作物組Crop Science Division

• 學歷
• 國立屏東農專農藝科
  臺灣大學農藝研究所碩士
  臺灣大學農藝研究所博士
  
• 經歷
• 行政院農業委員會農業試驗所農工組 助理、助理研究員、副研究員、研究員
  農業部農業試驗所農工組 研究員
  農業部農業試驗所作物組 研究員
  
• 學術專長
• 農業氣象、氣候變遷、設施工程
• 聯絡方式
• 電話:04-23317715
  電子信箱:mhyao@tari.gov.tw
  
• 期刊論文
• 1. Chiang, M.J., S.K. Yang, B.J. Kuo, W. Sun, S.L. Fang, C.Y. Chuang, C.H. Ho, F.J. Chang, M.H Yao*. 2026. An automated foldable organic photovoltaic system for greenhouses supporting crop productivity and achieving energy self-sufficiency. Cell Reports Physical Science(accepted)
  2. Fang, S.L., B.Y. Tsai. S.C. Chang, Y.L. Chang. M.H. Yao. M.K. Chi, W.L. Wang. B.J. Kuo. 2026. Regulated deficit irrigation strategy for greenhouse melons based on water status classification model and crop coefficient-reference evapotranspiration approach. Irrigation Science 44:41 https://doi.org/10.1007/s00271-026-01082-9
  3. Yao, M.H., T.H. Chang, H.C. Wang, M.R. Jiang. 2026. Using artificial intelligence to develop smart environmental control systems for greenhouses. Acta Hortic. (accepted)
  4. Pu-Yun Kow, Yun-Ting Wang, Yu-Wen Chang, Meng-Hsin Lee, Ming-Hwi Yao, Li-Chiu Chang, Fi-John Chang* .2025. AI-driven weather downscaling for smart agriculture using autoencoders and transformers. Computers and Electronics in Agriculture. https://doi.org/10.1016/j.compag.2025.110129
  5. Lee, M.-H.; Yao, M.-H.*; Kow, P.-Y.; Kuo, B.-J.; Chang, F.-J.* 2024. An Artificial Intelligence-Powered Environmental Control System for Resilient and Efficient Greenhouse Farming. Sustainability, 16, 10958. https://doi.org/10.3390/su162410958
  6. Yao, M.-H.; Hsu, Y.-H.; Li, T.-Y.; Chen, Y.-M.; Lu, C.-T.; Chen, C.-L.; Shih, P.-Y. 2024. Agricultural Disaster Prevention System: Insights from Taiwan’s Adaptation Strategies. Atmosphere 2024, 15, 526. https://doi.org/10.3390/atmos15050526
  7. Lin, Y.-S.; Fang, S.-L.; Kang, L.; Chen, C.-C.; Yao, M.-H.; Kuo, B.-J. 2024. Combining recurrent neural network and sigmoid growth models for short-term temperature forecasting and tomato growth prediction in a plastic greenhouse. Horticulturae 2024, 10, 230. https:// doi.org/10.3390/horticulturae 10030230
  8. Fang, S.-L.; Cheng, Y.-J.; Tu, Y.-K.; Yao, M.-H.; Kuo, B.-J. 2023. Exploring Efficient Methods for Using Multiple Spectral Reflectance Indices to Establish a Prediction Model for Early Drought Stress Detection in Greenhouse Tomato. Horticulturae 2023, 9, 1317. https://doi.org/10.3390/horticulturae9121317
  9. Fang , Shih-Lun, Yuan-Kai Tu , Le Kang, Han-Wei Chen, Ting-Jung Chang, Min-Hwi Yao & Bo-Jein Kuo. 2023. CART model to classify the drought status of diverse tomato genotypes by VPD, air temperature, and leaf–air temperature difference.. Scientific Reports 13:602 (https://doi.org/10.1038/s41598-023-27798-8).
  10. Kuo, Chin-En, Yuan-Kai Tu, Shih-Lun Fang, Yong-Rong Huang, Han-Wei Chen , Min-Hwi Yao, Bo-Jein Kuo. 2023. Early detection of drought stress in tomato from spectroscopic data: A novel convolutional neural network with feature selection. Chemometrics and Intelligent Laboratory Systems .2023.104869 https://doi.org/10.1016/j.chemolab.2023.104869.
  11. Chen T.H., M.H. Lee, I.W. Hsia, C.H. Hsu, M.H. Yao, and F.J. Chang. 2022.Develop a Smart Microclimate Control System for Greenhouses through System Dynamics and Machine Learning Techniques. Water 14,3941.https://doi.org/10.3390/w14233941
  12. Tu, Y.K., C.E. Kuo, S.L. Fang , H.W. Chen , M.K. Chi, M.H. Yao and B.J. Kuo.2022. A 1D-SP-Net to Determine Early Drought Stress Status of Tomato (Solanum lycopersicum) with Imbalanced Vis/NIR Spectroscopy Data. Agriculture 2022, 12(2), 259; https://doi.org/10.3390/agriculture12020259
  13. Shih-Lun Fang , Ting-Jung Chang, Yuan-Kai Tu, Han-Wei Chen, Min-Hwi Yao and Bo-Jein Kuo . 2022. Plant-Response-Based Control Strategy for Irrigation and Environmental Controls for Greenhouse Tomato Seedling Cultivation. Agriculture 12(5), 633; https://doi.org/10.3390/agriculture12050633
  14. Parichart Promchote, Shih-Yu Simon Wang, Jin-Ho Yoon, Paul G. Johnson, Earl Creech, Yuan Shen, Ming-Hwi Yao. 2022. On the Changing Cool Season Affecting Rice Growth and Yield in Taiwan. Agronomy 12, 2625. https://doi.org/10.3390/agronomy12112625
  15. Shih-Lun Fang, Yu-Hsien Kuo, Le Kang, Chu-Chung Chen, Chih-Yu Hsieh, Min-Hwi Yao, Bo-Jein Kuo*. 2022. Using Sigmoid Growth Models to Simulate Greenhouse Tomato Growth and Development. Horticulturae 8, 1021. https://doi.org/10.3390/horticulturae8111021
  16. Pu-Yun Kow, Meng-Hsin Lee, Wei Sun, Ming-Hwi Yao, Fi-John Chang .2022. Integrate deep learning and physically-based models for multi-step-ahead microclimate forecasting. Expert Systems with Applications 210. https://doi.org/10.1016/j.eswa.2022.118481
  17. Yao, M.H., H.C. Wang, Y.W. Chiu, H.C. Hsieh, T.H. Chang and Y.J. Lee. 2021. Integrating micro-weather forecasts and crop physiological indicators for greenhouse environmental control. Acta Hortic. 1327:445-454.
  18. Tu, Y.K., H.W. Chen, S.L. Fang, M.H. Yao, Y.Y. Tseng and B.J. Kuo. 2021. Establishing of early discrimination methods for drought stress of tomato by using environmental parameters and NIR spectroscopy in greenhouse. Acta Hortic. 1311:501-511.
  16. Yao M.H., H.S. Lur, C.H. Huang. 2020. Life cycle assessment of leafy vegetables consumption in urban Taipei, Taiwan. WIT Transactions 243:71-83
  
