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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 林達德(Ta-Te Lin) | |
| dc.contributor.author | Shao-Ang Tuan | en |
| dc.contributor.author | 段紹安 | zh_TW |
| dc.date.accessioned | 2021-06-17T03:15:45Z | - |
| dc.date.available | 2020-08-24 | |
| dc.date.copyright | 2020-08-24 | |
| dc.date.issued | 2020 | |
| dc.date.submitted | 2020-08-18 | |
| dc.identifier.citation | 行政院農業委員會。2018。107年農業統計年報。台北：行政院農業委員會統計室。 蔡雨錡。2018。乳牛熱緊迫影像監控系統之建置與資料分析。碩士論文。台北：臺灣大學生物機電工程學研究所。 官承譽。2019。基於深度學習之泌乳牛採食行為影像監測系統。碩士論文。台北：臺灣大學生物機電工程學研究所。 Al‐Khalidi, F. Q., Saatchi, R., Burke, D., Elphick, H., Tan, S. (2011). Respiration rate monitoring methods: A review. Pediatric pulmonology, 46(6), 523-529. Andrew, W., Hannuna, S., Campbell, N., Burghardt, T. (2016, September). Automatic individual holstein friesian cattle identification via selective local coat pattern matching in rgb-d imagery. In 2016 IEEE International Conference on Image Processing (ICIP) (pp. 484-488). IEEE. Andrew, W., Greatwood, C., Burghardt, T. (2017). Visual localisation and individual identification of holstein friesian cattle via deep learning. In Proceedings of the IEEE International Conference on Computer Vision Workshops (pp. 2850-2859). Armstrong, D. V. (1994). Heat stress interaction with shade and cooling. Journal of dairy science, 77(7), 2044-2050. Atkins, I. K., Cook, N. B., Mondaca, M. R., Choi, C. Y. (2018). Continuous respiration rate measurement of heat-stressed dairy cows and relation to environment, body temperature, and lying time. Transactions of the ASABE, 61(5), 1475-1485. Awad, A. I. (2016). From classical methods to animal biometrics: A review on cattle identification and tracking. Computers and Electronics in Agriculture, 123, 423-435. Bohmanova, J., Misztal, I., Cole, J. B. (2007). Temperature-humidity indices as indicators of milk production losses due to heat stress. Journal of dairy science, 90(4), 1947-1956. Bouraoui, R., Lahmar, M., Majdoub, A., Belyea, R. (2002). The relationship of temperature-humidity index with milk production of dairy cows in a Mediterranean climate. Animal Research, 51(6), 479-491. Buffington, D. E., Collazo-Arocho, A., Canton, G. H., Pitt, D., Thatcher, W. W., Collier, R. J. (1981). Black globe-humidity index (BGHI) as comfort equation for dairy cows. Transactions of the ASAE, 24(3), 711-0714. Eigenberg, R. A., Hahn, G. L., Nienaber, J. A., Brown-Brandl, T. M., Spiers, D. E. (2000). Development of a new respiration rate monitor for cattle. Transactions of the ASAE-American Society of Agricultural Engineers, 43(3), 723-728. Fang, G. W., Huang, C. Y., Yang, C. L. (2019, May). Simultaneous Detection of Multi-Target Vital Signs Using EEMD Algorithm Based on FMCW Radar. In 2019 IEEE MTT-S International Microwave Biomedical Conference (IMBioC) (Vol. 1, pp. 1-4). IEEE. Gaughan, J. B., Holt, S., Hahn, G. L., Mader, T. L., Eigenberg, R. (2000). Respiration rate: Is it a good measure of heat stress in cattle?. Asian-Australasian Journal of Animal Sciences, 13(Supplement Vol C), 329-332. Gaughan, J. B., Mader, T. L., Holt, S. M., Lisle, A. (2008). A new heat load index for feedlot cattle. Journal of Animal Science, 86(1), 226-234. Gu, C. (2016). Short-range noncontact sensors for healthcare and other emerging applications: A review. Sensors, 16(8), 1169. Kadzere, C. T., Murphy, M. R., Silanikove, N., Maltz, E. (2002). Heat stress in lactating dairy cows: a review. Livestock production science, 77(1), 59-91. Kumar, A., Kamboj, M. L., Chandra, S., Kumar, C., Singh, D., Rather, H. A. (2018). Physiological parameters of cattle and buffalo in different seasons under different housing modification systems-A review. Agricultural Reviews, 39(1), 62-68. Lee, D. H. K. (1965). Climatic stress indices for domestic animals. International journal of biometeorology, 9(1), 