The Fusion of AI, IoT, and Agricultural Sensors for Self-Sustaining Agro-Technological Ecosystems-Reference-Cited by-同舟云学术

The Fusion of AI, IoT, and Agricultural Sensors for Self-Sustaining Agro-Technological Ecosystems

Published:2024-05-31 Issue: Volume: Page:274-299
ISSN:2327-3372
Container-title:Advances in Human Resources Management and Organizational Development
language:
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Author:

Kalpana S.¹,Ganapathi Babu Kamunuri²,Padmavathi T. V. N.³,Sharma Bhumika⁴^ORCID,B. S. Hari⁵^ORCID,Sudha M.⁶

Affiliation:

1. Department of Artificial Intelligence and Data Science, Jai Shriram Engineering College, India

2. Department of Computer Science and Engineering, St. Martin's Engineering College, India

3. Department of Food Safety and Quality Assurance, College of Food Science and Technology, India

4. Sharda School of Law, Sharda University, India

5. Department of Mechanical Engineering, Kongu Engineering College, India

6. SSR Engineering College, India

Abstract

This chapter explores the integration of artificial intelligence (AI), the internet of things (IoT), and agricultural sensors in creating self-sustaining ago-technological ecosystems. It delves into the historical foundations of agricultural technology, highlights the modern technologies' impact on farming practices, provides a detailed understanding of AI in agriculture, and highlights the role of agricultural sensors. The chapter discusses the integration of AI, IoT, and sensors in agriculture, focusing on the development of self-sustaining ecosystems. It discusses challenges in implementing these technologies and proposes solutions. Real-world case studies provide valuable insights. The chapter also explores the future trajectory of these advancements and their potential to revolutionize agriculture, offering a comprehensive guide for navigating technology-agriculture harmony for sustainable and efficient practices.

Publisher

IGI Global

Reference68 articles.

1. Smart Precision Agriculture Using IoT and WSN

2. Smart Precision Agriculture Using IoT and WSN

3. Agrawal, A. V., Shashibhushan, G., Pradeep, S., Padhi, S., Sugumar, D., & Boopathi, S. (2023). Synergizing Artificial Intelligence, 5G, and Cloud Computing for Efficient Energy Conversion Using Agricultural Waste. In Sustainable Science and Intelligent Technologies for Societal Development (pp. 475–497). IGI Global.

4. Synergizing Artificial Intelligence, 5G, and Cloud Computing for Efficient Energy Conversion Using Agricultural Waste

5. IoT's Role in Smart Manufacturing Transformation for Enhanced Household Product Quality