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Role of Secure Image Transmission in Agricultural Health Monitoring
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Author(s): Daneshwari A. Noola (Department of Information Science, BLDEA's VP Dr. PG Halakatti College of Engineering and Technology, India), Chinnem Rama Mohan (Department of Computer Science and Engineering, Narayana Engineering College, Nellore, India), Shailendra M. Pardeshi (RC Patel Institute of Technology, Shirpur, India), Krishna Murthy Inumula (Symbiosis International University, Pune, India), P. Asha (Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai, India)and Bhawna Janghel Rajput (Department of Computer Science and Engineering, Rungta College of Engineering and Technology, Bhilai, India)
Copyright: 2025
Pages: 24
Source title:
Advanced Secure Transmission of Telemedicine-Based Bio-Medical Images
Source Author(s)/Editor(s): Binay Kumar Pandey (Department of Information Technology, College of Technology, Govind Ballabh Pant University of Agriculture and Technology, India), A. Shaji George (TSM, Almarai Company, Saudi Arabia), Sameer Tiwari (George Mason University, USA), Salah A. Albermany (Kufa University, Iraq)and Ho Sy Hung (Hong Duc University, Vietnam)
DOI: 10.4018/979-8-3693-9821-0.ch004
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Abstract
Digital technology adoption for health monitoring has become essential in the quickly changing agricultural landscape. In order to protect sensitive data that is gathered from a variety of sources, including drones, sensors, and satellites, this chapter examines the crucial role that secure image transmission plays in agricultural health monitoring. In order to preserve data integrity and guarantee that agricultural stakeholders receive timely and accurate information for efficient decision-making, secure transmission techniques such as encryption and end-to-end protocols are crucial. This chapter outlines the many advantages of secure image transmission, such as improved data integrity, prompt decision-making, heightened stakeholder trust, and defense against cyberattacks. Strong security measures are also required for compliance with data privacy regulations and efficient resource management as agricultural data becomes more digitalized.
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