{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T09:22:21Z","timestamp":1754558541255,"version":"3.41.0"},"publisher-location":"Cham","reference-count":32,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031737152"},{"type":"electronic","value":"9783031737169"}],"license":[{"start":{"date-parts":[[2024,12,14]],"date-time":"2024-12-14T00:00:00Z","timestamp":1734134400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,12,14]],"date-time":"2024-12-14T00:00:00Z","timestamp":1734134400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-73716-9_30","type":"book-chapter","created":{"date-parts":[[2024,12,13]],"date-time":"2024-12-13T06:18:20Z","timestamp":1734070700000},"page":"427-438","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["FLOTO: Beyond Bandwidth - A Framework for Adaptable, Multi-sensor Data Collection in\u00a0Scientific Research"],"prefix":"10.1007","author":[{"given":"Alicia Esquivel","family":"Morel","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mark","family":"Powers","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kate","family":"Keahey","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zack","family":"Murry","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tomas Javier","family":"Sitzmann","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianfeng","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Prasad","family":"Calyam","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,12,14]]},"reference":[{"issue":"1","key":"30_CR1","doi-asserted-by":"publisher","first-page":"70","DOI":"10.3390\/agriengineering4010006","volume":"4","author":"EA Abioye","year":"2022","unstructured":"Abioye, E.A., et al.: Precision irrigation management using machine learning and digital farming solutions. AgriEngineering 4(1), 70\u2013103 (2022)","journal-title":"AgriEngineering"},{"issue":"2","key":"30_CR2","doi-asserted-by":"publisher","first-page":"397","DOI":"10.3390\/agriculture13020397","volume":"13","author":"A Ali","year":"2023","unstructured":"Ali, A., Hussain, T., Tantashutikun, N., Hussain, N., Cocetta, G.: Application of smart techniques, Internet of Things and data mining for resource use efficient and sustainable crop production. Agriculture 13(2), 397 (2023)","journal-title":"Agriculture"},{"key":"30_CR3","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1007\/978-1-4842-6888-9_6","volume-title":"Monitoring Cloud-Native Applications","author":"M Chakraborty","year":"2021","unstructured":"Chakraborty, M., Kundan, A.P.: Grafana. In: Chakraborty, M., Kundan, A.P. (eds.) Monitoring Cloud-Native Applications, pp. 187\u2013240. Apress, Berkeley (2021). https:\/\/doi.org\/10.1007\/978-1-4842-6888-9_6"},{"unstructured":"Chameleon: Chameleon. https:\/\/www.chameleoncloud.org\/. Accessed 07 Mar 2024","key":"30_CR4"},{"key":"30_CR5","doi-asserted-by":"publisher","DOI":"10.1016\/j.iot.2019.100142","volume":"9","author":"I Charania","year":"2020","unstructured":"Charania, I., Li, X.: Smart farming: agriculture\u2019s shift from a labor intensive to technology native industry. Internet of Things 9, 100142 (2020)","journal-title":"Internet of Things"},{"issue":"1","key":"30_CR6","doi-asserted-by":"publisher","first-page":"140","DOI":"10.5121\/ijwmn.2011.3113","volume":"3","author":"D Chaudhary","year":"2011","unstructured":"Chaudhary, D., Nayse, S., Waghmare, L.: Application of wireless sensor networks for greenhouse parameter control in precision agriculture. Int. J. Wirel. Mob. Netw. (IJWMN) 3(1), 140\u2013149 (2011)","journal-title":"Int. J. Wirel. Mob. Netw. (IJWMN)"},{"unstructured":"Edge, A.I.: Build the intelligent edge. https:\/\/azure.microsoft.com\/en-us\/products\/iot-edge. Accessed 13 Jan 2024","key":"30_CR7"},{"unstructured":"FLOTO: Floto. https:\/\/floto.cs.uchicago.edu\/. Accessed 14 Feb 2024","key":"30_CR8"},{"unstructured":"FLOTO: