Artificial Intelligence (AI)-Driven IoT (AIIoT)-Based Agriculture Automation-Reference-Cited by-同舟云学术

Artificial Intelligence (AI)-Driven IoT (AIIoT)-Based Agriculture Automation

Published:2024-06-28 Issue: Volume: Page:72-94
ISSN:2327-3275
Container-title:Advances in Business Information Systems and Analytics
language:
Short-container-title:

Author:

Kazi Kutubuddin Sayyad Liyakat¹^ORCID

Affiliation:

1. Baldev Ram Mirdha Institute of Technology, Solapur, India

Abstract

The fusion of IoT and AI encompasses given rise to a new concept - artificial intelligence driven IoT (AIIoT). AIIoT is the intersection of AI and IoT, where AI algorithms are used to assess the data collected by IoT devices, improving their effectiveness and intelligence. AIIoT-based agriculture has become the outcome of the new opportunities for agricultural automation that this technology has made possible. Agriculture automation powered by AI and IoT is revolutionising the sector. It could lead to higher output, lower expenses, and better sustainability. The need for food will only grow as by 2050, it is expected that there will be 9.7 billion people on the planet. In addition to meeting this demand, AIIoT-based agricultural automation can help with resource scarcity and climate change issues.

Publisher

IGI Global

Reference50 articles.

1. Drixit, A. (2014). A Review paper on Iris Recognition. Journal GSD International society for green. Sustainable Engineering and Management, 1(14), 71–81.

2. Akansha, K. (2022). Email Security. Journal of Image Processing and Intelligent remote sensing,2(6).

3. Dixit, J. (2015). Iris Recognition by Daugman’s Algorithm – an Efficient Approach. Journal of applied Research and Social Sciences.

4. Mulani, A. (2019). Effect of Rotation and Projection on Real time Hand Gesture Recognition system for Human Computer Interaction.Journal of The Gujrat Research Society, 21(16), 3710–3718.

5. PIR Sensor-Based Arduino Home Security System;V. D.Gund;Journal of Instrumentation and Innovation Sciences,2023

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Heart Health Monitoring Using IoT and Machine Learning Methods;Advances in Medical Technologies and Clinical Practice;2024-09-27