Published Technical Disclosure Archive

Intelligent Agricultural Harvesting System: AI-Driven Precision

Publication ID: 24-11856890_0008_PTD
Published: October 26, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Intelligent Agricultural Harvesting System: AI-Driven Precision,” Published Technical Disclosure No. 24-11856890_0008_PTD, Published October 26, 2025, available at https://archive.pr1or.art/24-11856890_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. 11,856,890.

Background and Problem Solved

The original patent, Automated turn patterns in an agricultural harvester, provided a significant advancement in agricultural equipment. However, it was limited to controlling turns in an agricultural machine. The present invention addresses the need for a more comprehensive and integrated system that leverages multiple technologies to optimize harvesting strategies, reduce waste, and enhance supply chain management.

Novelty and Inventive Step

The invention's novelty lies in the synergistic combination of machine learning, IoT, blockchain, and new materials to create a more efficient, autonomous, and connected agricultural harvesting system. The inventive step is the integration of these distinct technologies to optimize harvesting strategies, reduce waste, and enhance supply chain management, which is not obvious from the original patent.

Alternative Embodiments and Variations

Alternative embodiments of the invention could include integrating additional technologies, such as artificial intelligence, robotics, or advanced materials, to further enhance the system's capabilities. Variations of the invention could include adapting the system for use in different agricultural contexts, such as livestock farming or greenhouse production.

Potential Commercial Applications and Market

The Intelligent Agricultural Harvesting System has significant commercial potential in the agricultural industry, particularly in precision agriculture, autonomous farming, and supply chain management. The system could be marketed to farmers, agricultural cooperatives, and suppliers, with potential applications in crop tracking, logistics, and waste reduction.

CPC Classifications

SectionClassGroup
A A01 A01D41/1278
G G05 G05D1/0212
G G05 G05D2201/0201

Field of Art

Agricultural machinery automation and precision farming systems, involving guidance technologies, machine control, and data-driven agricultural operations. Requires expertise in agricultural engineering, computer science, sensor systems, and control algorithms

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with a degree in agricultural engineering or computer science, familiar with GPS-guided agricultural machinery, machine learning techniques, IoT sensor integration, and automated control systems for harvesting equipment

Obviousness Rationale

A PHOSITA would recognize that extending the source patent's automated turn pattern system with machine learning, IoT, and blockchain technologies represents a predictable technological evolution. The core guidance and automation concepts from the original patent provide a clear foundation for integrating advanced data-driven techniques. The variations represent logical combinations of known technologies to enhance agricultural machinery performance and operational efficiency.

Obvious Combinations & Variations

Source Patent Element
Detecting turn patterns of an agricultural harvester using processor-based guidance systems
PTD Variation
Implementing machine learning models to predict and optimize turn patterns based on historical harvesting data
Obviousness Reasoning
Applying machine learning to existing guidance systems is a known technique for improving predictive performance, representing an obvious enhancement to existing agricultural automation technologies
Source Patent Element
Operator input for defining harvester turn patterns
PTD Variation
Utilizing IoT sensor networks to dynamically adjust turn patterns based on real-time crop and field conditions
Obviousness Reasoning
Replacing manual input with automated sensor-driven decision-making is a predictable technological progression in precision agriculture systems
Source Patent Element
Agricultural harvester control systems with path detection capabilities
PTD Variation
Integrating blockchain-based platforms for secure data sharing and collaborative agricultural management
Obviousness Reasoning
Extending control systems with distributed data management represents a logical technological integration using standard enterprise software architectures
Source Patent Element
Automated agricultural harvester guidance methods
PTD Variation
Implementing computer vision and AI-powered robotic systems for adaptive harvesting strategies
Obviousness Reasoning
Replacing traditional guidance systems with more sophisticated AI-driven approaches is an obvious technological evolution in agricultural automation
35 U.S.C. § 103 Summary: Based on US Patent 11856890's teachings of automated agricultural harvester guidance systems, the present publication demonstrates that the claimed variations would have been obvious to a person having ordinary skill in the art at the time of invention. The disclosed technological combinations represent predictable extensions of existing agricultural automation technologies, utilizing standard engineering techniques to integrate machine learning, IoT, and blockchain platforms into precision farming systems.

Original Patent Information

Patent NumberUS 11,856,890
TitleAutomated turn patterns in an agricultural harvester
Assignee(s)Deer & Company