Improving the Efficiency of Forest Resource Assessment Using a Forest Vegetation Classification AI with Rapid Training Image Generation
代表機関名 Kyoto University
採択年度 2024
フェーズ Phase 0
By extending and improving the “Fragmented Image Method,” which enables rapid creation of training images, we will build forest vegetation classification AI models with less than one‑tenth of the labor time required by conventional AI approaches.
This significant cost reduction will bring innovation to forestry sites where AI adoption has previously been limited.
By enabling more efficient forest management, the technology will help improve profitability while also contributing to the mitigation of labor shortages in the forestry sector.
