To ensure accurate and consistent fertilizer application, the key component of the fertilizer feeding device, the grooved wheel, was designed and theoretically analyzed, and the number of grooves of the fertilizer wheel was determined to be 9. The effects of grooves inclination angle, grooves length and operating speed on the fertilizer feeding performance were analyzed by single-factor tests, and the appropriate range of factors was determined. The effect of the interaction between groove length and operating speed on the amount of fertilizer discharged from the groove was investigated by a full factorial test, and a quadratic regression was fitted to the test results to establish the regression equations of groove length and operating speed on the average fertilizer application per groove and the coefficient of variation of the average fertilizer application per groove, which can be used to predict the average fertilizer application per groove and the coefficient of variation of the average fertilizer application per groove to solve for groove length and operating speed.
{"title":"DESIGN AND TEST OF QUANTITATIVE FERTILIZER FEEDING DEVICE FOR POINT-APPLIED FERTILIZATION DEVICE","authors":"Xin Du, Changqing Liu, Xuhui Li, Wei Zhu, Qixin Sun, Shufa Chen","doi":"10.35633/inmateh-70-38","DOIUrl":"https://doi.org/10.35633/inmateh-70-38","url":null,"abstract":"To ensure accurate and consistent fertilizer application, the key component of the fertilizer feeding device, the grooved wheel, was designed and theoretically analyzed, and the number of grooves of the fertilizer wheel was determined to be 9. The effects of grooves inclination angle, grooves length and operating speed on the fertilizer feeding performance were analyzed by single-factor tests, and the appropriate range of factors was determined. The effect of the interaction between groove length and operating speed on the amount of fertilizer discharged from the groove was investigated by a full factorial test, and a quadratic regression was fitted to the test results to establish the regression equations of groove length and operating speed on the average fertilizer application per groove and the coefficient of variation of the average fertilizer application per groove, which can be used to predict the average fertilizer application per groove and the coefficient of variation of the average fertilizer application per groove to solve for groove length and operating speed.","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":"42592390","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}
Weiwei Cheng, Yu Wang, Changchao Wang, Tao Wang, Junlin He, Zhouhua Liu
The sunken solar greenhouse is suitable for the development of vertical planting, which results in higher yield. In order to investigate the effect of temperature on photosynthesis of plants, an experimental study was conducted on the temperature and photosynthesis of strawberry plants at different heights in the sunken solar greenhouse. The study showed that when the indoor temperature was higher than 25.5℃, the photosynthesis of plants was inhibited; the transpiration rate decreased by 3.89 and photosynthesis rate decreased by 3.95 when the air temperature increased from 25.5℃ to 33.3℃ and then decreased to 25.4℃ at a height of 1.8m from the indoor floor; there were temperature differences in the vertical direction between the indoor temperatures of the sunken heliostat. The maximum temperatures at 0 m, 0.6 m, 1.0 m, 1.4 m, and 1.8 m height were 20.6°C, 24.1°C, 25.4°C, 25.4°C, 33, and 3°C, respectively, and different temperatures would have different photosynthetic characteristics of plants. This study can provide basic support for greenhouse regulation.
