Explore Similar Technologies

Biodegradable field-tested soil temperature sensor

LLNL researchers developed and field-tested a biodegradable soil temperature sensor device that can be used in industry-scale agriculture.  At the end...

Composite Meter-Class Monolithic Space Telescope

The approach is to use foundational materials science, structural design, thermal analysis, optic fabrication, and space systems engineering, and to...

Semiconductor Opening Switches with Pre-Pulses Elimination

LLNL developed a novel SOS diode structure starting with a n-type silicon wafer.  On the appropriate sides of the wafer, donor and acceptor dopants...

Method of Fabricating Silicon Carbide Nanoneedles

LLNL researchers have developed an approach to form silicon carbide (and diamond) nanoneedles using plasma etching that create micro pillars followed...

Low Optical Intensity OALVs

The approach is to use appropriately doped semi-insulating gallium nitride to provide a high damage tolerant photoconductor with high responsivity to...

Waveform averaging techniques for non-correlated noise in interleaved ADC sample cores

This LLNL invention introduces a technique for optimally detuning the ADC and signal clocks while maintaining synchronization between the two to...

Multi-spectral nondestructive characterization of in-shell tree nuts

Contact
Reference Number
IL-13749
Technical Overview

Walnut inspections are currently done by visual and manual inspection processes. Observing color and firmness of a sample is the state of the art today. This is a time consuming and labor-intensive process. Developing a low-cost process to scan walnuts for quality and safety can expedite the process.

Description

LLNL’s novel technology automates the inspection process by using a scanning system that captures data within the walnut shell without having to open the shell. The system output gives a visual image inside the walnut shell sufficient to evaluate and rate the quality of the walnut.  The system uses a camara and radar that can capture data at a rapid rate. This improves speed and reliability from fully manual inspections. The low-cost system can be accessible to farmers and government inspectors.

multi-spectral nondestructive characterization of in-shell tree nuts
Development Status

Current stage of technology development:  TRL 4-5

LLNL has filed for patent protection on this invention.

Advantages

The low-cost system allows farmers and inspectors to rapidly rate walnut quality and safety, but could be broadly applicable to the inspection of other agricultural products. This will allow farmers to assess the quality and value of their crops much faster than the current manual process. Markets prices are based on product quality. This system will allow farmers to sort their crops faster and determine the value of their crops much more efficiently.

This LLNL technology has numerous advantages over traditional manual inspections, such as:

  1. Rapid inspection
  2. Low-cost system evaluation
  3. Improved accuracy
  4. Digital records rather than paper records
Potential Applications
  • Automated Agricultural Crop Inspection for Food Quality
  • Automated Agricultural Inspection for Food Safety