|GUNSOLUS, JEFF - UNIVERSITY OF MINNESOTA
Submitted to: World Wide Web
Publication Type: Other
Publication Acceptance Date: 2/22/2001
Publication Date: 5/10/2001
Technical Abstract: WeedCast software was developed to assist farmers, consultants, industry and students easily forecast seedling emergence and growth of common annual weeds of crops in the North Central region of the United States. WeedCast was designed to provide estimates with a minimal set of user inputs: daily minimum and maximum air temperature, daily precipitation, general soil type, previous crop, tillage system, and a broad initial soil moisture category. Current emergence and growth estimates can be obtained by entering actual weather, while forecasted emergence and growth estimates can be obtained by entering forecasted weather. WeedCast version 2.0 improves the usability of WeedCast version 1.0, allowing users the flexibility to compare emergence and growth of several weed species simultaneously, customize graph output, and perform calculations using both metric and U.S. standard units. WeedCast version 2.0 equations have also been updated to reflect our most current understandings of weed biology.