Floto. https:\/\/github.com\/UChicago-FLOTO\/data_uploader. Accessed 14 Feb 2024","key":"30_CR9"},{"unstructured":"FLOTO: Floto application. https:\/\/floto.cs.uchicago.edu\/applications\/. Accessed 07 Mar 2024","key":"30_CR10"},{"unstructured":"FLOTO: Floto dashboard. https:\/\/portal.floto.science\/dashboard\/. Accessed 14 Feb 2024","key":"30_CR11"},{"issue":"10","key":"30_CR12","doi-asserted-by":"publisher","first-page":"1674","DOI":"10.3390\/sym12101674","volume":"12","author":"R Hassan","year":"2020","unstructured":"Hassan, R., Qamar, F., Hasan, M.K., Aman, A.H.M., Ahmed, A.S.: Internet of things and its applications: a comprehensive survey. Symmetry 12(10), 1674 (2020)","journal-title":"Symmetry"},{"unstructured":"IoT, A.: Build intelligent IoT devices faster. https:\/\/aws.amazon.com\/greengrass\/. Accessed 13 Jan 2024","key":"30_CR13"},{"issue":"21","key":"30_CR14","doi-asserted-by":"publisher","first-page":"6230","DOI":"10.3390\/s20216230","volume":"20","author":"JC Jiang","year":"2020","unstructured":"Jiang, J.C., Kantarci, B., Oktug, S., Soyata, T.: Federated learning in smart city sensing: challenges and opportunities. Sensors 20(21), 6230 (2020)","journal-title":"Sensors"},{"doi-asserted-by":"crossref","unstructured":"Keahey, K., Anderson, J., Powers, M., Cooper, A.: Three pillars of practical reproducibility. In: 2023 IEEE 19th International Conference on e-Science (e-Science), pp.\u00a01\u20136. IEEE (2023)","key":"30_CR15","DOI":"10.1109\/e-Science58273.2023.10254846"},{"unstructured":"Keahey, K., et al.: Chameleon@ edge community workshop report (2021)","key":"30_CR16"},{"unstructured":"Keahey, K., et al.: Lessons learned from the chameleon testbed. In: Proceedings of the 2020 USENIX Annual Technical Conference (USENIX ATC 2020). USENIX Association (2020)","key":"30_CR17"},{"doi-asserted-by":"crossref","unstructured":"Keahey, K., et al.: Discovery testbed: an observational instrument for broadband research. In: 2023 IEEE 19th International Conference on e-Science (e-Science), pp.\u00a01\u20134. IEEE (2023)","key":"30_CR18","DOI":"10.1109\/e-Science58273.2023.10254876"},{"doi-asserted-by":"crossref","unstructured":"Keahey, K., et al.: Chameleon: a scalable production testbed for computer science research. In: Contemporary High Performance Computing, pp. 123\u2013148. CRC Press (2019)","key":"30_CR19","DOI":"10.1201\/9781351036863-5"},{"doi-asserted-by":"crossref","unstructured":"Kopetz, H., Steiner, W.: Internet of things. In: Real-Time Systems: Design Principles for Distributed Embedded Applications, pp. 325\u2013341. Springer, Cham (2022)","key":"30_CR20","DOI":"10.1007\/978-3-031-11992-7_13"},{"unstructured":"OpenBalena: Open source software to manage connected IoT devices at scale. https:\/\/www.balena.io\/open. Accessed 13 Jan 2024","key":"30_CR21"},{"key":"30_CR22","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1016\/j.inffus.2021.11.006","volume":"80","author":"S Qiu","year":"2022","unstructured":"Qiu, S., et al.: Multi-sensor information fusion based on machine learning for real applications in human activity recognition: state-of-the-art and research challenges. Inf. Fusion 80, 241\u2013265 (2022)","journal-title":"Inf. Fusion"},{"issue":"3","key":"30_CR23","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1109\/JRFID.2020.2984391","volume":"4","author":"R Rayhana","year":"2020","unstructured":"Rayhana, R., Xiao, G., Liu, Z.: Internet of Things empowered smart greenhouse farming. IEEE J. Radio Frequency Identification 4(3), 195\u2013211 (2020)","journal-title":"IEEE J. Radio Frequency Identification"},{"doi-asserted-by":"crossref","unstructured":"Ru, C., Hu, X., Wang, W., Ran, H., Song, T., Guo, Y.: Evaluation of the crop water stress index as an indicator for the diagnosis of grapevine water deficiency in greenhouses. Horticulturae 6(4), 86","key":"30_CR24","DOI":"10.3390\/horticulturae6040086"},{"issue":"1","key":"30_CR25","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1016\/j.aspen.2019.11.006","volume":"23","author":"DJA Rustia","year":"2020","unstructured":"Rustia, D.J.A., Lin, C.E., Chung, J.Y., Zhuang, Y.J., Hsu, J.C., Lin, T.T.: Application of an image and environmental sensor network for automated greenhouse insect pest monitoring. J. Asia-Pacific Entomol. 