{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,10]],"date-time":"2026-01-10T07:53:20Z","timestamp":1768031600663,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":22,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,11,16]]},"DOI":"10.1145\/3731599.3767384","type":"proceedings-article","created":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T16:18:44Z","timestamp":1762532324000},"page":"424-432","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["From Soil to Software: Experience from a STEM Workshop on Smart Plant Care and Teachable Machines"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-9059-7773","authenticated-orcid":false,"given":"Anita","family":"Esmaeilian","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering and Computer Science, University of Toledo, Toledo, Ohio, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6295-3569","authenticated-orcid":false,"given":"Kishwar","family":"Ahmed","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering and Computer Science, University of Toledo, Toledo, Ohio, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,11,15]]},"reference":[{"key":"e_1_3_3_2_2_2","doi-asserted-by":"crossref","unstructured":"S.\u00a0Cakic T.\u00a0Popovic S.\u00a0Krco D.\u00a0Nedic D.\u00a0Babic and I.\u00a0Jovovic \u201cDeveloping edge AI computer vision for smart poultry farms using deep learning and HPC \u201d Sensors vol.\u00a023 no.\u00a06 article\u00a03002 2023. doi: 10.3390\/s23063002. [Online]. Available: https:\/\/www.mdpi.com\/1424-8220\/23\/6\/3002","DOI":"10.3390\/s23063002"},{"key":"e_1_3_3_2_3_2","doi-asserted-by":"crossref","unstructured":"O.\u00a0Almurshed P.\u00a0Patros V.\u00a0Huang M.\u00a0Mayo M.\u00a0Ooi R.\u00a0Chard K.\u00a0Chard O.\u00a0Rana H.\u00a0Nagra M.\u00a0Baughman and I.\u00a0Foster \u201cAdaptive edge-cloud environments for rural AI \u201d in Proc. 2022 IEEE Int. Conf. Services Comput. (SCC) 2022 pp. 74\u201383. doi: 10.1109\/SCC55611.2022.00023.","DOI":"10.1109\/SCC55611.2022.00023"},{"key":"e_1_3_3_2_4_2","doi-asserted-by":"crossref","unstructured":"H.\u00a0Devaraj S.\u00a0Sohail M.\u00a0Ooi B.\u00a0Li N.\u00a0Hudson M.\u00a0Baughman K.\u00a0Chard R.\u00a0Chard E.\u00a0Casella I.\u00a0Foster and O.\u00a0Rana \u201cRuralAI in tomato farming: Integrated sensor system distributed computing and hierarchical federated learning for crop health monitoring \u201d IEEE Sensors Lett. vol.\u00a08 no.\u00a05 pp.\u00a01\u20134 Apr. 2024. doi: 10.1109\/lsens.2024.3384935.","DOI":"10.1109\/LSENS.2024.3384935"},{"key":"e_1_3_3_2_5_2","doi-asserted-by":"crossref","unstructured":"K.\u00a0Chicaiza R.\u00a0X.\u00a0Paredes I.\u00a0M.\u00a0Sarzosa S.\u00a0G.\u00a0Yoo and N.\u00a0Zang \u201cSmart farming technologies: A methodological overview and analysis \u201d IEEE Access vol.\u00a012 pp.\u00a0164922\u2013164941 2024. doi: 10.1109\/ACCESS.2024.3487497.","DOI":"10.1109\/ACCESS.2024.3487497"},{"key":"e_1_3_3_2_6_2","doi-asserted-by":"crossref","unstructured":"T.\u00a0Pavlenko D.\u00a0Argyropoulos M.\u00a0Arnoult T.\u00a0Engel Y.\u00a0Gadanakis H.\u00a0W.\u00a0Griepentrog J.\u00a0Kambuta T.\u00a0Latherow A.\u00a0J.\u00a0Murdoch R.\u00a0Tranter and D.\u00a0S.\u00a0Paraforos \u201cStimulating awareness of precision farming through gamification: The Farming Simulator case \u201d Smart Agric. Technol. vol.\u00a09 p.