*IR (impact factor; see section 2.3) is an indicator for analyzing the impacts of climate change on a variable (e.g. crop production), and it is defined as the ratio of the variable in a future time p

NIAID Data Ecosystem50

Pearson correlation analysis between different indicators and crop yields.

农业产量预测

精准农业

Pearson correlation analysis between different indicators and crop yields.

Figshare2019-09-04 更新40

Machine Learning-Based Modeling of Spatio-Temporally Varying Responses of Rainfed Corn Yield to Climate, Soil, and Management in the U.S. Corn Belt

农业产量预测

机器学习

This resource is a deposit of the data and codes used in the reference below: Xu, T., Guan, K,, Peng, B., Wei, S. and Zhao, L. (2021) Machine Learning-Based Modeling of Spatio-Temporally Varying Re

www.hydroshare.org2021-04-03 更新80

Performance metric of machine learning models.

农业产量预测

气候影响分析

Climate variability has become one of the most pressing issues of our time, affecting various aspects of the environment, including the agriculture sector. This study examines the impact of climate va

Figshare2024-06-25 更新50