Guan, Kaiyu

A high-performance and in-season classification system of field-level crop types using time-series Landsat data and a machine learning approach

Cai, Y., Guan, K., Peng, J., Wang, S., Seifert, C., Wardlow, B., & Li, Z. (2018) · Remote Sensing of Environment

Remote Sensing in AgricultureSmart Agriculture and AI

Cited by 540

Towards a multiscale crop modelling framework for climate change adaptation assessment

Peng, B., Guan, K., Tang, J., Ainsworth, E. A., Asseng, S., Bernacchi, C. J., Cooper, M., Delucia, E. H., Elliott, J. W., Ewert, F., et al. (2020) · Nature Plants

Climate change impacts on agricultureAgricultural Productivity and Crop Improvement

Cited by 322

Silver lining to a climate crisis in multiple prospects for alleviating crop waterlogging under future climates

Liu, K., Harrison, M. T., Yan, H., Liu, D. L., Meinke, H., Hoogenboom, G., Wang, B., Peng, B., Guan, K., Jaegermeyr, J., et al. (2023) · Nature Communications

Plant responses to water stressClimate change impacts on agriculture

Cited by 252

Redefining marginal land for bioenergy crop production

Khanna, M., Chen, L., Basso, B., Cai, X., Field, J. L., Guan, K., Jiang, C., Lark, T. J., Richard, T. L., Spawn‐Lee, S. A., et al. (2021) · GCB Bioenergy

Bioenergy crop production and managementBioeconomy and Sustainability Development

Cited by 105

Are we approaching a water ceiling to maize yields in the United States?

DeLucia, E. H., Chen, S., Guan, K., Peng, B., Li, Y., Gomez‐Casanovas, N., Kantola, I. B., Bernacchi, C. J., Huang, Y., Long, S. P., et al. (2019) · Ecosphere

Climate change impacts on agricultureIrrigation Practices and Water Management

Cited by 62

Assessing Marginal Land Availability Based on Land Use Change Information in the Contiguous United States

Jiang, C., Guan, K., Khanna, M., Chen, L., & Peng, J. (2021) · Environmental Science & Technology

Bioenergy crop production and managementLand Use and Ecosystem Services

Cited by 43