\u00a0100529 2024. doi: 10.1016\/j.atech.2024.100529. [Online]. Available: https:\/\/www.sciencedirect.com\/science\/article\/pii\/S2772375524001345","DOI":"10.1016\/j.atech.2024.100529"},{"key":"e_1_3_3_2_7_2","doi-asserted-by":"crossref","unstructured":"H.-T.\u00a0Wu and K.-C.\u00a0Tseng \u201cSmart farm teaching aids based on STEM concepts \u201d in Bio-inspired Information and Communications Technologies Cham: Springer Nature Switzerland 2023 pp.\u00a011\u201321. doi: 10.1007\/978-3-031-43135-7_2.","DOI":"10.1007\/978-3-031-43135-7_2"},{"key":"e_1_3_3_2_8_2","unstructured":"M.\u00a0Mitra A.\u00a0Nagchaudhuri and J.\u00a0R.\u00a0Pandya \u201cInclusive experiential learning for STEM students in sustainable robotic agriculture \u201d in Proc. 2024 ASEE Annu. Conf. & Expo. Portland OR Jun. 2024. [Online]. Available: https:\/\/peer.asee.org\/47600. doi: 10.18260\/1-2\u201347600."},{"key":"e_1_3_3_2_9_2","doi-asserted-by":"crossref","unstructured":"L.\u00a0Waltz S.\u00a0Katari C.\u00a0Hong A.\u00a0Anup J.\u00a0Colbert A.\u00a0Potlapally T.\u00a0Dill C.\u00a0Porter J.\u00a0Engle C.\u00a0Stewart H.\u00a0Subramoni S.\u00a0Shearer R.\u00a0Machiraju O.\u00a0Ortez L.\u00a0Lindsey A.\u00a0Nandi and S.\u00a0Khanal \u201cCyberinfrastructure for machine learning applications in agriculture: experiences analysis and vision \u201d Front. Artif. Intell. vol.\u00a07 p.\u00a01496066 Jan. 2025. doi: 10.3389\/frai.2024.1496066.","DOI":"10.3389\/frai.2024.1496066"},{"key":"e_1_3_3_2_10_2","unstructured":"Google \u201cTeachable Machine \u201d Google Creative Lab [Online]. Available: https:\/\/teachablemachine.withgoogle.com\/. Accessed: Jul. 30 2025."},{"key":"e_1_3_3_2_11_2","unstructured":"D. P. Hughes and M. Salath\u00e9 \u201cAn open access repository of images on plant health to enable the development of mobile disease diagnostics \u201d arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/1511.08060 [Online]. Available: https:\/\/plantvillage.psu.edu\/."},{"key":"e_1_3_3_2_12_2","unstructured":"University of Toledo \u201cToledo Excel Program \u201d [Online]. Available: https:\/\/www.utoledo.edu\/success\/excel\/. Accessed: Aug. 5 2024."},{"key":"e_1_3_3_2_13_2","doi-asserted-by":"crossref","unstructured":"D. S. Touretzky C. Gardner-McCune F. Martin and D. Seehorn \u201cEnvisioning AI for K-12: What Should Every Child Know about AI? \u201d in Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19) 2020. [Online]. Available: https:\/\/ojs.aaai.org\/index.php\/AAAI\/article\/view\/5053","DOI":"10.1609\/aaai.v33i01.33019795"},{"key":"e_1_3_3_2_14_2","doi-asserted-by":"publisher","unstructured":"L. Casal-Otero A. Catala C. Fern\u00e1ndez-Morante M. Taboada B. Cebreiro and S. Barro \u201cAI literacy in K-12: a systematic literature review \u201d [Online]. Available: 10.1186\/s40594-023-00418-7","DOI":"10.1186\/s40594-023-00418-7"},{"key":"e_1_3_3_2_15_2","doi-asserted-by":"publisher","unstructured":"D. Touretzky C. Gardner-McCune C. Breazeal F. Martin and D. Seehorn \u201cA year in k-12 AI education \u201d AI Magazine vol. 40 no. 4 pp. 88\u201390 2019. [Online]. Available: 10.1609\/aimag.v40i4.5289","DOI":"10.1609\/aimag.v40i4.5289"},{"key":"e_1_3_3_2_16_2","doi-asserted-by":"publisher","unstructured":"H. Vartiainen T. Toivonen I. Jormanainen J. Kahila M. Tedre and T. Valtonen \u201cMachine learning for middle schoolers: Learning through data-driven design \u201d International Journal of