Tap directly into the extensive research library of Cotton Incorporated. Here, you can filter your results by category, sort them by date and select your preferred media type to streamline the resources you see.
The National Cotton Ginners recommends these safe tie-down procedures for transporting round modules.
NOAA maps out predicted precipitation that aid growers in planning irrigation, herbicide applications, harvests and more. Access forecasts for the next 6 hours or next three days.
The Cotton Info App is a collection of reference materials specially designed for growers, consultants and extension workers who may not have good cellular connectivity. All materials are stored on the user’s iPad. (An Android tablet version is also available.)
The Cotton Loan Calculator is designed to assist in the evaluation of variety trials. It derives loan values by applying USDA premiums and discounts to sets of HVI classing data. The program is updated each year.
Learn about and gain access to the USCrop Software. It allows users to view HVI properties of USDA classed cotton and search for bales using user-defined parameters.
USDA National Agricultural Statistics Service releases national and state-level data for cotton including acreage, ginning, monthly marketing, prices, production and value.
This resource library covers fertility information for a number of crops, including macro- and micronutrients, application and management suggestions. This site is sponsored by Mosaic, a fertilizer manufacturer.
The site highlights many of the positive efforts the cotton industry is making to continuously adopt more sustainable practices.
The Cotton LEADS(SM) program promotes the environmentally and socially responsible practices of U.S. cotton farmers by telling the story to brands and retailers around the world.
This software from Cotton Incorporated provides options to create Electronic Data Interchange (EDI) files from three different input file types. The EDI files can then be sent to cotton mills.
COTMAN is a crop information system that uses monitoring techniques to summarize crop development status, detect stress and assist with in-season management decisions.
Non-herbicide, autonomous, mechanical weed control will be a critical component in future integrated weed management programs. This literature review surveys the progress made over the last decade (2010-2020) in weed management robotics.