機械学習を用いた年輪酸素同位体比推定モデルによる木材産地判別技術の開発

• Project/Area Number: 25K02076
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 40020:Wood science-related
• Research Institution: Forest Research and Management Organization
• Principal Investigator: 香川 聡 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 (40353635)
• Project Period (FY): 2025-04-01 – 2028-03-31
• Project Status: Adopted (Fiscal Year 2025)
• Budget Amount: ¥18,200,000 (Direct Cost: ¥14,000,000、Indirect Cost: ¥4,200,000); Fiscal Year 2027: ¥7,670,000 (Direct Cost: ¥5,900,000、Indirect Cost: ¥1,770,000); Fiscal Year 2026: ¥5,850,000 (Direct Cost: ¥4,500,000、Indirect Cost: ¥1,350,000); Fiscal Year 2025: ¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)