Using Prediction Models to Manage Diseases in Fruit
PPFS-FR-T-7
Using Prediction Models to Manage Diseases in Fruit
Using Prediction Models to Manage Diseases in Fruit
Authored by: Kimberly Leonberger Evan Tate Nicole Gauthier
Abstract
Numerous plant diseases impact fruit crops throughout Kentucky. Factors such as plant growth stage, as well as rainfall, temperature, and other weather conditions, can be used to determine risk for plant disease. Prediction models are critical tools for growers, as they allow for protective management strategies to be deployed when disease risk is high. Use of these models can provide growers with cost savings, as unnecessary chemical applications are eliminated when risk of infection is low.
Core Details
Publication ID
PPFS-FR-T-7
Status
Minor Revision
Publication Date
January 1, 2019
Series
Multi-Part Series
N/A
Categorical Details
Language
English
Peer Reviewed?
Yes