The global agricultural sector faces immense pressure to increase yields sustainably while battling climate change and labor shortages. Demand for precision agriculture solutions is surging, driven by the need for resource efficiency, reduced environmental footprint, and enhanced profitability. This technology directly supports these trends by enabling data-driven decision-making and automation, crucial for future food systems.
Enables precise soil condition assessment by linking soil plasticity limit and particle size distribution with location data, establishing a foundation for enhanced productivity.
Automates operational optimization by integrating agricultural machinery data with soil properties, providing optimal work plans and settings for each plot, reducing reliance on skilled labor.
Optimizes resource allocation by reducing excessive fertilizer and pesticide use, potentially cutting material costs by ~20% and lowering environmental impact.
This patent establishes robust protection for a support device and soil estimation device, covering a diverse set of 10 claims. Its patentability was secured through precise amendments and arguments in response to examiner feedback, indicating a strong, low-invalidation-risk right. This provides a solid foundation for licensees to confidently develop their business.
This patent primarily covers soil property estimation and agricultural machinery support. White space exists in developing advanced AI models for predictive crop yield based on soil data, or integrating with drone-based sensing for broader environmental monitoring.
Implementing this technology could enable precise soil management, leading to material cost reductions through optimized fertilizer and pesticide use. For example, a 20% reduction in an annual fertilizer cost of ~$67K (AI est.) saves ~$13.5K (AI est.), a 15% reduction in an annual pesticide cost of ~$33.5K (AI est.) saves ~$5K (AI est.), and a 10% reduction in annual labor costs of ~$100K (AI est.) saves ~$10K (AI est.). This totals an estimated direct cost reduction of ~$28.5K/year (AI est.). For large-scale agricultural corporations, this effect could multiply, potentially yielding over ~$150K/year (AI est.) in economic benefits. Further economic advantages could arise from increased sales due to enhanced productivity.
X: High-Precision Soil Data Analysis
Y: Ease of Agricultural Machinery Integration