Pistachio Predictor

Predict upcoming pistachio crop yield based on dynamic chilling portions. Get started below:

Calculator

This calculator is based on the measurement of dynamic model chilling portions (DCP; see description here). See the instructional video below the calculator for an example.

Previous year’s yield (total marketable pounds/acre)::

Must be a postive number

Will predicted yield be higher/lower than prior year?:

Higher

Lower

CP total on Oct 28 :

Must be a postive number between 0 and 100

CP total on Nov 25:

Must be a postive number between 0 and 100

CP total on Dec 23:

Must be a postive number between 0 and 100

CP total on Jan 20:

Must be a postive number between 0 and 100

CP total on Feb 17:

Must be a postive number between 0 and 100

CP total on Mar 17:

Must be a postive number between 0 and 100

Actual or Guessed Yield

If you are testing the accuracy of this calculator by predicting past years' results, please enter the actual yield so that we can check the accuracy of the prediction. If you are using the calculator for the upcoming harvest, please enter your own projected yield. This also allows us to see how well the calculator performs relative to perceptions. Thank you!

(Optional):

Must be a postive number between 0 and 10000

Actual

Guess

About

The Pistachio Predictor provides a tool to assist in making timely crop yield forecasts. This information is useful for pistachio growers and related industries to better plan the harvest and manage the market.

Using past pistachio yield data, we can identify generalized patterns between crop yield and the associated seasonal environmental and agronomic conditions. These patterns can then be used to build a model to predict future crop yields.

Acknowledgement:

Funding for this project was provided by a California Department of Food and Agriculture Specialty Crop Block Program.

Contact

The website was developed and is managed by the Center for Irrigation Technology (CIT) at California State University, Fresno.

We welcome any feedback that will help fine tune and improve the Pistachio Predictor performance. Please contact Shawn Ashkan at sashkan@csufresno.edu with questions, concerns or suggestions.