Implementation of the PeanutFARM Website to Deliver Irrigation Scheduling, Improved Methods of Peanut Maturity Determination and Disease Prediction to Peanut Growers

Institution:

University of Florida

Budget ID:

1309

Project ID:

394

Report BID:

State:

Florida

Region:

Southeast (GA, FL, AL)

State Group:

FL-92

Project Fiscal Year:

2014

Category:

Production/Agronomics

Report Type:

Report Received Date:

Investigator:

Rowland

Project NPB Budget:

$26,000

Layman's Summary: To remain both economically and environme'ntally sustainable, peanut growers require access to new technologies and tools that can maximize production through improved agronomic management of their peanut crop, including in-season and harvest decisions. With the release of the web based tool, Peanut FARM (Field Agronomic Resource Manager) funded in part by the NPB/SPRI program in 2012 and 2013, growers now have access to a suite of tools. TOOL #1: Peanut maturity predictor. An adjusted growing degree day (aGDD) model for predicting peanut maturity has been incorporated into a web platform and was launched for the 2013 growing season. TOOL #2: Irrigation Scheduling System. Launched with the aGDD tool in 2013, this tool utilizes cumulative aGDD's and ET to estimate crop water use and provides daily irrigation recommendations. TOOL #3: Digital imaging model {DIM). Our team has finalized the development of DIM to assess peanut maturity and have successfully translated the digital analysis of mesocarp color into a digging date prediction. We are currently developing a web platform for the tool on the PeanutFARM site. TOOL #4: Proposed disease prediction tool. Utilizing the weather based data that is collected on PeanutFARM, Dr. Dufault's team will implement several disease index tools that will provide growers with disease risk indices for white mold and leaf spots during the growing season.

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