{"title":"STUDY ON THE VARIATION OF THERMAL ENVIRONMENT AND PHOTOSYNTHESIS CHARACTERISTICS OF STRAWBERRY IN A SOLAR GREENHOUSE","authors":"Weiwei Cheng, Yu Wang, Changchao Wang, Tao Wang, Junlin He, Zhouhua Liu","doi":"10.35633/inmateh-70-21","DOIUrl":"https://doi.org/10.35633/inmateh-70-21","url":null,"abstract":"The sunken solar greenhouse is suitable for the development of vertical planting, which results in higher yield. In order to investigate the effect of temperature on photosynthesis of plants, an experimental study was conducted on the temperature and photosynthesis of strawberry plants at different heights in the sunken solar greenhouse. The study showed that when the indoor temperature was higher than 25.5℃, the photosynthesis of plants was inhibited; the transpiration rate decreased by 3.89 and photosynthesis rate decreased by 3.95 when the air temperature increased from 25.5℃ to 33.3℃ and then decreased to 25.4℃ at a height of 1.8m from the indoor floor; there were temperature differences in the vertical direction between the indoor temperatures of the sunken heliostat. The maximum temperatures at 0 m, 0.6 m, 1.0 m, 1.4 m, and 1.8 m height were 20.6°C, 24.1°C, 25.4°C, 25.4°C, 33, and 3°C, respectively, and different temperatures would have different photosynthetic characteristics of plants. This study can provide basic support for greenhouse regulation.","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":"43116921","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}
Zhen Wang, Keqing Qian, Xiaoli Zhu, Xinyu Hu, Xinran Li
With the rapid development of agricultural machinery intelligence and informatization, agricultural robots are becoming the protagonist, promoting standardized production in agriculture, improving efficiency, and reducing labor costs. However, how to quickly plan an efficient and safe path for agricultural transport robots is currently a hot topic in path planning research. In this study, the path optimization problem of agricultural robots handling agricultural products (such as Edible Fungi) in and out of warehouses, which served as the study object, was solved. First, the number of agricultural handling robots was initialized based on the scanning method, and the geometric center of sub-path nodes was set as the virtual node. Secondly, the optimal path of the virtual node was solved using the improved ant colony algorithm embedded with a genetic operator, and the optimal result of sub-paths was acquired. Thirdly, the optimal solution meeting constraint conditions was obtained with the launch cost, transportation cost, and time cost of agricultural robots as objective functions. Lastly, the effectiveness of the optimization model and the improved ant colony algorithm was verified through the instance analysis. This study is of certain significance to the exwarehousing path optimization of agricultural robots under the sustainable development concept of agricultural automation.
{"title":"ANALYSIS ON HANDLING PATH OPTIMIZATION OF AGRICULTURAL ROBOTS BASED ON IMPROVED ANT COLONY ALGORITHM","authors":"Zhen Wang, Keqing Qian, Xiaoli Zhu, Xinyu Hu, Xinran Li","doi":"10.35633/inmateh-70-44","DOIUrl":"https://doi.org/10.35633/inmateh-70-44","url":null,"abstract":"With the rapid development of agricultural machinery intelligence and informatization, agricultural robots are becoming the protagonist, promoting standardized production in agriculture, improving efficiency, and reducing labor costs. However, how to quickly plan an efficient and safe path for agricultural transport robots is currently a hot topic in path planning research. In this study, the path optimization problem of agricultural\u0000robots handling agricultural products (such as Edible Fungi) in and out of warehouses, which served as the study object, was solved. First, the number of agricultural handling robots was initialized based on the scanning method, and the geometric center of sub-path nodes was set as the virtual node. Secondly, the optimal path of the virtual node was solved using the improved ant colony algorithm embedded with a genetic operator, and the optimal result of sub-paths was acquired. Thirdly, the optimal solution meeting constraint conditions was obtained with the launch cost, transportation cost, and time cost of agricultural robots as objective functions. Lastly, the effectiveness of the optimization model and the improved ant colony algorithm was verified through the instance analysis. This study is of certain significance to the exwarehousing path optimization of agricultural robots under the sustainable development concept of\u0000agricultural automation.","PeriodicalId":44197,"journal":{"name":"INMATEH-Agricultural Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69904317","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}
Man Chen, Gong Cheng, Jinshan Xu, Guangyue Zhang, Chengqian Jin
In this study, an online detection system of soybean crushed rate and impurity rate based on DeepLabV3+model was constructed. Three feature extraction networks, namely the MobileNetV2, Xception-65, and ResNet-50 models, were adopted to obtain the best DeepLabV3+model through test analysis. Two well-established semantic segmentation networks, the improved U-Net and PSPNet, are used for mechanically harvested soybean image recognition and segmentation, and their performances are compared with the DeepLabV3+ model’s performance. The results show that, of all the models, the improved U-Net has the best segmentation performance, achieving a mean intersection over union (FMIOU) value of 0.8326. The segmentation performance of the DeepLabV3+ model using the MobileNetV2 is similar to that of the U-Net, achieving FMIOU of 0.8180. The DeepLabV3+ model using the MobileNetV2 has a fast segmentation speed of 168.6 ms per image. Taking manual detection results as a benchmark, the maximum absolute and relative errors of the impurity rate of the detection system based on the DeepLabV3+ model with the MobileNetV2 of mechanized soybean harvesting operation are 0.06% and 8.11%, respectively. The maximum absolute and relative errors of the crushed rate of the same system are 0.34% and 9.53%, respectively.
