Published Technical Disclosure Archive

AI-Driven Pest Management System for Agriculture

Publication ID: 24-11856951_0003_PTD
Published: October 26, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “AI-Driven Pest Management System for Agriculture,” Published Technical Disclosure No. 24-11856951_0003_PTD, Published October 26, 2025, available at https://archive.pr1or.art/24-11856951_0003_PTD
This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,856,951.

Background and Problem Solved

The original patent, 'Method for managing resistance to insecticidal traits and chemicals using pheromones', addressed the growing issue of insect resistance in modern agriculture. However, it had limitations in terms of scalability, data management, and integration with other technologies. The new invention builds upon this foundation by incorporating cutting-edge technologies to create a more powerful and efficient system.

Novelty and Inventive Step

The new claims introduce a synergistic combination of pheromone-based mating disruption with AI, IoT, blockchain, and advanced materials, which provides a significant improvement over the original patent. The integration of these technologies enables a more efficient, scalable, and sustainable pest management system that addresses the limitations of the original patent.

Alternative Embodiments and Variations

Alternative embodiments of the invention could include the use of different AI algorithms, IoT sensor configurations, or blockchain platforms. The system could also be adapted for use in various agricultural settings, such as greenhouses or vertical farming. Additionally, the nanoparticle-based delivery system could be replaced with other advanced materials or technologies.

Potential Commercial Applications and Market

The Synergistic Pest Management System has significant commercial potential in the agricultural industry, particularly in the areas of precision agriculture, integrated pest management, and sustainable farming practices. The system could be marketed to farmers, agricultural companies, and governments seeking to improve crop yields and reduce environmental impact.

CPC Classifications

SectionClassGroup
A A01 A01N37/02

Field of Art

Agricultural pest management, biotechnology, and integrated pest control systems with a focus on insect resistance management strategies

Person of Ordinary Skill (PHOSITA) Profile

A professional with advanced degrees in agricultural engineering, entomology, or biotechnology, possessing expertise in genetic engineering, pest control technologies, and agricultural systems design

Obviousness Rationale

A PHOSITA would recognize that the PTD's integration of AI, IoT, and blockchain technologies represents a predictable extension of existing pest resistance management strategies disclosed in the source patent. The fundamental approach of managing insect resistance through refuge systems and mating disruption remains consistent, with the PTD merely applying contemporary digital technologies to enhance monitoring and implementation. These technological additions would be viewed as routine optimization of existing pest management methodologies.

Obvious Combinations & Variations

Source Patent Element
Field plot system with transgenic insecticidal traits and refuge areas
PTD Variation
AI-powered monitoring module to detect insect populations and predict resistance emergence
Obviousness Reasoning
Predictable application of machine learning techniques to existing pest management systems, representing a known technique for improving data-driven agricultural decision making
Source Patent Element
Mating disruption methods for managing insect populations
PTD Variation
Blockchain-based data storage and smart contract incentive systems for pest management strategies
Obviousness Reasoning
Routine implementation of distributed ledger technologies to track and incentivize agricultural practices, representing an obvious technological upgrade
Source Patent Element
Chemical and genetic approaches to insect resistance management
PTD Variation
Nanoparticle-based delivery systems for enhancing mating disruption agent efficacy
Obviousness Reasoning
Known materials science approach to improving drug/agent delivery, representing a predictable enhancement of existing pest control methodologies
Source Patent Element
Refuge area configurations in field plot systems
PTD Variation
Machine learning and 3D printing modules for optimizing refuge design and placement
Obviousness Reasoning
Obvious application of computational design and advanced manufacturing techniques to agricultural system optimization
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11856951 and the disclosed technological variations, a person of ordinary skill in the art would find the claimed innovations obvious and lacking inventive step. The integration of AI, IoT, blockchain, and advanced materials represents a predictable combination of known technologies applied to existing pest resistance management strategies, thereby rendering subsequent claims obvious and anticipating potential patent applications in this technical domain.

Original Patent Information

Patent NumberUS 11,856,951
TitleMethod for managing resistance to insecticidal traits and chemicals using pheromones
Assignee(s)PROVIVI, INC.