Smart high-yield tomato cultivation: precision irrigation system using the Internet of Things

Debabrata Singh; Anil Kumar Biswal; Debabrata Samanta; Vijendra Singh; Seifedine Kadry; Awais Khan; Yunyoung Nam

doi:10.3389/fpls.2023.1239594

Smart high-yield tomato cultivation: precision irrigation system using the Internet of Things

Front Plant Sci. 2023 Aug 22:14:1239594. doi: 10.3389/fpls.2023.1239594. eCollection 2023.

Authors

Debabrata Singh¹, Anil Kumar Biswal², Debabrata Samanta³, Vijendra Singh⁴, Seifedine Kadry^{5

6

7

8}, Awais Khan⁹, Yunyoung Nam⁹

Affiliations

¹ Department of Computer Application (CA), Institute of Technical Education and Research (ITER), Siksha 'O'Anusandhan (SOA) Deemed to be University, Bhubaneswar (BBSR), Odisha, India.
² Department 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.
³ Department of Computing and Information Technologies, RIT Kosovo (A.U.K), Rochester Institute of Technology - RIT Global, Kosovo, Albania.
⁴ School of Computer Science, University of Petroleum and Energy Studies, Dehradun, India.
⁵ Department of Applied Data Science, Noroff University College, Kristiansand, Norway.
⁶ Artificial Intelligence Research Center (AIRC), Ajman University, Ajman, United Arab Emirates.
⁷ Department of Electrical and Computer Engineering, Lebanese American University, Byblos, Lebanon.
⁸ MEU Research Unit, Middle East University, Amman, Jordan.
⁹ Department of ICT Convergence, Soonchunhyang University, Asan, Republic of Korea.

Abstract

The Internet of Things (IOT)-based smart farming promises ultrafast speeds and near real-time response. Precision farming enabled by the Internet of Things has the potential to boost efficiency and output while reducing water use. Therefore, IoT devices can aid farmers in keeping track crop health and development while also automating a variety of tasks (such as moisture level prediction, irrigation system, crop development, and nutrient levels). The IoT-based autonomous irrigation technique makes exact use of farmers' time, money, and power. High crop yields can be achieved through consistent monitoring and sensing of crops utilizing a variety of IoT sensors to inform farmers of optimal harvest times. In this paper, a smart framework for growing tomatoes is developed, with influence from IoT devices or modules. With the help of IoT modules, we can forecast soil moisture levels and fine-tune the watering schedule. To further aid farmers, a smartphone app is currently in development that will provide them with crucial data on the health of their tomato crops. Large-scale experiments validate the proposed model's ability to intelligently monitor the irrigation system, which contributes to higher tomato yields.

Keywords: Internet of Things (IoT); advanced network; crop water requirement; ml; smart agriculture.

Grants and funding

This research was supported by the MSIT(Ministry of Science and ICT), Korea, under the ICAN(ICT Challenge and Advanced Network of HRD) program(IITP- 2023-2020-0-01832) supervised by the IITP(Institute of Information & Communications Technology Planning & Evaluation) and the Soonchunhyang University Research Fund.