Adoption Challenges of Industry 4.0 in Agrisector and Designing a Framework to Reduce It

Adoption Challenges of Industry 4.0 in Agrisector and Designing a Framework to Reduce It

Meghana Mishra, Suchismita Satapathy
Copyright: © 2024 |Pages: 12
DOI: 10.4018/979-8-3693-3583-3.ch017
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Abstract

Agriculture 4.0 technology allows farmers to use trend analysis to predict future weather conditions and crop yields in the coming days. IoT in agriculture helps farmers maintain crop quality and soil fertility, thereby increasing yield and quality. The data collected is used to leverage technological advances to enable better decision-making. By recording data from sensors, IoT devices provide real-time information about plant health. Hence the barriers of Industry 4.0 must be mitigated to improve agrisector. Still people prefer traditional farming process, hence in this chapter, a study is carried out to find barriers of adoption of Industry 4.0 in agrisector and designed a framework to mitigate the challenges.
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Background

Dwivedi et al(2019) have discussed that AI acts as an transformative technology across almost all industries.The transformative potential of artificial intelligence (AI) in agriculture is highlighted by Liakos et al. (2018), Elbasi et al. (2023), and Sharma et al. (2021). These studies demonstrate AI's capacity for automation, self-learning, human emulation, prediction, and augmentation. These qualities allow AI to reduce environmental impact, improve crop monitoring, and optimize resource allocation—all of which have the potential to transform agricultural output (Elbasi et al., 2023).

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