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}
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}
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}
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}
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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：