Remote sensing using unmanned aerial vehicles (UAVs) for weed detection is a valuable asset in agriculture and is vastly used for site-specific weed control. Alongside site-specific …
S Benvenuti, M Selvi, S Mercati, G Cardinali… - Scientia …, 2021 - Elsevier
Stale seedbed preparation is a neglected agronomic strategy used to decrease weed seed banks. The experiments aimed to verify the quantity-qualitative seed bank reduction after …
The variability in the emergence process of different populations was confirmed for two Echinochloa crus‐galli populations, one from Italy (IT) and the second from Norway (NO) …
S Benvenuti, M Mazzoncini - Plants, 2018 - mdpi.com
Trials were performed to test the germination ecology of buried weed seeds as a function of physical soil conditions such as of burial depth, texture, and compaction. Indeed, these …
R Masin, A Onofri, V Gasparini, G Zanin - Weed Research, 2017 - Wiley Online Library
Modelling weed seedling emergence pattern appears to be a promising approach in the development of effective weed management programmes based on the selection of optimal …
R Masin, D Loddo, V Gasparini, S Otto, G Zanin - Weed Science, 2014 - cambridge.org
AlertInf is a recently developed model to predict the daily emergence of three important weed species in maize cropped in northern Italy (common lambsquarters, johnsongrass …
D Loddo, F Ghaderi-Far, Z Rastegar… - Plant Protection …, 2018 - search.ebscohost.com
Weed emergence models require the estimation of base temperature for germination (T< sub> b) that was estimated for Abutilon theophrasti, Echinochloa crus-galli, Amaranthus …
Echinochloa crus-galli (L.) P. Beauv. is the most common monocotyledonous weed in maize crops in Croatia. Crop–weed interference is influenced by weed emergence patterns, and …
Weed emergence models are practical tools that aim to describe the dynamics of emergence in the field. Such models can be conceptualized from two main perspectives: a …