The Role of AI in Smart Farming and Precision Agriculture: Cultivating Efficiency and Sustainability

The agricultural industry is confronting significant challenges in sustaining global food production amid resource constraints and environmental concerns. Smart farming and precision agriculture harness advanced technologies to enhance efficiency and sustainability. Artificial Intelligence (AI) plays a crucial role in this transformation by enabling data-driven decision-making, optimizing agricultural processes, and improving productivity. This paper examines AI's role in smart farming and precision agriculture, focusing on its applications in crop management, livestock monitoring, resource optimization, and predictive analytics. Through an analysis of machine learning algorithms, computer vision techniques, and AI- powered decision support systems, this research underscores AI’s potential in increasing efficiency, reducing environmental impact, and fostering a more sustainable agricultural future.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-07
DOI
https://doi.org/10.5281/zenodo.17551606
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00
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article

The Role of AI in Smart Farming and Precision Agriculture: Cultivating Efficiency and Sustainability

Zenodo (CERN European Organization for Nuclear Research)
Smart Agriculture and AI
article

The Role of AI in Smart Farming and Precision Agriculture: Cultivating Efficiency and Sustainability

article en

Abstract

The agricultural industry is confronting significant challenges in sustaining global food production amid resource constraints and environmental concerns. Smart farming and precision agriculture harness advanced technologies to enhance efficiency and sustainability. Artificial Intelligence (AI) plays a crucial role in this transformation by enabling data-driven decision-making, optimizing agricultural processes, and improving productivity. This paper examines AI's role in smart farming and precision agriculture, focusing on its applications in crop management, livestock monitoring, resource optimization, and predictive analytics. Through an analysis of machine learning algorithms, computer vision techniques, and AI- powered decision support systems, this research underscores AI’s potential in increasing efficiency, reducing environmental impact, and fostering a more sustainable agricultural future.

Zenodo (CERN European Organization for Nuclear Research)
Zero hunger
Openalex Percentile: Top 29%
Smart Agriculture and AI
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