-
- You have access: full
- Open access
- ISSN: 0890-037X (Print), 1550-2740 (Online)
- Editor: Jason K. Norsworthy University of Arkansas, Fayetteville, AR, USA
- Editorial board
The journal focuses on:
- Applied aspects concerning the management of weeds in agricultural systems
- Herbicides used to manage undesired vegetation, weed biology and control
- Weed/crop management systems
- Reports of new weed problems
-New technologies for weed management and special articles emphasizing technology transfer to improve weed control
-Articles dealing with plant growth regulators and management of undesired plant growth may also be accepted, provided there is clear relevance to weed science technology, e.g., turfgrass or woody plant management along rights-of-way, vegetation management in forest, aquatic, or other non-crop situations.
-Surveys, education, and extension topics related to weeds will also be considered
Recently published articles
The average time from article submission to first decision is 45.6 days
Featured article from latest issue
Read the related blog
-
Machine-Vision Technology Shows Promise to Reduce Herbicide Use
- 21 November 2024,
- Farmers and land-managers looking to reduce their herbicide applications now have another promising option via machine-vision technology. That’s the summary...
Weed Science Society of America Blog
-
Study Shows Seed Impact Mills Clobber Waterhemp Seed Viability
- 16 January 2025,
- Recent research shows promise for controlling herbicide-resistant weeds, such as waterhemp, in soybean fields by using a seed impact mill at harvest.
-
Planting Soybean Green Proves Effective for Waterhemp and Palmer Amaranth Suppression
- 02 January 2025,
- Recently published research in the journal Weed Science shows planting soybean into a green, living cover crop effectively suppresses two problematic Amaranthus...
-
Machine-Vision Technology Shows Promise to Reduce Herbicide Use
- 21 November 2024,
- Farmers and land-managers looking to reduce their herbicide applications now have another promising option via machine-vision technology. That’s the summary...
Facebook