{"title":"ONLINE DETECTION SYSTEM FOR CRUSHED RATE AND IMPURITY RATE OF MECHANIZED SOYBEAN BASED ON DEEPLABV3+","authors":"Man Chen, Gong Cheng, Jinshan Xu, Guangyue Zhang, Chengqian Jin","doi":"10.35633/inmateh-70-48","DOIUrl":"https://doi.org/10.35633/inmateh-70-48","url":null,"abstract":"In this study, an online detection system of soybean crushed rate and impurity rate based on DeepLabV3+model was constructed. Three feature extraction networks, namely the MobileNetV2, Xception-65, and ResNet-50 models, were adopted to obtain the best DeepLabV3+model through test analysis. Two well-established semantic segmentation networks, the improved U-Net and PSPNet, are used for mechanically harvested soybean image recognition and segmentation, and their performances are compared with the DeepLabV3+ model’s performance. The results show that, of all the models, the improved U-Net has the best segmentation performance, achieving a mean intersection over union (FMIOU) value of 0.8326. The segmentation performance of the DeepLabV3+ model using the MobileNetV2 is similar to that of the U-Net, achieving FMIOU of 0.8180. The DeepLabV3+ model using the MobileNetV2 has a fast segmentation speed of 168.6 ms per image. Taking manual detection results as a benchmark, the maximum absolute and relative errors of the impurity rate of the detection system based on the DeepLabV3+ model with the MobileNetV2 of mechanized soybean harvesting operation are 0.06% and 8.11%, respectively. The maximum absolute and relative errors of the crushed rate of the same system are 0.34% and 9.53%, respectively.","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":"44766864","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 contact parameters setting determines the accuracy of discrete element method (DEM) simulation analysis, while there is a lack of research on contact parameters of green onion seed. In this paper, the physical parameters of green onion seeds were measured by experiment, and the DEM parameters were calibrated by simulation. Based on EDEM software, the Hertz-Mindlin no-slip model was used to create the particle model of green onion seeds that takes on the shape of peltate with the irregular surface, and the repose angle was measured by the measurement method of lifted cylinder. Plackett-Burman test was designed to screen the significance of parameters, and the optimal range of significance parameters was further determined through the steepest climbing test. Then the regression model of seeds repose angle was obtained by Box-Behnken test and the optimal parameter combination was calculated: the static friction factor between seeds was 0.424, the rolling friction factor was 0.085, the static friction factor between seeds and steel was 0.310. The optimized repose angle in the simulation had an overall relative error of 0.54%, indicating that the contact parameters of the calibrated green onion seed had high accuracy.
{"title":"MEASUREMENT OF PHYSICAL PROPERTY PARAMETERS AND SIMULATIVE CALIBRATION OF DEM PARAMETERS FOR GREEN ONION SEEDS","authors":"Chong Tao, Zhiye Mo, Fang-hai Lu, Zhihe Li, Dianbin Su, Yinping Zhang","doi":"10.35633/inmateh-70-13","DOIUrl":"https://doi.org/10.35633/inmateh-70-13","url":null,"abstract":"The contact parameters setting determines the accuracy of discrete element method (DEM) simulation analysis, while there is a lack of research on contact parameters of green onion seed. In this paper, the physical parameters of green onion seeds were measured by experiment, and the DEM parameters were calibrated by simulation. Based on EDEM software, the Hertz-Mindlin no-slip model was used to create the particle model of green onion seeds that takes on the shape of peltate with the irregular surface, and the repose angle was measured by the measurement method of lifted cylinder. Plackett-Burman test was designed to screen the significance of parameters, and the optimal range of significance parameters was further determined through the steepest climbing test. Then the regression model of seeds repose angle was obtained by Box-Behnken test and the optimal parameter combination was calculated: the static friction factor between seeds was 0.424, the rolling friction factor was 0.085, the static friction factor between seeds and steel was 0.310. The optimized repose angle in the simulation had an overall relative error of 0.54%, indicating that the contact parameters of the calibrated green onion seed had high accuracy.","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":"45671945","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}
