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Informational Documents

Info Docs

The U.S. Cotton Trust Protocol Grower Enrollment Questionnaire

Info Docs

The U.S. Cotton Trust Protocol Cotton Principles and Criteria

Info Docs

The U.S. Cotton Trust Protocol’s Verification Process

Member Benefits

Media

Media

From Dirt to Data: The Art and Science Behind Trust Protocol Cotton Production

Media

Continuous Improvement with the U.S. Cotton Trust Protocol®

Media

UN Sustainable Development Goals and the U.S. Cotton Trust Protocol

Research

Research

The State of Sustainability Research: Impacts of COVID-19 on Sustainability

Articles

Articles

Healthy Soil is the Basis of Our Growers’ Livelihoods

Insights

Industry Resources

Industry

Maximizing Weed Suppression with Cover Crops in Cotton Production

Industry

Transformers Foundation – Cotton: A Case Study in Misinformation

Industry

What cotton growers should ask–and why–when it comes to carbon

Industry

2016 Life Cycle Inventory & Life Cycle Assessment of Cotton Fiber & Fabric

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Deepika Mishra

Standards and Data Lead (consultant)

Deepika Mishra is the Standards and Data Lead for the U.S. Cotton Trust Protocol, acting as a consultant for the program. As an accomplished scientist and data analytics specialist, Deepika leads on analysis of the Trust Protocol’s environmental metrics. She collaborates extensively with agricultural research institutions, conservation groups, and food and trade organizations, playing a vital role in the establishment of sustainability and social standards within the industry.

Deepika earned her Ph.D. in plant and soil science from Texas Tech University, specializing in cotton breeding and genetics. With over a decade of experience, she has spearheaded diverse agricultural projects in both India and the United States, covering crops like cotton, cowpeas, castor, sesame, guar, guayule, tomato, and field pennycress (cover crop). Her contributions also include the development and release of multiple cowpea varieties in India during her M.S. studies in vegetable breeding and genetics.