Predicting the consequences of manipulating genotype (G) and agronomic management (M)
on agricultural ecosystem performances under future environmental (E) conditions remains …

SoilGrids produces maps of soil properties for the entire globe at medium spatial resolution
(250 m cell size) using state-of-the-art machine learning methods to generate the necessary …

The emergence of new technologies to synthesize and analyze big data with high-
performance computing has increased our capacity to more accurately predict crop yields …

Soils perform multiple functions that contribute to human survival and well-being. However,
we often focus on soil to produce food and fiber and unsustainable management has …

SoilGrids produces maps of soil properties for the entire globe at medium spatial resolution
(250 metres cell size) using state-of-the-art machine learning methods to generate the …

Context The rapid emergence of COVID-19 could have direct and indirect impacts on food
production systems and livelihoods of farmers. From the farming perspective, disruption of …

Recurring drought in the Lower Mekong countries has inflicted enormous pressure on the
natural ecosystem, rice productivity, and water resources. A regional scale assessment over …

Present global maps of soil water retention (SWR) are mostly derived from pedotransfer
functions (PTFs) applied to maps of other basic soil properties. As an alternative,'point …

With the growth in population over the past decades, China's food demand has been
increasing. However, crops are facing greater water stress with the rising temperature and …

Maize production in low-yielding regions is influenced by climate variability, poor soil fertility,
suboptimal agronomic practices, and biotic influences, among other limitations. Therefore …