{"title":"Verification of the Psychological Effects of the IoT Flowerpot System Aiming at Life Support","authors":"Kotoko Tanaka, Sakiko Ogoshi, Yasuhiro Ogoshi","doi":"10.18494/sam4482","DOIUrl":"https://doi.org/10.18494/sam4482","url":null,"abstract":"","PeriodicalId":22154,"journal":{"name":"Sensors and Materials","volume":"480 ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139204069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Novel Texture Feature Based on Fourier Transform for Building Damage Recognition from PolSAR Data","authors":"Wei Zhai, Yaxin Bi, Xiaoqing Wang, Xiangjun Wang","doi":"10.18494/sam4346","DOIUrl":"https://doi.org/10.18494/sam4346","url":null,"abstract":"","PeriodicalId":22154,"journal":{"name":"Sensors and Materials","volume":"54 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139210864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Development of Size Estimation Method for Occluded Circular Masks and Application to Infrared Peach Images","authors":"Ryota Nomura, Kazuo Oki, Daisuke Takata","doi":"10.18494/sam4229","DOIUrl":"https://doi.org/10.18494/sam4229","url":null,"abstract":"","PeriodicalId":22154,"journal":{"name":"Sensors and Materials","volume":"12 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139211750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We developed a practical approach to locate individual open-field broccoli plants with a position error of less than 5 cm, using the georeferenced high-resolution orthomosaic imagery generated through the unmanned aerial vehicle-based photogrammetry and the YOLOv5 object detection model. The feasibility of our method was evaluated on the basis of two angles: the cost of preparing training data and the accuracy of object detection. The orthomosaic imagery was generated for two plots: Plot A, which experienced large variations in plant growth due to drought-induced mortality and replanting, and Plot B, which showed small variations under normal growing conditions. On the basis of the result of analysis under our recommended settings for the training data, we found that (1) the detection accuracy improved with an increase in the amount of training data in both Plots A and B; (2) in Plot A, 95% of a total of 21277 plants were detected using training data for approximately 630 plants selected to represent the individual differences in growth; and (3) in Plot B, 98% of all 7836 plants were detected using training data for approximately 126 plants selected randomly. Our findings can guide the optimal balance between the cost of training data preparation and the desired accuracy level of object detection in precision crop management, particularly for broccoli production.
我们开发了一种实用方法，利用无人机摄影测量生成的地理坐标高分辨率正射影像图和 YOLOv5 物体检测模型，定位单个露地西兰花植株，位置误差小于 5 厘米。我们从两个角度评估了该方法的可行性：准备训练数据的成本和物体检测的准确性。我们为两个地块生成了正射影像图：地块 A 和地块 B 在正常生长条件下植物生长变化较小。根据我们推荐的训练数据设置进行分析的结果，我们发现：(1) 在地块 A 和地块 B 中，随着训练数据量的增加，检测准确率也在提高；(2) 在地块 A 中，使用随机选取的约 630 株植物的训练数据，在总共 21277 株植物中检测到了 95%的植物；(3) 在地块 B 中，使用随机选取的约 126 株植物的训练数据，在总共 7836 株植物中检测到了 98%的植物。我们的研究结果可以指导在精确作物管理中，尤其是在西兰花生产中，如何在训练数据准备成本与目标检测所需精确度之间取得最佳平衡。
{"title":"Locating Open-field Broccoli Plants with Unmanned Aerial Vehicle Photogrammetry and Object Detection Algorithm: A Practical Prediction Approach","authors":"Hiroki Hayashi, Hiroto Shimazaki, Ryoji Korei, Kazuo Oki","doi":"10.18494/sam4364","DOIUrl":"https://doi.org/10.18494/sam4364","url":null,"abstract":"We developed a practical approach to locate individual open-field broccoli plants with a position error of less than 5 cm, using the georeferenced high-resolution orthomosaic imagery generated through the unmanned aerial vehicle-based photogrammetry and the YOLOv5 object detection model. The feasibility of our method was evaluated on the basis of two angles: the cost of preparing training data and the accuracy of object detection. The orthomosaic imagery was generated for two plots: Plot A, which experienced large variations in plant growth due to drought-induced mortality and replanting, and Plot B, which showed small variations under normal growing conditions. On the basis of the result of analysis under our recommended settings for the training data, we found that (1) the detection accuracy improved with an increase in the amount of training data in both Plots A and B; (2) in Plot A, 95% of a total of 21277 plants were detected using training data for approximately 630 plants selected to represent the individual differences in growth; and (3) in Plot B, 98% of all 7836 plants were detected using training data for approximately 126 plants selected randomly. Our findings can guide the optimal balance between the cost of training data preparation and the desired accuracy level of object detection in precision crop management, particularly for broccoli production.","PeriodicalId":22154,"journal":{"name":"Sensors and Materials","volume":"303 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139209340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hiroto Higa, Ryota Ideno, S. I. Salem, Hiroshi Kobayashi
{"title":"Uncertainty Analysis of Particle Backscattering Coefficient Measurement for Multiple Highly Turbid Water Areas in Ocean Color Remote Sensing","authors":"Hiroto Higa, Ryota Ideno, S. I. Salem, Hiroshi Kobayashi","doi":"10.18494/sam4576","DOIUrl":"https://doi.org/10.18494/sam4576","url":null,"abstract":"","PeriodicalId":22154,"journal":{"name":"Sensors and Materials","volume":"191 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139210495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Land Subsidence Monitoring and Analysis in Heifei Based on Sentinel-1A Data","authors":"Kai Xu, Siyuan Liu, Chengcheng Fan","doi":"10.18494/sam4546","DOIUrl":"https://doi.org/10.18494/sam4546","url":null,"abstract":"","PeriodicalId":22154,"journal":{"name":"Sensors and Materials","volume":"45 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139212459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Muhammad Salah, Hiroto Higa, Joji Ishizaka, S. I. Salem
{"title":"1D Convolutional Neural Network-based Chlorophyll-a Retrieval Algorithm for Sentinel-2 MultiSpectral Instrument in Various Trophic States","authors":"Muhammad Salah, Hiroto Higa, Joji Ishizaka, S. I. Salem","doi":"10.18494/sam4331","DOIUrl":"https://doi.org/10.18494/sam4331","url":null,"abstract":"","PeriodicalId":22154,"journal":{"name":"Sensors and Materials","volume":"74 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139210034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pratikto, Muhammad Arman, M. A. Falahuddin, Ryandi Ananda Pratama, Raydha Zul Fitriani, Yean-Der Kuan
{"title":"Temperature Data Acquisition System for Showcase Refrigerator Based on ESP32 and Online Remote Display","authors":"Pratikto, Muhammad Arman, M. A. Falahuddin, Ryandi Ananda Pratama, Raydha Zul Fitriani, Yean-Der Kuan","doi":"10.18494/sam4691","DOIUrl":"https://doi.org/10.18494/sam4691","url":null,"abstract":"","PeriodicalId":22154,"journal":{"name":"Sensors and Materials","volume":"1 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139265051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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