Published Technical Disclosure Archive

AI-Powered Soybean Cultivation Optimization System

Publication ID: 24-11856916_0008_PTD
Published: October 26, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “AI-Powered Soybean Cultivation Optimization System,” Published Technical Disclosure No. 24-11856916_0008_PTD, Published October 26, 2025, available at https://archive.pr1or.art/24-11856916_0008_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. 11,856,916.

Background and Problem Solved

The original patent, Soybean cultivar 06380605, provides a new and distinctive soybean cultivar. However, the patent does not address the challenges of optimizing soybean cultivation, such as tracking and analyzing environmental conditions, predicting optimal planting and harvesting times, and monitoring and responding to abiotic stress. The present invention addresses these limitations by integrating distinct technologies to create a more powerful system.

Novelty and Inventive Step

The integration of blockchain, AI, IoT, and 3D printing technologies to optimize soybean cultivation is novel and non-obvious compared to the original patent. The use of machine learning algorithms to analyze data from various sources and provide real-time recommendations for optimal farming practices is a significant inventive step.

Alternative Embodiments and Variations

Alternative embodiments of the invention could include integrating other distinct technologies, such as robotics or advanced materials, to further enhance soybean cultivation. Variations of the system could be tailored to specific regions or climates, or adapted for use with other crops.

Potential Commercial Applications and Market

The Soybean Cultivation Optimization System has significant commercial potential in the agricultural industry, particularly in regions where soybean cultivation is a major crop. The system's ability to enhance yields and reduce environmental impact makes it an attractive solution for farmers, agricultural companies, and governments seeking to improve food security and sustainability.

CPC Classifications

SectionClassGroup
A A01 A01H6/542
A A01 A01H5/10

Field of Art

Agricultural biotechnology and precision farming, focusing on soybean cultivation, genetic engineering, and advanced agricultural technologies with expertise in plant breeding, sensor networks, and data-driven agricultural optimization

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with advanced degrees in agricultural science, biotechnology, or engineering, possessing knowledge of genetic modification, machine learning applications in agriculture, IoT sensor technologies, and data analysis techniques

Obviousness Rationale

A person having ordinary skill in the art would recognize that integrating emerging technologies like blockchain, machine learning, and IoT sensors with existing agricultural practices represents a predictable and logical extension of known technological convergence strategies. The PTD's proposed system combines well-understood technologies in a manner that would be apparent to a skilled practitioner seeking to optimize soybean cultivation. The technical variations represent incremental improvements using standard engineering approaches to agricultural data collection and analysis.

Obvious Combinations & Variations

Source Patent Element
Soybean cultivar breeding method involving genetic selection and analysis
PTD Variation
Machine learning algorithm for identifying optimal breeding strategies through genetic algorithm integration
Obviousness Reasoning
Applying machine learning to existing breeding methodologies represents a predictable application of known computational techniques to improve genetic selection processes
Source Patent Element
Plant germplasm development process
PTD Variation
IoT-enabled sensor network for real-time monitoring of environmental conditions affecting plant growth
Obviousness Reasoning
Implementing sensor technologies to gather data during plant development is a known technique for improving agricultural research and breeding processes
Source Patent Element
Soybean plant cell and tissue culture techniques
PTD Variation
3D printing system for creating customized planters with integrated environmental monitoring capabilities
Obviousness Reasoning
Combining additive manufacturing with agricultural monitoring represents a straightforward technological integration using standard engineering design approaches
Source Patent Element
Genetic tracking and analysis of soybean cultivars
PTD Variation
Blockchain-based data storage and verification system for tracking agricultural practices and genetic lineages
Obviousness Reasoning
Utilizing blockchain for data integrity and tracking is a predictable application of distributed ledger technologies to existing record-keeping methodologies
Source Patent Element
Plant breeding method involving cross-breeding and genetic analysis
PTD Variation
AI-driven decision support system analyzing satellite and drone-collected data for crop management
Obviousness Reasoning
Implementing computational analysis techniques to support agricultural decision-making represents an obvious extension of existing data-driven research methodologies
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11856916 and the technological context of soybean cultivation, the proposed technical variations would be considered obvious to a person having ordinary skill in the art. The integration of machine learning, IoT sensors, blockchain, and computational analysis techniques represents a predictable combination of known technologies applied to agricultural optimization, thereby rendering potential patent claims obvious and anticipating future technological developments in precision farming.

Original Patent Information

Patent NumberUS 11,856,916
TitleSoybean cultivar 06380605
Assignee(s)M.S. Technologies, L.L.C.