• 研討會論文
• 1. Yao M.H, T.Y. Li. 2026. Dynamic Rice Yield Prediction System. Crop Modeling for Agriculture and Food Security under Global Change, Florence, Italy（iCROPM2026）
  2. Yao, M.H. 2025. Using artificial intelligence to develop smart environmental control systems for greenhouses. XIII International Symposium on Integrating Canopy, Rootstock and Environmental Physiology in Orchard Systems, Napier, New Zealand.
  3. Yao, M.H., Y.H. Hsu, T.Y. Li, Y.M. Chen. 2024. Agricultural production zone meteorological forecasting and observation information services in Taiwan. 14th ASIA-Pacific federation for information technology in agriculture (APFITA2024), Tsukuba, Japan
  4. Yao, M.H. and HS Lur. 2024. Building a Resilient, Sustainable Cropping and Production System for Rice Cultivation in Taiwan. International Cereal and Bread Congress. France Nantes
  5. Yao, MH., HS Lur, YM Chen, HC Li, YH Hsu, YC Liu. 2021. Adaptation to Agricultural Water Shortage in Taiwan – A Case Study on Direct Seeding on Dry Field. Meeting for International Workshop on Adaptation Research for Climate Change in Asia, Taipei, Taiwan
  6. Yao, M.H. 2021.Challenges and Adaptation for Rice Production under Climate Change in Taiwan.10th Asian Crop Science Association Conference (ACSAC 10)
  7. Hsieh, H.C.; Chiu, Y.W.; Lin, Y.X., Yao, M.H. and Lee, Y.J. 2020. Local Precipitation Forecast with LSTM for Greenhouse Environmental Control. International Conference on Pervasive Artificial Intelligence 2020. Taipei, Taiwan
  
• 專書及專書論文
• 1. 姚銘輝。2023。氣候變遷國家科學報告-農業領域。專書
  2. Liu, T.M., T.Y. Teng, Y.M. Chen, H.H. Hsu, Y.H. and M.H. Yao. 2025. Impacts of Climate Change on Agricultural Water Management and Adaptation- Case Studies in Northern Taiwan. In: Guide to innovated irrigation and drainage management under the changing climate. 67-75. International Commission on Irrigation and Drainage (ICID)
  
• 技術報告及其他等
• 1. 姚銘輝、李國基。2025。農業氣象服務及智慧防災推動。農政與農情 396:24-29
  2. 姚銘輝、李亭儀、徐永衡。2025。農業氣象資訊服務。農業世界雜誌500:6-10
  3. 徐永衡、劉星妤、陳永明、姚銘輝、李亭儀。2024。整合防救災資源災害預警護家園。農政與農情 383:39-43
  4. 姚銘輝。2023。氣候變遷下臺灣糧食安全議題及調適策略。TCCIP電子報65期(具審查機制)
  5. 楊滿霞、姚銘輝、徐永衡、劉星妤。2023。農業防災好幫手~農災Line。農業世界 479:57-60
  6. 姚銘輝。2022. 氣候變遷對農業生產的衝擊—解讀IPCC最新氣候評估報告(AR6)。技術服務季刊。33(2):25-29.
  7. 姚銘輝、徐永衡、陳永明。2022。天然災害預警情資整合作業之執行實務。農政與農情 364:43-49
  8. 姚銘輝、李亭儀、柳再明，陳永明、呂椿棠。2022。農業防災體系及農作物早期災害預警平台。災害防救科技與管理學刊。11(2):75-87