With the development of the economy and society and the improvement of living standards, the demand for fresh products is increasing, and the huge demand has driven the rapid growth of fresh products in China. However, fresh products are prone to spoilage and wear, and higher transportation requirements are put forward to ensure product quality. Based on this, the transportation function of cold chain logistics vehicles on farm products cold chain logistics greatly improves the cold chain transportation efficiency of agricultural products. Aiming at the vehicle path problem of cold chain logistics distribution and under multiple refrigerated trucks, a single distribution center, and multiple commodity types, a path optimization model of cold chain logistics vehicles was established with the optimal evaluation of total distribution cost and distribution vehicles as the objective considering the economy, greenness, and sustainability of vehicles. Then, an evaluation index system of refrigerated trucks consisting of cost index, environmental index and quality index was established, an AHP-TOPSIS (Analytic Hierarchy Process, Technique for Order Preference by Similarity to an Ideal Solution) evaluation model of refrigerated trucks was constructed, and the comprehensive evaluation value of refrigerated trucks was obtained. On the basis of vehicle evaluation results, the corresponding vehicle path optimization model of agricultural cold chain logistics was established, the large-scale neighborhood search SA algorithm was designed to solve an example, and the optimization model was compared with the optimization model without considering vehicle evaluation. The experimental results show that considering the vehicle evaluation factors can effectively reduce the distribution cost, and increasing the vehicle evaluation weight can effectively improve the greenness and sustainability of the distribution fleet.
随着经济社会的发展和生活水平的提高，人们对生鲜产品的需求越来越大，巨大的需求带动了中国生鲜产品的快速增长。但新鲜产品容易变质、磨损，为保证产品质量，对运输提出了更高的要求。基于此，冷链物流车辆对农产品冷链物流的运输功能大大提高了农产品冷链运输效率。针对冷链物流配送车辆路径问题，在多辆冷藏车、一个配送中心、多种商品类型的情况下，以配送总成本和配送车辆的最优评价为目标，考虑车辆的经济性、环保性和可持续性，建立了冷链物流车辆路径优化模型。然后，建立了由成本指标、环境指标和质量指标组成的冷藏车评价指标体系，构建了冷藏车的AHP-TOPSIS(层次分析法，Order preference Technique for Similarity to an Ideal Solution)评价模型，得到了冷藏车的综合评价值。在车辆评价结果的基础上，建立了相应的农产品冷链物流车辆路径优化模型，设计了大规模邻域搜索SA算法求解实例，并将优化模型与不考虑车辆评价的优化模型进行了比较。实验结果表明，考虑车辆评价因素可以有效降低配送成本，增加车辆评价权重可以有效提高配送车队的绿色度和可持续性。
{"title":"VEHICLE PATH OPTIMIZATION OF AGRICULTURAL PRODUCTS COLD CHAIN LOGISTICS BASED ON GREEN EVALUATION","authors":"Jinhui Yu, Lili Cheng","doi":"10.35633/inmateh-70-43","DOIUrl":"https://doi.org/10.35633/inmateh-70-43","url":null,"abstract":"With the development of the economy and society and the improvement of living standards, the demand for fresh products is increasing, and the huge demand has driven the rapid growth of fresh products in China. However, fresh products are prone to spoilage and wear, and higher transportation requirements are put forward to ensure product quality. Based on this, the transportation function of cold chain logistics vehicles on farm products cold chain logistics greatly improves the cold chain transportation efficiency of agricultural products. Aiming at the vehicle path problem of cold chain logistics distribution and under multiple refrigerated trucks, a single distribution center, and multiple commodity types, a path optimization model of\u0000cold chain logistics vehicles was established with the optimal evaluation of total distribution cost and distribution vehicles as the objective considering the economy, greenness, and sustainability of vehicles. Then, an evaluation index system of refrigerated trucks consisting of cost index, environmental index and quality index was established, an AHP-TOPSIS (Analytic Hierarchy Process, Technique for Order Preference\u0000by Similarity to an Ideal Solution) evaluation model of refrigerated trucks was constructed, and the comprehensive evaluation value of refrigerated trucks was obtained. On the