3D-Printed Soybean Defoliation Estimation Tool

The Need: In the modern agricultural landscape, accurate and efficient estimation of soybean defoliation is crucial for farmers and agronomists to make informed decisions about crop health and maximize yields. Conventional methods for defoliation assessment are often time-consuming and subject to human error, leading to potential losses in productivity and profits. A technology that can rapidly estimate soybean defoliation is essential to address these challenges and ensure sustainable crop management.

The Technology: The 3D-Printed Soybean Defoliation Estimation Tool is a precision agriculture solution designed to revolutionize soybean defoliation assessment. This compact handheld device can easilly be used to accurately quantify defoliation levels in soybean crops.

Commercial Applications:

  • Farmers' Essential Tool: Empower farmers with a reliable and user-friendly device to regularly monitor soybean defoliation levels and make timely decisions to protect crop health.
  • Agronomists and Crop Consultants: Assist agronomists and consultants in conducting quick and precise defoliation assessments across multiple fields, enhancing their consulting services and recommendations.
  • Research and Development: Facilitate agricultural research by offering a standardized and efficient method for accurately quantifying defoliation, aiding in the development of improved crop management techniques.


  • Increased Productivity: Enable farmers to take proactive measures promptly, leading to better crop protection and improved overall yield.
  • Time and Cost Savings: Drastically reduce the time spent on manual defoliation estimation and lower the associated labor costs.
  • Precision and Accuracy: Ensure reliable and consistent defoliation measurements, minimizing human error and providing trustworthy data for decision-making.
  • Portable and Easy to Use: The handheld and user-friendly design makes it convenient for field use, allowing for quick assessments anywhere in the field.
  • Sustainability: By optimizing defoliation estimation, the technology supports sustainable agricultural practices, promoting resource conservation and reducing waste.

Loading icon