Affiliation:
1. Taylor's University, Malaysia
2. Universiti Malaysia Sarawak, Malaysia
3. National Logistics Corporation, Pakistan
Abstract
This chapter's goal is to review how the IoT smart application solution impacts the agricultural industry around the globe. IoT needed to be implemented in the agricultural industry to increase the efficiency of agricultural methods and escalate production to serve the high demand. Implementing the IoT technology will facilitate agriculture to measure and provide accurate data with various parameters like solar intensity, weather, precipitation temperature, soil moisture, and macronutrients in the soil. This chapter will explore the latest trends in IoT agricultural applications, discuss limitations of traditional agricultural methods, current challenges in the agriculture industry, and real-world examples of IoT in agriculture such as IoT in plant and animal environmental monitoring, smart water irrigation animal, and plant life data monitoring. The final part of this chapter discusses the advancement in IoT technology using drones and finally shows the roadmap for IoT implementation in agriculture.
Reference118 articles.
1. Internet of Things in agriculture: A survey
2. On-the-go soil sensors for precision agriculture
3. Ensemble and Deep-Learning Methods for Two-Class and Multi-Attack Anomaly Intrusion Detection: An Empirical Study
4. Admin. (2022). The Impact of IoT on The Agricultural Sector. Industry Tap. https://www.industrytap.com/the-impact-of-iot-on-the-agricultural-sector/64411
5. Agriculture IoT Market Share, Scope & Industry Analysis 2026. (n.d.). MarketsandMarkets. https://www.marketsandmarkets.com/Market-Reports/iot-in-agriculture-market-199564903.html?gclid=Cj0KCQiA6rCgBhDVARIsAK1kGPIcNLGtscXuprS4dgnAgPAIFfsPxoWVugK5GrnIbnIFdd9uiAhXUW8aAvbzEALw_wcB
Cited by
14 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. Generative AI for Threat Hunting and Behaviour Analysis;Advances in Digital Crime, Forensics, and Cyber Terrorism;2024-09-13
2. Generative AI for Threat Intelligence and Information Sharing;Advances in Digital Crime, Forensics, and Cyber Terrorism;2024-09-13
3. Risk Assessment and Mitigation With Generative AI Models;Advances in Digital Crime, Forensics, and Cyber Terrorism;2024-09-13
4. Ethics and Transparency in Secure Web Model Generation;Advances in Information Security, Privacy, and Ethics;2024-07-26
5. Generative AI for Secure User Interface (UI) Design;Advances in Information Security, Privacy, and Ethics;2024-07-26