basis of vehicle evaluation results, the corresponding vehicle path optimization model of agricultural cold chain logistics was established, the large-scale neighborhood search SA algorithm was designed to solve an example, and the\u0000optimization model was compared with the optimization model without considering vehicle evaluation. The experimental results show that considering the vehicle evaluation factors can effectively reduce the distribution cost, and increasing the vehicle evaluation weight can effectively improve the greenness and sustainability of the distribution fleet.","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":"44092238","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 this paper, a small pneumatic vegetable precision seeder suitable for facility greenhouses was designed. Based on the traditional positive and negative pressure seed-metering device, the airway disc structure was designed, and the negative pressure air chamber was divided into three separate air chambers. The separate air chambers could solve the problems of high-pressure requirements of traditional seed-metering device with large air chamber and suitable for small power machineries more. One, two, or three rows drill can be completed by replacing the seed plate and divider. The seed discharge process of the seed-metering device was analyzed and the bench test was performed. Results showed that the required pressure of the seedmetering device with the airway disk was 1 kPa less than traditional seed-metering device with large air chamber when the eligible rate of seed discharge was 95%. Field experiments were performed, results showed that the best performance were achieved under the speed of 3 km/h, for 3.72 % missed, 1.93% repeat and 94.35 % of inner ring, and 5.72%, 1.87% and 92.41% respectively of outer, meeting the requirements for vegetable seeding.
{"title":"DESIGN AND EXPERIMENT OF SMALL VEGETABLE SEEDER WITH SINGLE DISC MULTI-ROW SEEDING AND INDEPENDENT AIRWAY","authors":"Yin-ping Zhang, Xin Yang, Xiaoran Li, Zhenwei Wang, Hua Zhou, Jiasheng Wang","doi":"10.35633/inmateh-70-03","DOIUrl":"https://doi.org/10.35633/inmateh-70-03","url":null,"abstract":"In this paper, a small pneumatic vegetable precision seeder suitable for facility greenhouses was designed. Based on the traditional positive and negative pressure seed-metering device, the airway disc structure was designed, and the negative pressure air chamber was divided into three separate air chambers. The separate\u0000air chambers could solve the problems of high-pressure requirements of traditional seed-metering device with large air chamber and suitable for small power machineries more. One, two, or three rows drill can be completed by replacing the seed plate and divider. The seed discharge process of the seed-metering device was analyzed and the bench test was performed. Results showed that the required pressure of the seedmetering device with the airway disk was 1 kPa less than traditional seed-metering device with large air chamber when the eligible rate of seed discharge was 95%. Field experiments were performed, results showed that the best performance were achieved under the speed of 3 km/h, for 3.72 % missed, 1.93% repeat and 94.35 % of inner ring, and 5.72%, 1.87% and 92.41% respectively of outer, meeting the requirements for vegetable seeding.","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":"47444924","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}
Valerian CEREMPEI, Eduard BANARI, Gheorghe POȘTARU, Lucretia POPA
In the given article, the results of the tribological research of the chrome-gray cast iron coupling are presented, the friction conditions between the cylinder liner and the compression segment being lubricated in various environments are modeled: diesel (control), pure biodiesel B100 and biodiesel-diesel B20 mixture. It was established that the average values of the coefficient of friction in the chrome-gray cast iron coupling, in the case of using biofuels B20, B100 as the lubricating material, are higher in relation to diesel fuel: by 15.6% for B20 and, respectively, by 23.3% for B100. The values of the total wear of the tribological coupling decreased, in relation to diesel, by 36.8% in the case of lubrication with B20 and by 39.5% - with B100.
