Climate-Resilient Agriculture Platform: AI Innovation

Publication ID: 24-11856914_0002_PTD

Published: October 26, 2025

Category:New Applications & Use Cases

Legal Citation

pr1or.art Inc., “Climate-Resilient Agriculture Platform: AI Innovation,” Published Technical Disclosure No. 24-11856914_0002_PTD, Published October 26, 2025, available at https://archive.pr1or.art/24-11856914_0002_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. 11,856,914.

Background and Problem Solved

The original patent, Soybean cultivar 01140108, addressed the need for improved soybean varieties. However, the increasing frequency and severity of climate-related events pose a significant threat to global food security. The present invention addresses this limitation by applying the core technology of the original patent to develop a climate-resilient agriculture platform, providing a comprehensive solution for the agriculture industry to adapt to climate change.

Novelty and Inventive Step

The novelty of the present invention lies in the application of the soybean cultivar 01140108 to climate-resilient agriculture, providing a unique combination of crop yield prediction, supply chain optimization, and urban agriculture development. The inventive step is the integration of machine learning algorithms with the soybean cultivar 01140108 growth data to create a comprehensive climate-resilient agriculture platform.

Alternative Embodiments and Variations

Alternative embodiments of the invention include using other crop varieties, integrating additional climate and soil data sources, and developing mobile applications for farmers and agricultural companies. Variations of the invention could include using the platform for other climate-related applications, such as climate-resilient infrastructure planning or climate change research.

Potential Commercial Applications and Market

The climate-resilient agriculture platform has significant commercial potential in the agriculture, insurance, and urban planning industries. The platform can be marketed as a software-as-a-service (SaaS) solution, providing a recurring revenue stream for the company. Additionally, the platform can be licensed to agricultural companies, governments, and urban planners, generating significant revenue opportunities.

CPC Classifications

Section	Class	Group
A	A01	A01H6/542
A	A01	A01H5/10

Section 103 Obviousness Analysis (PHOSITA)

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Field of Art

Agricultural biotechnology, plant breeding, and crop science, with expertise in soybean cultivar development, genetic modification, and agricultural data analytics

Person of Ordinary Skill (PHOSITA) Profile

A professional with advanced degree in plant genetics or agricultural science, familiar with machine learning applications in crop science, capable of integrating genetic data with predictive technologies

Obviousness Rationale

A PHOSITA would recognize that the machine learning and agricultural data analytics approach represents a natural extension of existing soybean cultivar research, applying standard computational techniques to enhance agricultural decision-making. The integration of crop genetic data with predictive modeling is a well-established approach in agricultural biotechnology. The disclosed variations represent predictable combinations of known techniques in crop science and data analytics.

Obvious Combinations & Variations

Source Patent Element

Soybean cultivar 01140108 with specific genetic characteristics

PTD Variation

Machine learning predictive system using cultivar growth data

Obviousness Reasoning

Applying computational analysis to genetic crop data is a standard technique in agricultural research, representing a predictable application of known data processing methods

Source Patent Element

Soybean plant breeding methodology

PTD Variation

Climate-resilient agricultural supply chain optimization system

Obviousness Reasoning

Extending crop research into supply chain management is a logical progression using standard data integration techniques familiar to agricultural scientists

Source Patent Element

Genetic characteristics of soybean cultivar

PTD Variation

Urban agriculture planning platform using crop yield predictions

Obviousness Reasoning

Translating agricultural research into urban planning applications represents a foreseeable extension of existing crop science knowledge

Source Patent Element

Soybean plant cell and tissue culture techniques

PTD Variation

Autonomous farm management system with sensor integration

Obviousness Reasoning

Integrating genetic data with sensor-based farm management is a predictable technological progression in precision agriculture

Source Patent Element

Soybean cultivar breeding method

PTD Variation

Climate-resilient agricultural insurance product methodology

Obviousness Reasoning

Applying crop genetic research to risk assessment and insurance modeling represents a standard approach in agricultural technology transfer

35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11856914 for soybean cultivar 01140108, the present publication demonstrates that the claimed variations in agricultural data analytics, supply chain optimization, and climate-resilient technology represent obvious extensions of existing plant breeding and agricultural research methodologies, thereby rendering subsequent similar claims obvious under 35 U.S.C. § 103.

Original Patent Information

Patent Number	US 11,856,914
Title	Soybean cultivar 01140108
Assignee(s)	MONSANTO TECHNOLOGY LLC, Stine Seed Farm, Inc.