Accurate crop yield predictions are crucial for farmers and policymakers. Despite the
widespread use of ensemble machine learning (ML) models in computer science, their …

China contributed nearly one-fifth of the world maize production over the past few years.
Mapping the distributions of maize cropland in China is crucial to ensure global food …

Accurate large-scale crop yield estimation under climate variability is essential to
understanding the dynamics of global food security. The deep learning method has shown …

Crop growth models, such as the WOrld FOod STudies (WOFOST) model, mimic the
mechanistic processes involved in crop development, growth, and yield production. The …

Agriculture plays a crucial role in Nigeria's economy, serving as a vital source of sustenance
and livelihood for numerous Nigerians. With the escalating impact of climate change on crop …

Remote sensing observations and artificial intelligence algorithms have emerged as key
components for crop yield estimation at various scales during the past decades. However …

Crop yield prediction plays an important role in food security. Crop growth models can be
used for this purpose, however, they require empirical parametrization. In this study, we …

Parcel-scale crop classification utilizing time-series satellite observations is of significant
importance in precision agriculture. The prior knowledge that crop types can be organized in …

Rapid and accurate prediction of crop yield is particularly important for ensuring national
and regional food security and guiding the formulation of agricultural and rural development …

This study researches the influence of the three tillage systems (conventional, economical
and mulch tillage) when combined with different soil plastic mulching and fertilizer …