{"title":"TRIBOLOGICAL RESEARCH OF THE CHROME- GRAY CAST IRON COUPLING WITH LUBRICATION IN DIFFERENT ENVIRONMENTS","authors":"Valerian CEREMPEI, Eduard BANARI, Gheorghe POȘTARU, Lucretia POPA","doi":"10.35633/inmateh-70-56","DOIUrl":"https://doi.org/10.35633/inmateh-70-56","url":null,"abstract":"In the given article, the results of the tribological research of the chrome-gray cast iron coupling are presented, the friction conditions between the cylinder liner and the compression segment being lubricated in various environments are modeled: diesel (control), pure biodiesel B100 and biodiesel-diesel B20 mixture. It was established that the average values of the coefficient of friction in the chrome-gray cast iron coupling, in the case of using biofuels B20, B100 as the lubricating material, are higher in relation to diesel fuel: by 15.6% for B20 and, respectively, by 23.3% for B100. The values of the total wear of the tribological coupling decreased, in relation to diesel, by 36.8% in the case of lubrication with B20 and by 39.5% - with B100.","PeriodicalId":44197,"journal":{"name":"INMATEH-Agricultural Engineering","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136337020","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}
To explore the application of traditional machine learning model in the intelligent management of pigs, in this paper, the influence of the PCA pre-treatment on pig face identification with KNN is studied. With testing method, individual identification test was carried out on 10 different pigs in two testing schemes, in which one adopted KNN alone and the other adopted PCA + KNN, for which the classifier parameter was taken as 3 and 5, respectively. In the optimized scheme, the operating efficiency got significantly increased, also the training time and testing time were reduced to 4.8% and 7% of the original value in the KNN alone scheme, though the accuracy got lowered to a certain extent. With all these factors taken into consideration, PCA pre-treatment is beneficial to individual pig identification with KNN. It can provide experimental support for mobile terminals and embedded application of KNN classifiers.
{"title":"STUDY ON THE INFLUENCE OF PCA PRE-TREATMENT ON PIG FACE IDENTIFICATION WITH KNN","authors":"Hong-Ping Yan, Zhiwei Hu, Yiran Liu","doi":"10.35633/inmateh-70-08","DOIUrl":"https://doi.org/10.35633/inmateh-70-08","url":null,"abstract":"To explore the application of traditional machine learning model in the intelligent management of pigs, in this paper, the influence of the PCA pre-treatment on pig face identification with KNN is studied. With testing method, individual identification test was carried out on 10 different pigs in two testing schemes, in which one adopted KNN alone and the other adopted PCA + KNN, for which the classifier parameter was taken as 3 and 5, respectively. In the optimized scheme, the operating efficiency got significantly increased, also the training time and testing time were reduced to 4.8% and 7% of the original value in the KNN alone scheme, though the accuracy got lowered to a certain extent. With all these factors taken into consideration, PCA pre-treatment is beneficial to individual pig identification with KNN. It can provide experimental support for mobile terminals and embedded application of KNN classifiers.","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":"41396223","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. Matache, I. Gageanu, G. Gheorghe, C. Persu, Marian Chirițescu, M. Nițu
The utilization of unmanned aerial vehicles (UAVs) for chemical application has become a topic of great interest to both researchers and the market in recent times. Producers have proposed the use of drones for joint spraying as a means of enhancing precision agriculture and productivity. However, chemical spraying is a highly specialized field where the quality of the spray is critical so the used UAV have to be precise and reliable. Within this paper will be presented the process of developing a tricopter-hexarotor chassis type UAV, electrically driven, fitted with a 66 litres tank and 6 anti-drift nozzles which will be used for precision spraying of agricultural crops based on preprogrammed flying missions.
{"title":"DEVELOPMENT OF A TRICOPTER-HEXAROTOR AGRICULTURAL UAV DESTINED FOR THE REALIZATION OF PRECISION SPRAYING WORKS","authors":"M. Matache, I. Gageanu, G. Gheorghe, C. Persu, Marian Chirițescu, M. Nițu","doi":"10.35633/inmateh-70-01","DOIUrl":"https://doi.org/10.35633/inmateh-70-01","url":null,"abstract":"The utilization of unmanned aerial vehicles (UAVs) for chemical application has become a topic of great interest to both researchers and the market in recent times. Producers have proposed the use of drones for joint spraying as a means of enhancing precision agriculture and productivity. However, chemical spraying is a highly specialized field where the quality of the spray is critical so the used UAV have to be precise and reliable. Within this paper will be presented the process of developing a tricopter-hexarotor chassis type UAV, electrically driven, fitted with a 66 litres tank and 6 anti-drift nozzles which will be used for precision spraying of agricultural crops based on preprogrammed flying missions.","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":"42587320","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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