Pub Date : 2022-01-01DOI: 10.12677/airr.2022.113024
喆 董
{"title":"Construction of a Sample Set of Earthquake-Damaged Buildings Based on Post-Disaster UAV Remote Sensing Images","authors":"喆 董","doi":"10.12677/airr.2022.113024","DOIUrl":"https://doi.org/10.12677/airr.2022.113024","url":null,"abstract":"","PeriodicalId":68167,"journal":{"name":"人工智能与机器人研究","volume":"10 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89156936","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}
Pub Date : 2022-01-01DOI: 10.12677/airr.2022.113027
启巡 肖
{"title":"Design of Integrated Logistics and Distribution Robot for Extermination and Transportation","authors":"启巡 肖","doi":"10.12677/airr.2022.113027","DOIUrl":"https://doi.org/10.12677/airr.2022.113027","url":null,"abstract":"","PeriodicalId":68167,"journal":{"name":"人工智能与机器人研究","volume":"29 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90661766","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}
Pub Date : 2022-01-01DOI: 10.12677/airr.2022.114034
利川 耿
{"title":"Research on Vehicle Detection in UAV Remote Sensing Image Based on Improved YOLOv5","authors":"利川 耿","doi":"10.12677/airr.2022.114034","DOIUrl":"https://doi.org/10.12677/airr.2022.114034","url":null,"abstract":"","PeriodicalId":68167,"journal":{"name":"人工智能与机器人研究","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75122107","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}
Pub Date : 2022-01-01DOI: 10.12677/airr.2022.112015
财 陈
{"title":"Lung X-Ray Multi-Label Classification Method Which Is Based on Densely Connected Neural Network","authors":"财 陈","doi":"10.12677/airr.2022.112015","DOIUrl":"https://doi.org/10.12677/airr.2022.112015","url":null,"abstract":"","PeriodicalId":68167,"journal":{"name":"人工智能与机器人研究","volume":"41 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79301948","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}
Pub Date : 2022-01-01DOI: 10.12677/airr.2022.112011
红樱 梅
{"title":"Intelligent Logistics Handling Robot Based on STM32","authors":"红樱 梅","doi":"10.12677/airr.2022.112011","DOIUrl":"https://doi.org/10.12677/airr.2022.112011","url":null,"abstract":"","PeriodicalId":68167,"journal":{"name":"人工智能与机器人研究","volume":"39 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84363623","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}
Pub Date : 2022-01-01DOI: 10.12677/airr.2022.112010
月 姜
{"title":"Research on Wheat Ears Recognition Algorithm Based on YOLOv5s Neural Network","authors":"月 姜","doi":"10.12677/airr.2022.112010","DOIUrl":"https://doi.org/10.12677/airr.2022.112010","url":null,"abstract":"","PeriodicalId":68167,"journal":{"name":"人工智能与机器人研究","volume":"62 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85395461","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}
Pub Date : 2022-01-01DOI: 10.12677/airr.2022.114038
宁 乔
{"title":"Application of Improved Ant Colony Algorithm Based on Harmony Search in UAV Path Planning","authors":"宁 乔","doi":"10.12677/airr.2022.114038","DOIUrl":"https://doi.org/10.12677/airr.2022.114038","url":null,"abstract":"","PeriodicalId":68167,"journal":{"name":"人工智能与机器人研究","volume":"20 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90022236","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}
Pub Date : 2022-01-01DOI: 10.12677/airr.2022.113025
春源 柳
At present, China’s farmland is increasingly affected by insect pests. Insect situation analysis can formulate different plans to control farmland pests according to the insect situation in different regions. Traditional pest situation analysis relies on manual collection and statistics, which is time-consuming and labor-consuming. With the development of deep learning technology in the field of computer vision, this paper proposes to build a farmland pest detection model by combin-ing YOLO-V5l target detection and ResNet50 neural network. Insects have the characteristics of diverse body shapes, missing scales and falling limbs in the image data, which have a great impact on the target detection and classification. Therefore, this paper roughly classifies 28 pests into seven A~G species according to their body shapes and colors, uses YOLO-V5l model to detect and count them, and then substitutes the detection results into ResNet50 recognition model to deter-mine their species. This method greatly reduces the false detection rate of farmland pest detection. Moreover, this paper proposes a predictive enhancement algorithm. After the pest images to be detected are enhanced, they are brought into the recognition model respectively, and the recognition results are weighted average to get the final results. mAP.5:.95 of single YOLO-V5l model was 71.4%, the average accuracy rate was 80.91%, and the missed detection rate was 5.39%. The average accuracy of the pest detection model proposed in this paper is 89.56%, which improves the recognition accuracy of farmland pests. The model will improve the shortcomings of original artificial statistics and promote the development of Intelligent Agriculture in China.
{"title":"Farmland Pest Detection Based on YOLO-V5l and ResNet50","authors":"春源 柳","doi":"10.12677/airr.2022.113025","DOIUrl":"https://doi.org/10.12677/airr.2022.113025","url":null,"abstract":"At present, China’s farmland is increasingly affected by insect pests. Insect situation analysis can formulate different plans to control farmland pests according to the insect situation in different regions. Traditional pest situation analysis relies on manual collection and statistics, which is time-consuming and labor-consuming. With the development of deep learning technology in the field of computer vision, this paper proposes to build a farmland pest detection model by combin-ing YOLO-V5l target detection and ResNet50 neural network. Insects have the characteristics of diverse body shapes, missing scales and falling limbs in the image data, which have a great impact on the target detection and classification. Therefore, this paper roughly classifies 28 pests into seven A~G species according to their body shapes and colors, uses YOLO-V5l model to detect and count them, and then substitutes the detection results into ResNet50 recognition model to deter-mine their species. This method greatly reduces the false detection rate of farmland pest detection. Moreover, this paper proposes a predictive enhancement algorithm. After the pest images to be detected are enhanced, they are brought into the recognition model respectively, and the recognition results are weighted average to get the final results. mAP.5:.95 of single YOLO-V5l model was 71.4%, the average accuracy rate was 80.91%, and the missed detection rate was 5.39%. The average accuracy of the pest detection model proposed in this paper is 89.56%, which improves the recognition accuracy of farmland pests. The model will improve the shortcomings of original artificial statistics and promote the development of Intelligent Agriculture in China.","PeriodicalId":68167,"journal":{"name":"人工智能与机器人研究","volume":"215 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79587950","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}
Pub Date : 2022-01-01DOI: 10.12677/airr.2022.113026
成 郭
{"title":"Research on Improved BP Neural Network Character Recognition Algorithm Based on PSO","authors":"成 郭","doi":"10.12677/airr.2022.113026","DOIUrl":"https://doi.org/10.12677/airr.2022.113026","url":null,"abstract":"","PeriodicalId":68167,"journal":{"name":"人工智能与机器人研究","volume":"30 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77648100","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}
Pub Date : 2022-01-01DOI: 10.12677/airr.2022.114037
丽敏 胡
{"title":"Application of Artificial Intelligence Semantic Segmentation Technology in Piano Education","authors":"丽敏 胡","doi":"10.12677/airr.2022.114037","DOIUrl":"https://doi.org/10.12677/airr.2022.114037","url":null,"abstract":"","PeriodicalId":68167,"journal":{"name":"人工智能与机器人研究","volume":"31 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85389974","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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