画像解析によるシンク情報の非破壊・連続推定手法の構築

• Project/Area Number: 25K18328
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 41040:Agricultural environmental engineering and agricultural information engineering-related
• Research Institution: Kyushu University
• Principal Investigator: 横山 岳 九州大学, 農学研究院, 助教 (80962472)
• Project Period (FY): 2025-04-01 – 2028-03-31
• Project Status: Adopted (Fiscal Year 2025)
• Budget Amount: ¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000); Fiscal Year 2027: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000); Fiscal Year 2026: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000); Fiscal Year 2025: ¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)