Qualitative analysis proposes low-cost, scalable technological solutions for agricultural efficiency, suggesting strong feasibility.
This article analyzes the integration of nanotechnology and artificial intelligence in agribusiness, with an emphasis on low-cost and scalable solutions aimed at small and medium-sized agricultural producers. A qualitative literature review is conducted, and a technological model integrating nanosensors, nano-enabled agricultural inputs, and AI-based decision-making systems is proposed. The results indicate improvements in efficiency, sustainability, and resource optimization, demonstrating the feasibility of applying these technologies in diverse agricultural contexts.
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Iara Gomes de Oliveira (2026) studied this question.
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