Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.6K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.6K
Key Elements for Plant Nutrition02:35

Key Elements for Plant Nutrition

18.7K
Like all living organisms, plants require organic and inorganic nutrients to survive, reproduce, grow and maintain homeostasis. To identify nutrients that are essential for plant functioning, researchers have leveraged a technique called hydroponics. In hydroponic culture systems, plants are grown—without soil—in water-based solutions containing nutrients. At least 17 nutrients have been identified as essential elements required by plants. Plants acquire these elements from the...
18.7K
Nursing Clinical Information System01:27

Nursing Clinical Information System

765
Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
765
Current Trends in Nursing II01:30

Current Trends in Nursing II

1.2K
Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...
1.2K
Field Application of Global Positioning System01:28

Field Application of Global Positioning System

42
The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...
42

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Retraction Note: AI-optimized GRU-based self-attention model for predictive diabetes staging in IoT healthcare 5.0.

Scientific reports·2026
Same author

Optimized CNN-based ensemble deep learning approach for potato leaf disease detection with data augmentation.

Scientific reports·2026
Same author

A dynamic light image enhancement algorithm using generative adversarial network for group activity recognition.

Scientific reports·2026
Same author

Machine Learning-Based Risk Stratification for Symptomatic Intracranial Hemorrhage and 3-month Prognosis Following Intravenous Thrombolysis.

Cerebrovascular diseases extra·2026
Same author

Color image security technique combining encryption and data hiding for healthcare applications.

Computer methods and programs in biomedicine·2026
Same author

Correction: Gender differences in gut microbiome composition between schizophrenia patients with normal body weight and central obesity.

Frontiers in psychiatry·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
Same journal

Three-Dimensional Modeling and Performance Analysis of Dynamic mmWave V2I Networks Based on Stochastic Geometry.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Jun 21, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

531

Privacy-Centric AI and IoT Solutions for Smart Rural Farm Monitoring and Control.

Mosiur Rahaman1,2, Chun-Yuan Lin2, Princy Pappachan3

  • 1International Center for AI and Cyber Security Research and Innovations (CCRI), Asia University, Taichung 413, Taiwan.

Sensors (Basel, Switzerland)
|July 13, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a secure framework for smart rural farms using artificial intelligence (AI) and the Internet of Things (IoT). It enhances data privacy and security against cyber-attacks in AI and IoT agricultural systems.

Keywords:
artificial intelligencesecuritysensors technologysmart farming

More Related Videos

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.2K
An Application for Pairing with Wearable Devices to Monitor Personal Health Status
06:58

An Application for Pairing with Wearable Devices to Monitor Personal Health Status

Published on: February 3, 2022

2.8K

Related Experiment Videos

Last Updated: Jun 21, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

531
Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.2K
An Application for Pairing with Wearable Devices to Monitor Personal Health Status
06:58

An Application for Pairing with Wearable Devices to Monitor Personal Health Status

Published on: February 3, 2022

2.8K

Area of Science:

  • Agricultural Technology
  • Cybersecurity
  • Artificial Intelligence

Background:

  • The integration of AI and IoT in agriculture presents significant advancements in rural farming.
  • However, the adoption of these technologies raises privacy and security concerns, including data breaches and cyber-attacks on sensitive information from IoT devices.

Purpose of the Study:

  • To develop a comprehensive, privacy-centric framework for AI and IoT solutions in smart rural farms.
  • To address security vulnerabilities and protect sensitive data in AI and IoT-enabled agricultural environments.

Main Methods:

  • Designed a three-phase protocol for secure data exchange between users, IoT sensors, and a central server.
  • Implemented rigorous cryptographic techniques for data security and device/user authentication by the central server.
  • Validated the protocol's security and performance using the Automated Validation of Internet Security Protocols and Applications (AVISPA) tool.

Main Results:

  • The proposed protocol establishes a secure communication channel, verifying IoT devices and users.
  • Formal security analysis using AVISPA confirmed the protocol's robustness against various attacks.
  • Demonstrated enhanced performance metrics, including a computation time of 0.04s for 11 messages and efficient search capabilities.

Conclusions:

  • The developed framework provides a practical and secure solution for AI and IoT in smart rural farms.
  • The protocol is suitable for real-time applications, ensuring data integrity and user privacy.
  • The study highlights the importance of robust security measures in advancing agricultural technology.