 |
 |
 |
 |
|
| back | ||||
Abstract
Get More Guacamole: Using GIS and Automated Image Matching Technologies to Improve Avocado Yield Estimation
Track: Agriculture
Author(s): Deborah Johnson, Lisa Cotterman, Julie Raine
The California Avocado Commission, realizing the need for accurate crop yield prediction data, conducts periodic inventories of the major avocado producing regions of California. Previous surveys utilized manual photointerpretation, on-site visits, and parcel information to estimate avocado crop yields. This paper will explore how this year's program has moved from a manual system to an automated GIS process. This improved approach includes the automated preparation of aerial photographs for image interpretation to identify growth stages and estimated yields for each growing region. Learn how aerial photo interpreted data is combined with digital parcel information and data from past inventories to form an effective management GIS for crop prediction and analysis.
Deborah Johnson
Aerial Information Systems, Inc.
112 First Street
Redlands , CA 92373
USA
Phone: 909-793-9493
Fax: 909-798-4430
E-mail: djohnson@aisgis.com
Lisa Cotterman
Aerial Information Systems, Inc.
112 First Street
Redlands 92373
USA
Phone: 909-793-9493
Fax: 909-798-4430
E-mail: djohnson@aisgis.com
Julie Raine
Positive Systems, Inc.
223 Baker Avenue
Whitefish 59937
USA
Phone: 406-862-7745
Fax: 406-862-7759
E-mail: jraine@possys.com