IoT and AI-based smart solutions for the agriculture industry

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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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CITATION STYLE

APA

Sindiramutty, S. R., Jhanjhi, N. Z., Tan, C. E., Tee, W. J., Lau, S. P., Jazri, H., … Zaheer, M. A. (2024). IoT and AI-based smart solutions for the agriculture industry. In Advances in Explainable AI Applications for Smart Cities (pp. 317–351). IGI Global. https://doi.org/10.4018/978-1-6684-6361-1.ch012

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