Cotton - Southeast AgNET

Cotton News

Closer Look at the Cotton Report

September 24, 2026

Cotton Market Updates

September 22, 2026

Cotton and Peanut Research Field Day Upcoming

August 27, 2026

2025 Georgia Quality Cotton Award Winners Announced

How Eli Whitney’s Cotton Gin Revolutionized American Agriculture

USDA Releases 2026 Cotton Acreage Estimates

Georgia Cotton Commission Annual Meeting Scheduled for July 29

More Cattle Stories

Cotton’s Early Roots in America: From Columbus to the Cotton Gin

No Margin for Error with June-Planted Cotton

Georgia Cotton Commission Welcomes USDA’s Great American Cotton Plan

Tyler Harper Reacts to the USDA’s Great American Cotton Plan

USDA Launches Great American Cotton Plan

A Look At Cotton in the Southeast

GCC Seeking Potential Nominees for Cotton Organization Leadership Positions

USDA Releases Final Cotton Report For 2025

A Look at US Ag Exports

Drought Condition Overview Impacting Southern Crops

Find more cotton news in our archives!

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FL Cattle Enhancement Board Wraps up Funding Year

Florida Cattle Enhancement Board Awarded Researcher Discusses New World Screwworm Overview

Verdant Robotics Offers Growers Targeted Application of Herbicides or Beneficials through SharpShooter™

Florida Cattle Enhancement Board Provides Resources To Researchers For Applied Research

USDA to Fund Florida Fertilizer Manufacturing Project
A Florida fertilizer manufacturing project will be one of eight to receive funding through the U.S. Department of Agriculture’s (USDA) Fertilizer Investment & Expansion for Long-Term Domestic Supply (FIELDS) Program. The selected projects represent more than $1.34 billion in total proposed investment, including approximately $573 million in proposed USDA funding. The FIELDS Program is intended […]
AI Model Shows Promise for Early HLB Detection
An artificial intelligence (AI) model developed by researchers in China has shown promise for detecting HLB in leaves before visible symptoms appear. The technology could eventually give citrus growers another tool for earlier disease detection and more targeted grove monitoring. The study combined three types of information: standard color photographs, hyperspectral imaging and measurements of […]