Abstract:

[Objective] The black soil in China is affected by various natural and human factors. The degradation problems are diverse, and the degree of degradation shows obvious spatial heterogeneity, posing challenges for black soil protection and utilization. In this context, this study proposes a scientific research paradigm for intelligent decision-making in black soil conservation and utilization based on big data and artificial intelligence, which realizes intelligent diagnosis of degradation problems and generates the scientific, accurate, and intelligent recommendation of key technologies for black soil conservation and utilization in China. [Methods] This paper conducts a literature review on black soil conservation and utilization and proposes a new research paradigm based on big data obtained by satellites, unmanned aerial vehicles, ground monitoring apparatuses, Internet of Things, and artificial intelligence methods. [Results] The new research paradigm consists of five key technologies, including collection and processing of multi-source data, generation of black soil information, diagnosis of black soil degradation, construction of the conservation and utilization technology set, and intelligent decision-making for black soil degradation restoration. [Conclusions] The proposed research paradigm contributes to achieving the precise, intelligent, and efficient black soil conservation and utilization by intelligent matching of black soil degradation problems and the technologies.

Key words: Black soil, conservation and utilization, degradation diagnosis, intelligent decision-making, application and dem-onstration