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IoT and AI-Based Smart Solutions for the Agriculture Industry
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Author(s): Siva Raja Sindiramutty (Taylor's University, Malaysia), Noor Zaman Jhanjhi (Taylor's University, Malaysia), Chong Eng Tan (Universiti Malaysia Sarawak, Malaysia), Wee Jing Tee (Taylor's University, Malaysia), Sei Ping Lau (Universiti Malaysia Sarawak, Malaysia), Husin Jazri (Taylor's University, Malaysia), Sayan Kumar Ray (Taylor's University, Malaysia)and Muhammad Amman Zaheer (National Logistics Corporation, Pakistan)
Copyright: 2024
Pages: 35
Source title:
Advances in Explainable AI Applications for Smart Cities
Source Author(s)/Editor(s): Mangesh M. Ghonge (Sandip Institute of Technology and Research Centre, India), Nijalingappa Pradeep (Bapuji Institute of Engineering and Technology, India), Noor Zaman Jhanjhi (School of Computer Science, Faculty of Innovation and Technology, Taylor’s University, Malaysia)and Praveen M. Kulkarni (Karnatak Law Society's Institute of Management Education and Research (KLS IMER), Belagavi, India)
DOI: 10.4018/978-1-6684-6361-1.ch012
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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.
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