SBIR/STTR Research Award

Cotton Picker Spindle Rotate & Replace System and Service

Award identifier fdaddc0550c319bd46db0b5e575e7170581a22b96e1ad69a8266fe0ef5b38fe2Awarding agency Department of Agriculture

Award amount

$174,134

Program and phase

STTR · Phase I

Award year

2025

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Award details

Awarding agency
Department of Agriculture
Branch
Not reported
Recipient company
Realize Ascent LLC
Proposal award date
2025-08-12
Contract end date
2026-08-14
UEI
XRKSL1PXTHU9
Solicitation number
USDA-NIFA-SBIR-010774
Topic code
8.13

Research abstract

Cotton harvesting is a critical part of U.S. agriculture, contributing billions of dollars to the economy and supporting thousands of farming families. However, one hidden challenge in this process is spindle wear on cotton pickers, which significantly affects harvesting efficiency and crop yield. Spindles are the small, rotating components in cotton pickers that extract cotton from plants, but as they wear down over time, they become less effective--leading to yield loss, higher maintenance costs, and unnecessary machine downtime. Farmers often rely on guesswork to determine when to replace worn spindles, leading to either premature replacement (wasting money) or delayed replacement (losing cotton in the field). This inefficiency adds unnecessary costs to farm operations, reduces profitability, and contributes to material waste, impacting both the agricultural economy and the environment. Our research seeks to solve this issue by developing a reliable, science-based method to measure spindle wear and predict when replacement is necessary, helping farmers make informed decisions and maximize cotton yield.To achieve this, the project will establish a data-driven system to analyze spindle wear using advanced imaging technology and field trials. We will collect spindles from working cotton pickers, measure their wear patterns using high-precision scanning tools, and compare that data with real-world cotton yield results. By studying how spindle wear progresses over time, we will create a predictive model that shows exactly when worn spindles start causing cotton losses in the field. Additionally, we will develop a farmer-friendly tool that integrates this data into an easy-to-use decision-making system, allowing farmers to track spindle wear and make timely, cost-effective maintenance decisions. Our research will also collect insights directly from farmers through surveys to understand how different farm conditions affect spindle performance.The ultimate goal of this project is to help cotton farmers improve efficiency, reduce costs, and prevent unnecessary crop losses. If successful, this research could save millions of dollars annually for farmers by optimizing spindle replacement schedules, reducing wasted cotton, and extending the life of machinery. Additionally, by preventing the overuse of worn spindles, this project could help reduce material waste in agricultural equipment and support more efficient farming practices. In the long run, this research could lead to standardized industry guidelines for spindle maintenance, benefiting not just farmers but also equipment manufacturers, agricultural extension programs, and policymakers looking to improve efficiency in U.S. cotton production. By taking a scientific approach to a problem that has historically been left to guesswork, this project has the potential to bring lasting economic and environmental benefits to the cotton industry and beyond.

Technology keywords

Not reported

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Agency intelligence

Department of Agriculture

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