If you are having trouble receiving the account verification email, please check your spam or junk folder. Some mail servers are more restrictive and the email could get flagged as potential spam or junk. If you have access to an alternative email (e.g. Gmail, Yahoo, etc), you can try signing up with a different email address if you can't locate the verification email in spam or junk.
You can get a new verification email sent to you by doing the following:
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If you forgot your username and password and need to still verify your account, do the following:
When you receive the email, click the reset password link in the email. This will send you to a page that says a verification email was sent to your email address. Once you receive the verification email, click the link in the email to verify your account. Now that your account is active, you should be able to go through the steps to reset your password.
You can download an example video that shows how to add a field and run an example job here
No, the DSSAT crop model does not support overlapping dates; however, we recommend you set the planting date of the cover crop to match the date you actually planted it and move the harvest date of the cash crop to one day before the cover crop planting date so the dates do not overlap. Since the cash crop is not growing, there is little impact to the model outputs. In the future, we will update to handle this on the service side so users can enter actual dates of planting and harvest in the case there is overlap. For now, you will need to adjust the dates so they don't overlap.
No, but this feature is coming soon in a future update of the software.
No, but this feature is coming soon in a future update of the software.
The CLU boundary data was provided by Ag-Analytics.
2008 FSA Common Land Units obtained via Ag-Analytics.Org (Woodard,2016a; Woodard, 2016b)"
1.) Woodard, J.D., “Big data and Ag-Analytics: an open source, open data platform for agricultural & environmental finance, insurance, and risk,” Agricultural Finance Review, (2016) 76(1):15-26.
2.) Woodard, J.D., “Data Science and Management for Large Scale Empirical Applications in Agricultural and Applied Economics Research,” Applied Economic Perspectives and Policy, (2016) 38(3): 373-388.