The global challenges of increasing population and climate change have intensified the issue of food security in the 21st century. In this context, Artificial Intelligence (AI) emerges as a powerful instrument for agricultural transformation. This paper conducts a critical study of the application of AI technology in the agricultural sector and its impact on the sustainable food ecosystem. The transition from traditional farming methods to technology-enabled agriculture is the central focus of this research. Through 'precision farming', AI enables the advance diagnosis of crop diseases, soil quality assessment, and accurate weather forecasting. This methodology reduces the wastage of fertilizers and water, thus enhancing productivity—a crucial factor for sustainable food security. Furthermore, AI plays a vital role in eliminating supply chain inefficiencies and curbing food spoilage. Based on the 2025 global food security standards, the study concludes that merely increasing production is insufficient; developing an environmentally balanced 'sustainable food ecosystem' is a necessity. The research clarifies that the strategic implementation of AI not only boosts farmer incomes but also ensures a nutritious and adequate food supply for future generations.
Sunita Haridas Londhe (Mon,) studied this question.
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