Agriculture

The North Carolina State Climate Office works closely with NC State Extension and the larger N.C. Cooperative Extension System to provide science-based climate resources to our agricultural partners across the state. Examples of outputs of these collaborations include outreach on North Carolina’s climate and climate change impacts (check out this climate change deep-dive webinar series), online tools that integrate climate data for various agricultural applications and decisions, and original research.

Browse our recent activity reports to see what we’ve been up to!


Pre-and Within-Season Decision Support Tools

Cover Crop Conference at the Center for Environmental Farming Systems at Cherry Research Farm outside Goldsboro, NC.

Climate Dashboard for NC Corn Growers

NEW! Explore seasonal predictions for corn development based on forecasted and historic temperature data

Fruit Collection

Chill Models for North Carolina

View chilling hour accumulations and predictions for various fruit models

Tobacco Thrips Flight and TSWV Intensity Predictor

Estimate seasonal insect vector and disease incidence in tobacco and view guidance on pesticide application

Cotton Boll and Leaf

Cotton Planting Conditions Calculator

Estimate the suitability of forecasted weather conditions for planting cotton

Cotton Boll and Leaf

Cotton Thrips Infestation Predictor

Estimate end-of-season thrips infestation in cotton based on planting date and historical weather data

Example map with spray condition favorability.

ECONet Inversion Monitoring Tool

Guide to help determine favorable spray conditions using the NC ECONet.

Map of wet bulb globe temperature estimates across NC ECONet sites.

ECONet Wet Bulb Globe Temperature Map

Monitor potential heat stress conditions across the NC ECONet

Longer-Term and Climate Change Decision Support Tools

PINEMAP Image

PINEMAP DSS

View climate-based future risks and opportunities for loblolly pine forests in the Southeast US

Climate Voyager Icon

Climate Voyager

Investigate projected changes in climate variables using data from a suite of downscaled global climate models