Abstract Models are key tools in our quest to better understand the impacts of soil
waterlogging on plant growth and crop production. Here, we reviewed the state of the art of …

Early prediction of grain yield helps scientists to make better breeding decisions for wheat.
Use of machine learning (ML) methods for fusion of unmanned aerial vehicle (UAV)-based …

Potato has been recognized as a crop of importance in developing countries for ensuring
human nutrition and food security. The dwindling natural resources, low fertility of soils, the …

Crop growth simulation models of varying complexity have been developed for predicting
the effects of soil, water and nutrients on grain and biomass yields and water productivity of …

Winter wheat is the main crop on the North China Plain (NCP), and in this region the most
limiting factor for the crop is water. The objective of this study was to adapt and test the ability …

Abstract The Yellow River Basin (YRB), the second largest river basin of China, has
experienced a booming agriculture over the past decades. But data on variability of and …

The present work aims to quantify the impact of climate change (CC) on the grain yields of
irrigated cereals and their water requirements in the Tensift region of Morocco. The Med …

Water shortage is the main constraint resulting in low crop yields in arid and semiarid areas,
where irrigation is essential to sustain agricultural production. Unreasonable irrigation will …

Crop growth simulation models have become important tools to assess and develop deficit
irrigation strategies especially in arid and semi-arid regions. In this study, we tested the …

Farming in Serbia is traditionally rainfed. Analyses show that drought events of varying
severity are frequent in this region, although there is no specific pattern. There is a distinct …