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The integration of these technologies helps in multiple aspects such as IoT sensors help in real-time data monitoring which includes parameters such as soil conditions, meteorological aspects\u201ethe valuable insights about overall crop health, and also help in promoting informed decision-making in agriculture. Cognitive systems of Industry 5.0, revolutionize manufacturing processes, enabling predictive maintenance, real-time data analyses, and autonomous decision-making for increased production efficiency. Implementing digital twin technology further boosts this transformation process by creating dynamic representations of agricultural systems. Digital twins simplify complex interactions for farmers by integrating data obtained from diverse sources. This paper explores the relationship between Industry 5.0, smart farming practices, implementation of the latest techniques like IoT, and digital twins, understanding their impact on precision agriculture, sustainable farming, and efficiency. In conclusion, this study demonstrates how Industry 5.0 technologies, including digital twin technology, possess the potential to revolutionize agricultural operations, enhance crop yields, foster sustainability, and prepare agriculture for the challenges of a rapidly changing global environment.<\/jats:p>","DOI":"10.3233\/jhs-230258","type":"journal-article","created":{"date-parts":[[2024,5,17]],"date-time":"2024-05-17T13:36:00Z","timestamp":1715952960000},"page":"477-496","source":"Crossref","is-referenced-by-count":29,"title":["IoT-enabled smart farming with Industry 5.0"],"prefix":"10.1177","volume":"30","author":[{"given":"Aishita","family":"Sharma","sequence":"first","affiliation":[{"name":"Chandigarh College of Engineering and Technology, Chandigarh, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sunil K.","family":"Singh","sequence":"additional","affiliation":[{"name":"Chandigarh College of Engineering and Technology, Chandigarh, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sudhakar","family":"Kumar","sequence":"additional","affiliation":[{"name":"Chandigarh College of Engineering and Technology, Chandigarh, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ruchika","family":"Thakur","sequence":"additional","affiliation":[{"name":"Chandigarh College of Engineering and Technology, Chandigarh, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Brij B.","family":"Gupta","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Information Engineering, Asia University, Taichung 413, Taiwan"},{"name":"Symbiosis Centre for Information Technology (SCIT), Symbiosis International University, Pune, India"},{"name":"Center for Interdisciplinary Research, University of Petroleum and Energy Studies (UPES), Dehradun, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Varsha","family":"Arya","sequence":"additional","affiliation":[{"name":"Department of Business Administration, Asia University, Taiwan"},{"name":"Department of Electrical and Computer Engineering, Lebanese American University, Beirut, 1102, Lebanon"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","reference":[{"key":"10.3233\/JHS-230258_ref1","doi-asserted-by":"crossref","unstructured":"K.\u00a0Aggarwal, S.K.\u00a0Singh, M.\u00a0Chopra, S.\u00a0Kumar and F.\u00a0Colace, Deep learning in robotics for strengthening industry 5.0.: Opportunities, challenges and future directions, in: Robotics and AI for Cybersecurity and Critical Infrastructure in Smart Cities, 2022, pp.\u00a01\u201319.","DOI":"10.1007\/978-3-030-96737-6_1"},{"key":"10.3233\/JHS-230258_ref2","doi-asserted-by":"publisher","first-page":"5695","DOI":"10.1007\/s00500-019-04220-y","article-title":"IoT transaction processing through cooperative concurrency control on fog\u2013cloud computing environment","volume":"24","author":"Al-Qerem","year":"2020","journal-title":"Soft Computing"},{"key":"10.3233\/JHS-230258_ref3","doi-asserted-by":"crossref","unstructured":"R.G.\u00a0Alves, G.\u00a0Souza, R.F.\u00a0Maia, A.L.H.\u00a0Tran, C.\u00a0Kamienski, J.P.\u00a0Soininen et al., A digital twin for smart farming, in: 2019 IEEE Global Humanitarian Technology Conference (GHTC), IEEE, 2019, pp.\u00a01\u20134.","DOI":"10.1109\/GHTC46095.2019.9033075"},{"issue":"6","key":"10.3233\/JHS-230258_ref4","doi-asserted-by":"publisher","first-page":"838","DOI":"10.3390\/agriculture12060838","article-title":"A platform approach to smart farm information processing","volume":"12","author":"Amiri-Zarandi","year":"2022","journal-title":"Agriculture"},{"issue":"4","key":"10.3233\/JHS-230258_ref5","first-page":"77","article-title":"AgriLoRa: A digital twin framework for smart agriculture","volume":"11","author":"Angin","year":"2020","journal-title":"J. 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