The accurate prediction of soybean yield is of great significance for agricultural production,
monitoring and early warning. Although previous studies have used machine learning …

Crop yields are affected by hydroclimatic and edaphic conditions, but their interacting roles
are often neglected when assessing crop yields at the regional scale. Moreover, often used …

The deep drainage of irrigated cropland, which is one of the main causes of water losses in
irrigation, plays an important role in water resource management. However, its magnitudes …

Abstract We present Multiscale Extrapolative Learning Algorithm (MELA) as a novel artificial-
intelligence (AI)-based data extrapolator. MELA is capable of extending temporally limited …

In evaluating the impacts of drought and flooding disasters on crop yields, accurately
calculating meteorological yield (ie, detrended yield) is an important procedure. The present …

While reducing agricultural inputs (eg, nitrogen (N) fertilizer and labor), increasing wheat
yield are of great significance in wheat production. The study investigated whether “one-time …

Waterlogging disasters severely restrict crop production. The middle and lower Yangtze
River region (MLYRR) is an important grain-producing region in China but suffers from …

Soil waterlogging is among the major factors limiting the grain yield of winter wheat crops in
many parts of the world, including the middle and lower reaches of the Yangtze River China …

Flooding is a worldwide destructive disaster that severely restricts agricultural production.
Meteorological indices are common tools for regionally assessing the impact of flooding on …

Understanding contributions of climate and management intensifications to crop yield trends
is essential to better adapt to climate changes and gauge future food security. Here we …