29-35. Li, C., Peng, Z., Huang, T. Y., Fan, T., Wang, F. K., Horng, T. S., Muñoz-Ferreras, J. M., Gómez-García, R., Ran, L., Lin, J. (2017). A review on recent progress of portable short-range noncontact microwave radar systems. IEEE Transactions on Microwave Theory and Techniques, 65(5), 1692-1706. López, S., France, J., Odongo, N. E., McBride, R. A., Kebreab, E., AlZahal, O., McBride, B.W., Dijkstra, J. (2015). On the analysis of Canadian Holstein dairy cow lactation curves using standard growth functions. Journal of Dairy Science, 98(4), 2701-2712. Milan, H. F. M., Maia, A. S. C., Gebremedhin, K. G. (2016). Device for measuring respiration rate of cattle under field conditions. Journal of animal science, 94(12), 5434-5438. Pastell, M., Aisla, A. M., Hautala, M., Poikalainen, V., Praks, J., Veermäe, I., Ahokas, J. (2006). Contactless measurement of cow behavior in a milking robot. Behavior research methods, 38(3), 479-486. Pastell, M., Kaihilahti, J., Aisla, A. M., Hautala, M., Poikalainen, V., Ahokas, J. (2007). A system for contact-free measurement of respiration rate of dairy cows. Precision livestock farming, 7, 105-109. Peng, Z., Muñoz-Ferreras, J. M., Tang, Y., Liu, C., Gómez-García, R., Ran, L., Li, C. (2016). A portable FMCW interferometry radar with programmable low-IF architecture for localization, ISAR imaging, and vital sign tracking. IEEE transactions on microwave theory and techniques, 65(4), 1334-1344. Robertson, N. (2018, January 6). Design IIR Bandpass Filters. Retrieved from https://www.dsprelated.com/showarticle/1128.php. Sandler, M., Howard, A., Zhu, M., Zhmoginov, A., Chen, L. C. (2018). Mobilenetv2: Inverted residuals and linear bottlenecks. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 4510-4520). Shen, W., Hu, H., Dai, B., Wei, X., Sun, J., Jiang, L., Sun, Y. (2019). Individual identification of dairy cows based on convolutional neural networks. Multimedia Tools and Applications, 1-14. Stanton, T. L., Jones, L. R., Everett, R. W., Kachman, S. D. (1992). Estimating milk, fat, and protein lactation curves with a test day model. Journal of dairy science, 75(6), 1691-1700. Stewart, M., Wilson, M. T., Schaefer, A. L., Huddart, F., Sutherland, M. A. (2017). The use of infrared thermography and accelerometers for remote monitoring of dairy cow health and welfare. Journal of dairy science, 100(5), 3893-3901. Texas Instruments. (2017, May 10). mmWave Vital Signs Lab. Retrieved from https://training.ti.com/mmwave-vital-signs-lab. Wang, S., Pohl, A., Jaeschke, T., Czaplik, M., Köny, M., Leonhardt, S., Pohl, N. (2015, August). A novel ultra-wideband 80 GHz FMCW radar system for contactless monitoring of vital signs. In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 4978-4981). IEEE. West, J. W., Mullinix, B. G., Bernard, J. K. (2003). Effects of hot, humid weather on milk temperature, dry matter intake, and milk yield of lactating dairy cows. Journal of Dairy Science, 86(1), 232-242. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/69439 | - |
| dc.description.abstract | 本研究之目的為利用毫米波頻率調變連續波雷達與影像建立了一個乳牛的呼吸頻率監測系統，以進行乳牛群體與個體之熱緊迫現象的偵測及分析。當乳牛遭遇熱緊迫時，會對牛隻的健康、繁殖及泌乳產生負面的影響，造成產業上重大的損失。過去的研究顯示乳牛的呼吸頻率與乳牛遭遇熱緊迫的程度具有高度相關性，而目前產業上廣泛使用溫度濕度指數作為熱緊迫程度的指標。透過乳牛的呼吸頻率，可以進一步考慮到牛隻對熱緊迫的個體差異，然而目前測量呼吸頻率的方法主要是透過人工測量，一個自動化的乳牛呼吸頻率監測系統可以節省牧場大量的勞力及時間。本研究的監測系統包含監測裝置及伺服器兩個部分，監測裝置以Raspberry Pi嵌入式開發板作為系統核心，搭配溫濕度感測器、相機及Texas Instruments IWR1443BOOST毫米波頻率調變連續波雷達感測器，裝設於榨乳室中的欄位上並對準牛隻的側腹部。雷達感測器所收集到的資料、溫濕度資訊及相機所拍攝的側腹部影像會定期透過無線網路回傳至伺服器，在伺服器上利用開發的演算法得到牛隻在榨乳欄位上的時間段及對應的呼吸頻率，並利用側腹部影像透過深度學習演算法辨識牛隻個體，進而達成個別牛隻的呼吸頻率監測。監測系統於實驗場域進行了長時間的實地測試，呼吸頻率的監測結果並與溫度濕度指數及產乳量進行群體與個體之分析。 | zh_TW |
