土壌・地盤ビッグデータの統合と半教師あり学習の応用による山地レゴリス厚の全国推定

• Project/Area Number: 25K02051
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 40010:Forest science-related
• Research Institution: Forest Research and Management Organization
• Principal Investigator: 山下 尚之 国立研究開発法人森林研究・整備機構, 森林総合研究所, 主任研究員 等 (30537345)
• Project Period (FY): 2025-04-01 – 2029-03-31
• Project Status: Adopted (Fiscal Year 2025)
• Budget Amount: ¥18,720,000 (Direct Cost: ¥14,400,000、Indirect Cost: ¥4,320,000); Fiscal Year 2028: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000); Fiscal Year 2027: ¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000); Fiscal Year 2026: ¥5,330,000 (Direct Cost: ¥4,100,000、Indirect Cost: ¥1,230,000); Fiscal Year 2025: ¥7,020,000 (Direct Cost: ¥5,400,000、Indirect Cost: ¥1,620,000)