AI for Sustainable Agriculture: A Systematic Review

Document Type

Article

Publication Title

Signals and Communication Technology

Abstract

In the contemporary realm of agricultural research, the integration of artificial intelligence (AI) with traditional practices is progressively emerging as a focal theme. Nonetheless, the scholarly landscape has demonstrated a notable dearth in examining the intricate relationship between AI and the tripartite principles of sustainable agriculture: economic viability, environmental stewardship, and social responsibility. Utilizing the PRISMA methodology, this systematic review endeavors to bridge this gap, offering an exhaustive examination of the aforementioned relationship. The analysis revealed that while many studies have explored individualized AI applications, few have situated these advancements within a holistic sustainability framework. The findings underscore AI’s potential, when aptly channeled, to address the multifaceted challenges inherent in sustainable agriculture. In essence, this review highlights AI’s transformative capacity to redefine agricultural frameworks, emphasizing its central role in guiding agriculture towards a future deeply rooted in sustainability principles.

First Page

53

Last Page

64

DOI

10.1007/978-3-031-45214-7_3

Publication Date

1-1-2024

Keywords

Artificial intelligence (AI), Environmental stewardship, Sustainable agriculture

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