Related references
Note: Only part of the references are listed.Characterization of herbicide use and factors responsible for herbicide resistance in Phalaris minor in wheat in Haryana, India
Raghuveer Singh et al.
CROP PROTECTION (2021)
Integrated Weed Management in Herbaceous Field Crops
Aurelio Scavo et al.
AGRONOMY-BASEL (2020)
Simulation Models on the Ecology and Management of Arable Weeds: Structure, Quantitative Insights, and Applications
Muthukumar V. Bagavathiannan et al.
AGRONOMY-BASEL (2020)
Deep learning and process understanding for data-driven Earth system science
Markus Reichstein et al.
NATURE (2019)
Factors that influence the level of weed seed predation: A review
Vahid Sarabi
WEED BIOLOGY AND MANAGEMENT (2019)
Integrated weed management (IWM): why are farmers reluctant to adopt non-chemical alternatives to herbicides?
Stephen Moss
PEST MANAGEMENT SCIENCE (2019)
Integrating machine learning and multiscale modeling-perspectives, challenges, and opportunities in the biologica biomedical, and behavioral sciences
Mark Alber et al.
NPJ DIGITAL MEDICINE (2019)
Integrated pigweed (Amaranthus spp.) management in glufosinate-resistant soybean with a cover crop, narrow row widths, row-crop cultivation, and herbicide program
Marshall M. Hay et al.
WEED TECHNOLOGY (2019)
A generalised individual-based algorithm for modelling the evolution of quantitative herbicide resistance in arable weed populations
Chun Liu et al.
PEST MANAGEMENT SCIENCE (2017)
Moving integrated weed management from low level to a truly integrated and highly specific weed management system using advanced technologies
S. L. Young et al.
WEED RESEARCH (2017)
The role of climate change and increasing atmospheric carbon dioxide on weed management: Herbicide efficacy
Lewis H. Ziska
AGRICULTURE ECOSYSTEMS & ENVIRONMENT (2016)
Machine learning methods for empirical streamflow simulation: a comparison of model accuracy, interpretability, and uncertainty in seasonal watersheds
Julie E. Shortridge et al.
HYDROLOGY AND EARTH SYSTEM SCIENCES (2016)
Nonconventional Weed Management Strategies for Modern Agriculture
Ali A. Bajwa et al.
WEED SCIENCE (2015)
Impact of climate change on weeds in agriculture: a review
Kristian Peters et al.
AGRONOMY FOR SUSTAINABLE DEVELOPMENT (2014)
Herbicide resistance modelling: past, present and future
Michael Renton et al.
PEST MANAGEMENT SCIENCE (2014)
When Is the Best Time to Emerge: Reproductive Phenology and Success of Natural Common Waterhemp (Amaranthus rudis) Cohorts in the Midwest United States?
Chenxi Wu et al.
WEED SCIENCE (2014)
A review of the effects of crop agronomy on the management of Alopecurus myosuroides
P. J. W. Lutman et al.
WEED RESEARCH (2013)
Future research challenges for incorporation of uncertainty in environmental and ecological decision-making
J. C. Ascough et al.
ECOLOGICAL MODELLING (2008)
Multiple herbicide resistance in littleseed canarygrass (Phalaris minor):: A threat to wheat production in India
Rajender S. Chhokar et al.
WEED BIOLOGY AND MANAGEMENT (2008)
Integrated weed management: Knowledge-based weed management systems
Clarence J. Swanton et al.
WEED SCIENCE (2008)
The Data Uncertainty Engine (DUE): A software tool for assessing and simulating uncertain environmental variables
James D. Brown et al.
COMPUTERS & GEOSCIENCES (2007)
Phalaris minor seedbank studies:: longevity, seedling emergence and seed production as affected by tillage regime
A. C. Franke et al.
WEED RESEARCH (2007)
Dormancy and viability of Phalaris minor seed in a rice-wheat cropping system
H Om et al.
WEED RESEARCH (2005)
Application of Multicriteria Decision Analysis in Environmental Decision Making
Gregory A. Kiker et al.
INTEGRATED ENVIRONMENTAL ASSESSMENT AND MANAGEMENT (2005)
Biology and management of Phalaris minor in rice-wheat system
H Om et al.
CROP PROTECTION (2004)
Post-dispersal weed seed predation in Michigan crop fields as a function of agricultural landscape structure
FD Menalled et al.
AGRICULTURE ECOSYSTEMS & ENVIRONMENT (2000)