Advanced Hybrid Corn AI Precision Agriculture Solution
Legal Citation
Background and Problem Solved
The original patent for hybrid corn variety CH011013 has limitations in terms of yield, disease resistance, and environmental adaptability. The present invention addresses these limitations by introducing advanced machine learning algorithms, autonomous precision farming, vertical integration, bioreactor systems, genetic engineering platforms, and decentralized tracking platforms to create a more efficient, sustainable, and resilient agricultural ecosystem.
Novelty and Inventive Step
The invention's novelty lies in the integration of advanced machine learning, autonomous precision farming, vertical integration, bioreactor systems, genetic engineering platforms, and decentralized tracking platforms to create a holistic, next-generation agricultural ecosystem. The inventive step is the synergistic combination of these components to achieve unprecedented yields, disease resistance, and environmental adaptability in hybrid corn variety CH011013.
Alternative Embodiments and Variations
Alternative embodiments may include the use of other machine learning algorithms, different vertical integration methods, or various bioreactor designs. Variations may also include the application of these technologies to other crop varieties or agricultural sectors.
Potential Commercial Applications and Market
The invention has significant commercial potential in the agricultural industry, particularly in the areas of precision farming, vertical farming, biotechnology, and supply chain management. The target market includes large-scale agricultural producers, biotechnology companies, and companies involved in agricultural logistics and supply chain management.
CPC Classifications
| Section | Class | Group |
|---|---|---|
| A | A01 | A01H6/4684 |
| A | A01 | A01H5/10 |
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Agricultural biotechnology, specifically corn breeding and genetic engineering, with expertise in plant genetics, precision agriculture, and advanced cultivation techniques
Person of Ordinary Skill (PHOSITA) Profile
A professional with a PhD in plant genetics or agricultural sciences, familiar with machine learning applications in crop optimization, CRISPR gene editing, vertical farming technologies, and blockchain tracking systems for agricultural products
Obviousness Rationale
A PHOSITA would recognize that the PTD's proposed technological enhancements represent predictable extensions of existing agricultural innovation strategies applied specifically to the CH011013 corn variety. The disclosed machine learning, vertical farming, and genetic engineering approaches are well-established techniques in agricultural biotechnology that would naturally be considered for improving crop performance. The systematic integration of these technologies represents an obvious progression of known methods to enhance agricultural productivity.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,856,911 |
|---|---|
| Title | Plants and seeds of hybrid corn variety CH011013 |
| Assignee(s) | MONSANTO TECHNOLOGY LLC |