The global agricultural sector is under immense pressure to increase yields, improve quality, and reduce costs amidst rising labor expenses and climate change impacts. Consumers increasingly demand consistent, high-quality produce, while growers struggle with skilled labor scarcity. This technology offers a practical, low-cost solution to standardize critical farming processes, enabling greater resilience and competitiveness for agricultural businesses worldwide.
Enables High-Precision Thinning by Non-Skilled Workers: Allows objective determination of optimal fruit size using circular gauges, ensuring consistent thinning quality without reliance on expert intuition.
Boosts Work Efficiency by up to 2x: Facilitates rapid size determination, potentially reducing fruit thinning time by up to 50% compared to traditional manual methods, significantly enhancing labor productivity.
Minimizes Initial Investment: Its simple sheet structure drastically reduces implementation costs compared to expensive AI vision systems, allowing easy integration into existing agricultural workflows.
This patent protects a fruit measurement sheet and method, characterized by its simple, gauge-based design for objective fruit size determination. The rapid grant process and minimal prior art citations indicate strong novelty and inventiveness, establishing a robust and stable intellectual property right with low invalidation risk.
This patent primarily covers physical measurement tools for fruit thinning. White space exists in integrating this concept with automated post-harvest sorting systems or developing smart, sensor-embedded sheets for real-time data collection.
Implementing this technology could improve thinning efficiency by 20% for 5 workers, each with an annual labor cost of $20,000 (AI est.), resulting in ~$20,000/year (AI est.) in labor cost savings. Additionally, revenue improvements from reduced sorting losses could be ~$50,000/year (AI est.), and increased fruit unit prices due to standardized quality could add ~$50,000/year (AI est.). This totals an estimated annual economic impact of ~$120,000 (AI est.) per facility.
X: Ease of Implementation
Y: Reduced Skill Dependency