Fusarium head blight (FHB) of wheat, mainly caused by Fusarium graminearum Schwabe, is
an emerging threat to wheat production in Korea under a changing climate. The disease …

Crop phenological development models are fundamental tools that can be used for
scheduling agricultural practices and predicting crop yields. In previous research, different …

Crop phenology models play a pivotal role in predicting yields under climate change.
Cultivar-specific model parameters are essential for accurate prediction, but their estimation …

Wheat is one of the world's most important crops, and its phenological model is useful for
scheduling agricultural practices such as fungicide or fertilizer application. Although various …

To improve the prediction accuracy of pest forecasting, we developed a machine-learning-
based method of estimating parameters of the effective accumulated temperature (EAT) …

Snow compaction implements the thermal conditions compatible with both killing volunteer
potatoes and good wheat growth. To reveal how soil freezing regulates volunteer potatoes …

Climate change may induce severe frost damage to crops, and thus a reasonable
assessment of frost risk, considering both crop phenology and meteorology, is required …

We propose a model to predict winter wheat developmental stages in Hokkaido, a snowy
region in Japan. The model uses regression equations incorporating day of the year (DOY) …

Predicting certain crop phenological stages is important for scheduling agricultural practices
and predicting crop responses to climate change. In this study, we developed three different …

Fusarium head blight (FHB) of wheat, mainly caused by Fusarium graminearum Schwabe, is
an emerging threat to wheat production in Korea under a changing climate. The disease …