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Research on the Design of Intelligent Agricultural Products Based on Children's Cognitive Development

Haoping Li, Yuyang Zeng

Abstract


In the context of accelerated urbanization, childrens contact with nature and agricultural activities is decreasing. The cultivation of
smart agriculture and agricultural technology talents has become a national strategic demand, making agricultural enlightenment for preschool
children of great signifi cance. Currently, most childrens agricultural products on the market only remain at the level of traditional planting
toys, lacking scientifi city, interactivity, and intelligent support, and are diffi cult to meet the cognitive characteristics of 3-6-year-old children.
This study, based on the laws of childrens development, combines artifi cial intelligence, the Internet of Things, and sensor technology, designs and explores the functional structure, shape, usage method, and interaction method of intelligent agricultural enlightenment products.
It proposes design strategies centered on modular structure, anthropomorphic guidance, gamifi cation tasks, and multimodal feedback, so that
agricultural knowledge can naturally integrate into the experience process in a visualized, contextualized, and gamifi ed way. The research provides an intelligent design path for childrens agricultural enlightenment, and has positive signifi cance for the integration of "AI + agricultural
education" and the cultivation of smart agriculture talents.

Keywords



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References


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DOI: http://dx.doi.org/10.70711/aitr.v3i5.8353

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