| dc.description.abstract | This study aims to develop a noncontact respiration rate monitoring system of dairy cows using millimeter-wave frequency modulated continuous wave (FMCW) radar and images in order to monitor and analyze the heat stress of dairy cows both by group and individuals. Heat stress was found to affect health and fertility of dairy cows and cause significant reduction in milk production, resulting in great losses for the dairy industry. Based from previous studies, the respiration rate is highly correlated to the level of heat stress, of which Temperature Humidity Index (THI) is the most commonly used environmental indicator. By using the respiration rate of cows, it is possible to accommodate the individual differences under heat stress. However, respiration rate measurement of cows is usually done by observing the flank movements using human eyes, which can be labor-intensive and relative to different observers. The proposed system consists of two main part: the monitoring device and the server. The monitoring device includes a Raspberry Pi, as an embedded system for sensor interface and data transmission, a temperature and humidity sensor, a camera, and a Texas Instruments IWR1443BOOST FMCW radar sensor installed on the side of the dairy cow inside the milking parlor area. The collected data from the radar sensor, temperature and humidity sensor, and side abdomen images are transmitted to the server via Wi-Fi. The actual timestamps of the cows standing in front of the sensor and the corresponding respiration rates were determined in the server. The identities of the individual cows were also recognized using side abdomen images via deep learning method to achieve individual monitoring. The system was tested in an experimental dairy cow farm for continuous monitoring of dairy cow respiration rate, also the data were analyzed with respect to the environmental and milk yield data by both group and individuals. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-17T03:15:45Z (GMT). No. of bitstreams: 1 U0001-1808202013190000.pdf: 33657225 bytes, checksum: ce104e514186fd750bba04d94dd5bd43 (MD5) Previous issue date: 2020 | en |
| dc.description.tableofcontents | 誌謝 i 摘要 ii Abstract iii 目錄 v 圖目錄 viii 表目錄 xii 第一章 緒論 1 1.1前言 1 1.2研究目的 3 第二章 文獻探討 5 2.1泌乳牛與熱緊迫之關係 5 2.1.1溫濕度指數 5 2.1.2產乳量受熱緊迫之影響 6 2.1.3泌乳牛呼吸頻率與熱緊迫之關係 7 2.2泌乳牛呼吸頻率的監測與分析 8 2.2.1穿戴式監測系統 8 2.2.2非接觸式監測系統 10 2.3雷達應用於生命徵象之監測 12 2.4牛隻個體之身體影像辨識 15 第三章 實驗設備與方法 18 3.1實驗場域與實驗動物 18 3.1.1實驗場域 18 3.1.2實驗動物 20 3.2泌乳牛呼吸頻率監測系統 21 3.2.1系統架構 21 3.2.2毫米波頻率調變連續波雷達模組 22 3.2.3嵌入式開發板 23 3.2.4影像模組 23 3.2.5溫濕度感測模組 24 3.3頻率調變連續波雷達原理 24 3.3.1距離量測 25 3.3.2微小位移量測 28 3.4泌乳牛呼吸頻率監測演算法 28 3.4.1雷達模組嵌入程式 29 3.4.2監測裝置資料處理與收集 32 3.4.3榨乳起迄時間自動判別 33 3.4.4 呼吸頻率之計算 39 3.5牛隻個體影像辨識 40 3.5.1訓練影像收集 41 3.5.2影像辨識模型 42 3.5.3個體影像辨識之模型訓練 43 3.6牧場環境資料收集 45 第四章 結果與討論 46 4.1呼吸頻率測量演算法 46 4.1.1實驗室驗證結果 46 4.1.2實驗場域實測結果 48 4.2榨乳起迄時間自動判別 50 4.2.1隨機森林分類器之訓練與結果 50 4.2.2分類器輸出後處理之結果與分析 51 4.3牛隻個體影像辨識 53 4.3.1影像辨識模型之訓練 53 4.3.2個體影像辨識之結果 56 4.4泌乳牛呼吸頻率資料分析 58 4.4.1群體牛隻呼吸頻率結果分析 58 4.4.2個別牛隻呼吸頻率結果分析 68 第五章 結論與建議 84 5.1結論 84 5.2建議 86 參考文獻 88 附錄 93 | |
| dc.language.iso | zh-TW | |
| dc.subject | 牛隻辨識 | zh_TW |
| dc.subject | 乳牛熱緊迫 | zh_TW |
| dc.subject | 頻率調變連續波雷達 | zh_TW |
| dc.subject | 呼吸頻率 | zh_TW |
| dc.subject | 監測系統 | zh_TW |
| dc.subject | Monitoring system | en |
| dc.subject | FMCW radar | en |
| dc.subject | Respiration rate | en |
| dc.subject | Heat stress | en |
| dc.subject | Cow individual identification | en |
| dc.title | 非接觸式乳牛呼吸頻率監測系統 | zh_TW |
| dc.title | Developing a Noncontact Respiration Rate Monitoring System for Dairy Cows | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 108-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 徐濟泰(Jih-Tay Hsu),郭彥甫(Yan-Fu Kuo) | |
| dc.subject.keyword | 乳牛熱緊迫,頻率調變連續波雷達,呼吸頻率,牛隻辨識,監測系統, | zh_TW |
| dc.subject.keyword | Heat stress,FMCW radar,Respiration rate,Cow individual identification,Monitoring system, | en |
| dc.relation.page | 102 | |
| dc.identifier.doi | 10.6342/NTU202003959 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2020-08-19 | |
| dc.contributor.author-college | 生物資源暨農學院 | zh_TW |
| dc.contributor.author-dept | 生物機電工程學系 | zh_TW |
| 顯示於系所單位： | 生物機電工程學系 | |
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