Child-Computer Interaction vol. 29 pp. 1\u201312 2021. [Online]. Available: 10.1016\/j.ijcci.2021.100281","DOI":"10.1016\/j.ijcci.2021.100281"},{"key":"e_1_3_3_2_17_2","doi-asserted-by":"publisher","unstructured":"S. Chittora and A. Baynes \u201cInteractive visualizations to introduce data science for high school students \u201d in Proceedings of the 21st Annual Conference on Information Technology Education 2020 pp. 236\u2013241. [Online]. Available: 10.1145\/3368308.3415360","DOI":"10.1145\/3368308.3415360"},{"key":"e_1_3_3_2_18_2","doi-asserted-by":"publisher","unstructured":"C. G. von Wangenheim J. C. Hauck F. S. Pacheco and M. F. B. Bueno \u201cVisual tools for teaching machine learning in K-12: A ten-year systematic mapping \u201d Education and Information Technologies vol. 26 no. 5 pp. 5733\u20135778 2021. [Online]. Available: 10.1007\/s10639-021-10570-8","DOI":"10.1007\/s10639-021-10570-8"},{"key":"e_1_3_3_2_19_2","doi-asserted-by":"publisher","unstructured":"T. Narahara and Y. Kobayashi \u201cPersonalizing homemade bots with plug & play AI for steam education \u201d in SIGGRAPH Asia 2018 Technical Briefs 2018 pp. 1\u20134. [Online]. Available: 10.1145\/3283254.3283270","DOI":"10.1145\/3283254.3283270"},{"key":"e_1_3_3_2_20_2","doi-asserted-by":"publisher","unstructured":"M. Giannakos I. Voulgari S. Papavlasopoulou Z. Papamitsiou and G. Yannakakis \u201cGames for artificial intelligence and machine learning education: Review and perspectives \u201d in Lecture Notes in Educational Technology 2020. [Online]. Available: 10.1007\/978-981-15-6747-6_7","DOI":"10.1007\/978-981-15-6747-6_7"},{"key":"e_1_3_3_2_21_2","doi-asserted-by":"publisher","unstructured":"I. Lee S. Ali H. Zhang D. Dipaola and C. Breazeal \u201cDeveloping middle school students\u2019 AI literacy \u201d in Proceedings of the Association for Computing Machinery Inc. 2021 pp. 191\u2013197. [Online]. Available: 10.1145\/3408877.3432513","DOI":"10.1145\/3408877.3432513"},{"key":"e_1_3_3_2_22_2","doi-asserted-by":"publisher","unstructured":"Long D. & Magerko B. (2020). What is AI literacy? Competencies and design considerations. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (pp. 1\u201316). ACM. 10.1145\/3313831.3376727","DOI":"10.1145\/3313831.3376727"},{"key":"e_1_3_3_2_23_2","unstructured":"Miao F. Holmes W. Huang R. & Zhang H. (2021). AI and education: A guidance for policymakers. UNESCO Publishing. https:\/\/unesdoc.unesco.org\/ark:\/48223\/pf0000376709"}],"event":{"name":"SC Workshops '25: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis","location":"St Louis MO USA","acronym":"SC Workshops '25","sponsor":["SIGHPC ACM Special Interest Group on High Performance Computing, Special Interest Group on High Performance Computing"]},"container-title":["Proceedings of the SC '25 Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3731599.3767384","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T19:35:13Z","timestamp":1767987313000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3731599.3767384"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,15]]},"references-count":22,"alternative-id":["10.1145\/3731599.3767384","10.1145\/3731599"],"URL":"https:\/\/doi.org\/10.1145\/3731599.3767384","relation":{},"subject":[],"published":{"date-parts":[[2025,11,15]]},"assertion":[{"value":"2025-11-15","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}