{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,12,30]],"date-time":"2024-12-30T19:16:34Z","timestamp":1735586194598},"reference-count":29,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2023,10,22]],"date-time":"2023-10-22T00:00:00Z","timestamp":1697932800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Trans Emerging Tel Tech"],"published-print":{"date-parts":[[2024,4]]},"abstract":"Abstract<\/jats:title>Solid waste management is a significant challenge in the development of smart cities. Existing approaches for solid waste monitoring are often time\u2010consuming and resource intensive. Therefore, this study proposes a novel approach to solid waste monitoring that utilizes drone technology. The proposed method enables the efficient identification and classification of waste objects in the garbage discovered by the drone. This system can inspect every part of a smart city from a remote location, allowing for the timely and effective management of solid waste. Thus, the proposed system can be easily integrated in the existing waste management system for smart city. The drone\u2010based solid waste monitoring system comprises a drone equipped with a computer vision model for resource\u2010constrained devices and a software application that operates the drone and analyzes the captured image or video. The system utilizes the Internet of Things (IoT) to upload the collected data to the cloud, making it easily accessible whenever necessary. The proposed drone\u2010based solid waste monitoring system is a promising solution for the efficient and cost\u2010effective management of solid waste in smart cities. The system's innovative use of drone technology and IoT provides a scalable and adaptable solution that can be customized to meet the needs of any city.<\/jats:p>","DOI":"10.1002\/ett.4878","type":"journal-article","created":{"date-parts":[[2023,10,23]],"date-time":"2023-10-23T04:39:16Z","timestamp":1698035956000},"update-policy":"http:\/\/dx.doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Efficient solid waste inspection through drone\u2010based aerial imagery and TinyML<\/scp> vision model"],"prefix":"10.1002","volume":"35","author":[{"given":"Timothy","family":"Malche","sequence":"first","affiliation":[{"name":"Manipal University Jaipur Jaipur India"}]},{"given":"Priti","family":"Maheshwary","sequence":"additional","affiliation":[{"name":"Rabindranath Tagore University Raisen India"}]},{"given":"Pradeep Kumar","family":"Tiwari","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Applications Dr. Vishwanath Karad MIT World Peace University Pune India"}]},{"given":"Ahmed Hussein","family":"Alkhayyat","sequence":"additional","affiliation":[{"name":"Scientific Research Centre of the Islamic University The Islamic University Najaf Iraq"}]},{"given":"Abhinav","family":"Bansal","sequence":"additional","affiliation":[{"name":"Department of ECE Raj Kumar Goel Institute of Technology Ghaziabad Uttar Pradesh India"}]},{"given":"Raghvendra","family":"Kumar","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering GIET University Gunupur India"}]}],"member":"311","published-online":{"date-parts":[[2023,10,22]]},"reference":[{"key":"e_1_2_7_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2014.2337336"},{"issue":"1","key":"e_1_2_7_3_1","first-page":"1","article-title":"Towards a smart city based on cloud of things, a survey on the smart city vision and paradigms","volume":"28","author":"Petrolo R","year":"2015","journal-title":"Trans Emerg Telecommun Technol"},{"key":"e_1_2_7_4_1","doi-asserted-by":"publisher","DOI":"10.3390\/sym14050960"},{"key":"e_1_2_7_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-16-8664-1_27"},{"key":"e_1_2_7_6_1","doi-asserted-by":"publisher","DOI":"10.3390\/rs13050965"},{"key":"e_1_2_7_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/ZINC52049.2021.9499291"},{"key":"e_1_2_7_8_1","doi-asserted-by":"publisher","DOI":"10.3390\/rs12091515"},{"key":"e_1_2_7_9_1","doi-asserted-by":"crossref","unstructured":"HanW LuoW JinY ZhuM.A deep learning model for automatic plastic waste monitoring using unmanned aerial vehicle (UAV) data. 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