0 and ResNet50, GoogleNet, ShuffleNet, and MobileNetV3 were compared based on two different learning methods. Then, the influence of different optimizers on model recognition accuracy was compared based on the optimal model. Finally, different learning rates were used to optimize the optimal model. The results show that the recognition rate of the proposed Efficientnet-B0 +Ranger+0.0005 model was up to 86.9%, which was 2.23% higher than that of the original Efficientnet-B0 model. The results show that this method can effectively improve the recognition accuracy of Cerasus humilis auriculate leaves, which can provide a reference for the deployment of the leaf identification model of Cerasus humilis variety on the mobile terminal.","PeriodicalId":44197,"journal":{"name":"INMATEH-Agricultural Engineering","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47568070","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 potato cropping pattern in the hilly area of southwest China, a small digging device for potato harvester was designed. First, the overall structure of the harvester was determined according to the soil physical characteristic and cropping pattern of the test site. Then, the digging shovel, the key components of harvester were designed and was analyzed the relationship between the inclination of the digging shovel and the power loss under the conditions of different digging speed, digging depth and soil bulk density by MATLAB software, and the mathematical models were established. Finally, the three-dimensional model of the whole machine was established by SolidWorks, and the simulation experiment was carried out with the model of soil particles, potato particles and potato ridges created by the discrete element (DEM) software. The simulation results show that when the working speed of the harvester is 1 m/s, the digging depth is 170 mm, and the potato expose rate is 87.3%. Under normal working conditions of the digging device, appropriately reducing the digging depth can reduce the resistance and wear of the digging shovels.
{"title":"DESIGN AND SIMULATION TEST OF DIGGING DEVICE FOR SMALL POTATO HARVESTER","authors":"Yuan Fu, Shiyi Ren, Peng Tang, Yuancai Leng, Xiaohu Chen, Xinye Tu, Xiaorong Lv","doi":"10.35633/inmateh-69-13","DOIUrl":"https://doi.org/10.35633/inmateh-69-13","url":null,"abstract":"Aiming at the potato cropping pattern in the hilly area of southwest China, a small digging device for potato harvester was designed. First, the overall structure of the harvester was determined according to the soil physical characteristic and cropping pattern of the test site. Then, the digging shovel, the key components of harvester were designed and was analyzed the relationship between the inclination of the digging shovel and the power loss under the conditions of different digging speed, digging depth and soil bulk density by MATLAB software, and the mathematical models were established. Finally, the three-dimensional model of the whole machine was established by SolidWorks, and the simulation experiment was carried out with the model of soil particles, potato particles and potato ridges created by the discrete element (DEM) software. The simulation results show that when the working speed of the harvester is 1 m/s, the digging depth is 170 mm, and the potato expose rate is 87.3%. Under normal working conditions of the digging device, appropriately reducing the digging depth can reduce the resistance and wear of the digging shovels.","PeriodicalId":44197,"journal":{"name":"INMATEH-Agricultural Engineering","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46102186","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}
Ye Zhang, Qing Jiang, Liangyuan Xu, Chao Huang, Huasheng Gan
Shell-and-tube heat exchangers are widely used in many research fields and industrial production processes, but little research has been conducted on the use of heat exchangers for drying crops. This study conducted a numerical simulation of the temperature, velocity, and pressure fields based on the shell-and-tube fluids of a heat exchanger in a biomass particle hot-blast stove. The correctness of the simulation results was verified by test data before simulation, and the mesh was verified to be irrelevant. The application of a multi-objective genetic algorithm in heat exchanger design and optimization was explored, considering five design variables, such as hot tube diameter, transverse pitch, longitudinal pitch, cold flow velocity, and hot flow velocity for optimization. The Nusselt number, friction factor, and comprehensive performance coefficient were used as objective functions for 2D and 3D response surface analysis. The final design variables P1=74.91 mm, P2=104.23 mm, P3=121.37 mm, P4=4.83 m/s, and P5=8.48 m/s were obtained to improve the comprehensive performance coefficient by 16.11%. The heat transfer performance was improved by 9.55% and the resistance performance was reduced by 15%.
管壳式换热器在许多研究领域和工业生产过程中得到了广泛的应用，但将换热器用于农作物干燥的研究却很少。本文对生物质颗粒热风炉换热器管壳流体的温度场、速度场和压力场进行了数值模拟。通过仿真前的试验数据验证了仿真结果的正确性，并验证了网格的无关性。探讨了多目标遗传算法在换热器设计优化中的应用，考虑热管直径、横节距、纵节距、冷流速度和热流速度等5个设计变量进行优化。以Nusselt数、摩擦系数和综合性能系数为目标函数进行二维和三维响应面分析。最终设计变量P1=74.91 mm, P2=104.23 mm, P3=121.37 mm, P4=4.83 m/s, P5=8.48 m/s，综合性能系数提高16.11%。传热性能提高了9.55%，阻力性能降低了15%。
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