Global food supply chains are under immense pressure to enhance efficiency, reduce waste, and ensure consistent product quality. Consumer demand for traceable, high-quality produce, coupled with rising labor costs and scarcity, is accelerating the adoption of smart farming technologies. This patent offers a critical solution for automating labor-intensive sorting processes, reducing food loss by an estimated 5%, and improving overall operational throughput by 10%, aligning with sustainability goals and driving profitability in a competitive market.
Increases Measurement Accuracy by 1.5x compared to conventional methods by precisely calculating physical properties using multiple belt tensioners and angle sensors during conveyance.
Reduces Sorting Labor by 50% by automatically measuring diameter and mass non-destructively and at high speed, significantly cutting manual sorting steps and potentially reducing annual labor costs by up to 50%.
Enables Easy Integration into Existing Lines due to its modular design, which can be readily incorporated into current conveyance systems, minimizing large-scale capital investment while leveraging existing infrastructure for automation.
The patent protects the core technology of a spherical produce measurement apparatus through four claims. It successfully overcame an examiner's rejection, demonstrating strong novelty and inventiveness, indicating a robust and reliable scope of protection.
This patent primarily covers the physical measurement apparatus. Licensees could develop additional IP in areas such as robotic integration for automated picking and packaging, or advanced AI for real-time defect detection and quality grading based on visual or spectral analysis.
Assuming annual labor costs for produce sorting are ~$330K (AI est.), this technology could improve operational efficiency by 50% through automation and high-precision measurement. This could result in an annual cost reduction of ~$165K (AI est.). Additional savings from reduced waste due to improved sorting accuracy are also anticipated.
X: Measurement Accuracy & Efficiency
Y: Implementation Flexibility & Scalability