Multifunctional zoning optimization of agricultural land use by coupling Bayesian belief network with density peaks clustering – a case study in Guangdong, China

Urban Farm DB summary

A study in Guangdong Province, China, coupled a Bayesian belief network with density peaks clustering to analyze agricultural land resources. The research identified significant synergies between food production function and other functions, but also a trade-off with food cleanliness. Consequently, Guangdong agricultural land was zoned into five functional zones.