Precision Yield Control: Advanced Agricultural Innovation
Legal Citation
Background and Problem Solved
The original patent disclosed methods for manipulating yield of plants and identifying yield genes, primarily focusing on long day and short day growing conditions. However, these methods are limited by their reliance on manual control and lack of real-time monitoring. The present invention addresses these limitations by introducing a holistic approach to precision yield control, leveraging advanced technologies to maximize yields while reducing environmental stressors.
Novelty and Inventive Step
The present invention's novelty lies in its integration of advanced technologies, such as machine learning, sensor networks, and precision agriculture, to create a holistic approach to precision yield control. The inventive step resides in the combination of these technologies to achieve unprecedented yields while minimizing environmental impact, thereby overcoming the limitations of the original patent.
Alternative Embodiments and Variations
Alternative embodiments of the invention may include variations in sensor types, machine learning algorithms, and nutrient delivery systems. Additionally, the invention could be adapted for use in different crop types, such as corn or wheat, or integrated with existing agricultural systems.
Potential Commercial Applications and Market
The present invention has significant commercial potential in the agricultural industry, enabling farmers to increase yields while reducing environmental impact. The market for precision agriculture is projected to grow significantly in the coming years, driven by increasing demand for sustainable and efficient farming practices. The invention's applications extend to various industries, including seed production, crop protection, and agricultural technology.
CPC Classifications
| Section | Class | Group |
|---|---|---|
| A | A01 | A01H3/02 |
| A | A01 | A01H5/10 |
| A | A01 | A01H6/542 |
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Agricultural biotechnology and plant breeding, focusing on yield enhancement techniques for short-day crops like soybeans, with expertise in plant genetics, environmental manipulation, and precision agriculture technologies
Person of Ordinary Skill (PHOSITA) Profile
A skilled practitioner with advanced degrees in plant science or agricultural engineering, familiar with genetic modification techniques, environmental control systems, and data-driven crop optimization strategies
Obviousness Rationale
A person of ordinary skill would recognize that the PTD's machine learning and sensor-based yield optimization represents a predictable technological extension of the source patent's foundational work on plant yield manipulation. The core principles of environmental condition control and yield enhancement are directly aligned, with the PTD merely introducing standard technological augmentations to the original yield improvement methodology. The systematic approach to plant growth optimization follows logically from the source patent's detailed environmental and genetic yield manipulation techniques.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,856,903 |
|---|---|
| Title | Methods for manipulating yield of plants and identifying yield genes |
| Assignee(s) | MONSANTO TECHNOLOGY LLC |