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International Journal of Geography, Geology and Environment
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P-ISSN: 2706-7483, E-ISSN: 2706-7491

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"International Journal of Geography, Geology and Environment"

2025, Vol. 7, Issue 8, Part A

Application of artificial intelligence in agriculture


Author(s): Niraj Ravishanker Tiwari

Abstract: Agriculture, a critical pillar of the global economy and food security, is undergoing a transformative shift through the integration of Artificial Intelligence (AI). This review explores the multifaceted role of AI in modern agriculture, focusing on its application across various domains such as precision farming, soil monitoring, weed and pest management, water management, and disease detection. By leveraging advanced tools like machine learning, computer vision, robotics, and data analytics, AI enables real-time decision-making, resource optimization, and enhanced productivity. Technologies such as AI-powered drones, IoT-based soil sensors, and autonomous robots are revolutionizing field operations and input management, while deep learning algorithms are being used to detect crop diseases and forecast pest outbreaks with high accuracy. The benefits of AI in agriculture include increased crop yields, reduced chemical usage, labor efficiency, and promotion of sustainable farming practices. However, challenges such as high implementation costs, lack of digital literacy among farmers, limited rural connectivity, and data privacy concerns hinder large-scale adoption—particularly among smallholder farmers who constitute the majority in countries like India. Despite these barriers, the future of AI in agriculture remains highly promising. With advancements in AI models, increased government support, and the expansion of digital infrastructure, the sector is poised for a significant digital transformation. The integration of AI with complementary technologies like IoT, genomics, and blockchain can further strengthen the agri-food value chain. Thus, AI is not just a tool but a strategic necessity for ensuring agricultural resilience, profitability, and sustainability in the 21st century. This paper emphasizes the need for inclusive AI adoption to bridge the technological divide in global agriculture.

Pages: 09-14 | Views: 278 | Downloads: 102

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International Journal of Geography, Geology and Environment
How to cite this article:
Niraj Ravishanker Tiwari. Application of artificial intelligence in agriculture. Int J Geogr Geol Environ 2025;7(8):09-14.
International Journal of Geography, Geology and Environment

International Journal of Geography, Geology and Environment

International Journal of Geography, Geology and Environment
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