23(1), 17\u201328 (2020)","journal-title":"J. Asia-Pacific Entomol."},{"doi-asserted-by":"crossref","unstructured":"Sitzmann, T.J., Sica, P., Grignani, C., Magid, J.: Testing biowaste materials as peat replacement in organo-mineral fertilizers. Front. Sustain. Food Syst. 8, 1330843","key":"30_CR26","DOI":"10.3389\/fsufs.2024.1330843"},{"unstructured":"Sundaresan, S., Burnett, S., Feamster, N., De\u00a0Donato, W.: $$\\{$$BISmark$$\\}$$: a testbed for deploying measurements and applications in broadband access networks. In: 2014 USENIX Annual Technical Conference (USENIX ATC 2014), pp. 383\u2013394 (2014)","key":"30_CR27"},{"doi-asserted-by":"crossref","unstructured":"Vermesan, O., et al.: Internet of Things strategic research and innovation agenda. In: Internet of Things, pp. 7\u2013151. River Publishers (2022)","key":"30_CR28","DOI":"10.1201\/9781003338659-2"},{"key":"30_CR29","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2019.104943","volume":"165","author":"J Zhang","year":"2019","unstructured":"Zhang, J., et al.: Monitoring plant diseases and pests through remote sensing technology: a review. Comput. Electron. Agric. 165, 104943 (2019)","journal-title":"Comput. Electron. Agric."},{"key":"30_CR30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-73734-4","volume-title":"High-Throughput Crop Phenotyping","author":"J Zhou","year":"2021","unstructured":"Zhou, J., Nguyen, H.T.: High-Throughput Crop Phenotyping. Springer, Cham (2021)"},{"key":"30_CR31","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2021.106001","volume":"182","author":"S Zhou","year":"2021","unstructured":"Zhou, S., Mou, H., Zhou, J., Zhou, J., Ye, H., Nguyen, H.T.: Development of an automated plant phenotyping system for evaluation of salt tolerance in soybean. Comput. Electron. Agric. 182, 106001 (2021)","journal-title":"Comput. Electron. Agric."},{"issue":"1","key":"30_CR32","doi-asserted-by":"publisher","first-page":"13","DOI":"10.3390\/computers11010013","volume":"11","author":"I Zualkernan","year":"2022","unstructured":"Zualkernan, I., Dhou, S., Judas, J., Sajun, A.R., Gomez, B.R., Hussain, L.A.: An IoT system using deep learning to classify camera trap images on the edge. Computers 11(1), 13 (2022)","journal-title":"Computers"}],"container-title":["Lecture Notes in Computer Science","High Performance Computing. ISC High Performance 2024 International Workshops"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-73716-9_30","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,14]],"date-time":"2025-06-14T05:19:44Z","timestamp":1749878384000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-73716-9_30"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,14]]},"ISBN":["9783031737152","9783031737169"],"references-count":32,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-73716-9_30","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024,12,14]]},"assertion":[{"value":"14 December 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ISC High Performance","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on High Performance Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hamburg","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Germany","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 May 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 June 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"supercomputing2023a","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}