Intelligent Pheromone Resistance Management System
Legal Citation
Background and Problem Solved
The original patent disclosed methods for managing resistance to transgenic insecticidal traits and/or chemical insecticides using pheromones. However, these methods were limited by their reliance on static refuge designs and lack of real-time monitoring and adaptation. The present invention addresses these limitations by introducing a network of sensors, data analytics, and autonomous dispenser systems to optimize pheromone release patterns and delay resistance emergence.
Novelty and Inventive Step
The present invention introduces a novel combination of real-time data analytics, machine learning, and autonomous dispenser systems to optimize pheromone release patterns and delay resistance emergence. This represents a significant departure from the static refuge designs and manual pheromone application methods disclosed in the original patent.
Alternative Embodiments and Variations
Alternative embodiments of the invention could include the use of different types of sensors, such as acoustic or optical sensors, or the integration of additional data sources, such as weather or soil moisture data. Variations of the invention could also include the use of different pheromone blends or release patterns, or the deployment of the system in different agricultural settings, such as greenhouses or vertical farms.
Potential Commercial Applications and Market
The Intelligent Pheromone-Based Resistance Management System has significant commercial potential in the agricultural industry, particularly in the areas of pest control and crop protection. The system could be marketed to farmers, agricultural cooperatives, and crop protection companies, offering a more effective and sustainable solution for managing resistance to insecticidal traits and chemicals.
CPC Classifications
| Section | Class | Group |
|---|---|---|
| A | A01 | A01N37/02 |
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Agricultural pest management, specifically insect resistance control technologies involving pheromone-based strategies and data-driven pest population management systems
Person of Ordinary Skill (PHOSITA) Profile
A professional with expertise in agricultural entomology, chemical ecology, data analytics, and precision agriculture technologies, typically holding a graduate degree in agricultural sciences or related engineering disciplines
Obviousness Rationale
A PHOSITA would recognize that integrating machine learning, real-time sensor networks, and autonomous pheromone dispensing represents a predictable technological evolution of existing resistance management strategies disclosed in the source patent. The core technical problem of delaying insect resistance remains consistent, with the PTD offering a more sophisticated implementation of known conceptual approaches. The systematic application of data analytics to optimize pheromone release patterns would be a natural progression for those skilled in the art seeking more precise resistance management techniques.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,856,951 |
|---|---|
| Title | Method for managing resistance to insecticidal traits and chemicals using pheromones |
| Assignee(s) | PROVIVI, INC. |