- 1Department of Computer Application (CA), Institute of Technical Education and Research (ITER), Siksha ‘O’Anusandhan (SOA) Deemed to be University, Bhubaneswar (BBSR), Odisha, India
- 2Department of Computer Science and Engineering (CSE), Institute of Technical Education and Research (ITER), Siksha ‘O’Anusandhan (SOA) Deemed to be University, Bhubaneswar (BBSR), Odisha, India
- 3Department of Computing and Information Technologies, RIT Kosovo (A.U.K), Rochester Institute of Technology – RIT Global, Kosovo, Albania
- 4School of Computer Science, University of Petroleum and Energy Studies, Dehradun, India
- 5Department of Applied Data Science, Noroff University College, Kristiansand, Norway
- 6Artificial Intelligence Research Center (AIRC), Ajman University, Ajman, United Arab Emirates
- 7Department of Electrical and Computer Engineering, Lebanese American University, Byblos, Lebanon
- 8MEU Research Unit, Middle East University, Amman, Jordan
- 9Department of ICT Convergence, Soonchunhyang University, Asan, Republic of Korea
Citation: Singh D, Biswal AK, Samanta D, Singh V, Kadry S, Khan A and Nam Y (2023) Smart high-yield tomato cultivation: precision irrigation system using the Internet of Things. Front. Plant Sci. 14:1239594. doi: 10.3389/fpls.2023.1239594
Received: 13 June 2023; Accepted: 25 July 2023;
Published: 22 August 2023; Retracted: 28 October 2025.
Edited by:
Muhammad Fazal Ijaz, Sejong University, Republic of KoreaReviewed by:
Parvathaneni Naga Srinivasu, Prasad V. Potluri Siddhartha Institute of Technology, IndiaZari Farhadi, University of Tabriz, Iran
Debaleena Datta, University of Engineering and Management, India
Debabrata Singh1