Seedling emergence is one of the most important phenological processes that influence the
success of weed species. Therefore, predicting weed emergence timing plays a critical role …

In weed science and management, models are important and can be used to better
understand what has occurred in management scenarios, to predict what will happen and to …

Agriculture is the foundation of the national economy. Thus, an appropriate tool for
forecasting agricultural output is very important for policy making. In this study, both modified …

In this study, three-layer Back Propagation Network (BPN) and Genetic Neural Network
(GNN) were applied to predict the leakage of Leak Before Break (LBB) for various …

A model that describes the emergence of ripgut brome was developed using a two-season
data set from a no-tilled field in northeastern Spain. The relationship between cumulative …

Conyza bonariensis is a South American native annual Asteraceae that has been
introduced to the Mediterranean, where it behaves as a ruderal plant and a weed that is …

Regenerative agriculture (RA) is an approach to farming pursued globally for sustaining
agricultural production and improving ecosystem services and environmental benefits …

Highlights•ANN are proposed for real-time weed emergence prediction.•Emergence rates
and cumulative patterns are predicted.•Raw daily field meteorological data are directly …

Predicting the germination behavior of parthenium weed against different conditions of
temperature and osmotic stress is helpful for studying the growth and development history of …

We reviewed the timing of the peak rate of emergence for 15 problematic weed species as
well as ways to use this knowledge to improve control. Much of the previous literature …