Green Ecological Crawfish Farming System Based on Digital Intelligence in IoT and AI+ Perspective
Li Yan  Ma Genjuan  Xu Da  Wang Jingyi  Lu Xiaoqiao  Wang Yurui  Zhao Haoyu

Nanjing University of Media and Communication, Nanjing, Jiangsu, 211199;

Abstract: With the rapid development of the crayfish industry, the traditional farming model has been unable to meet modern production needs, facing environmental pollution, resource waste and health management and other issues. In order to promote the green and sustainable development of the industry, the Digital Intelligent Crayfish Green Ecological Farming System based on the Internet of Things (IoT) and Artificial Intelligence (AI+) technology has emerged. The system achieves precise regulation and real-time monitoring of the aquaculture environment through intelligent monitoring, data collection and analysis, effectively optimizing resource allocation and improving production efficiency. Meanwhile, the health management and early warning system combined with AI technology provides a scientific basis for aquaculture and reduces the occurrence of diseases. The application of digital intelligence technology not only enhances the economic benefits of crayfish farming, but also promotes the industry to a greener, smarter, sustainable direction.

Keywords: Internet of Things (IoT); artificial intelligence (AI+); crayfish farming; green ecology

References

[1]Maiti B , Biswas S , Ezugwu E S ,et al.Enhanced crayfish optimization algorithm with differential evolution's mutation and crossover strategies for global optimization and engineering applications[J].Artificial Intelligence Review, 2025, 58(3).

[2]Chinipardaz M , Khoramfar A , Amraee S .Green internet of things and solar energy[J].Environmental Science and Pollution Research, 2024, 31(12):18296-18312.

[3]Yang Y .Smart Garden Management System Based on the combination of Internet of Things and Geographic Information System Technology[J].International Journal of Communication Networks and Information Security, 2024, 16(1):15.

[4]Bonnefond L , Pinaud D , Bollache L ,et al.Intraseasonal variations in the spatial behaviour of an Arctic predator[J].Movement Ecology, 2025, 13(1).