Adaptive Automated Crop Production Systems

Publication ID: 24-11856902_0005_PTD
Published: October 26, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Adaptive Automated Crop Production Systems,” Published Technical Disclosure No. 24-11856902_0005_PTD, Published October 26, 2025, available at https://archive.pr1or.art/24-11856902_0005_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. 11,856,902.

Background and Problem Solved

The original patent disclosed facility layouts and configurations for automated crop production systems, but was limited by its focus on traditional, centralized approaches. This new invention addresses the need for more agile, adaptive, and sustainable agricultural systems that can respond to changing environmental conditions and market demands.

Novelty and Inventive Step

The new claims introduce a paradigm shift in agricultural production by combining autonomous drones, decentralized blockchain technology, and machine learning-based analytics to create a self-sustaining, vertically-integrated ecosystem. This approach is distinct from traditional, centralized agricultural systems and offers a significant improvement in terms of sustainability, adaptability, and efficiency.

Alternative Embodiments and Variations

Alternative embodiments of the invention could include the use of different types of drones or autonomous vehicles, alternative blockchain platforms, or variations on the machine learning-based analytics engine. The invention could also be adapted for use in different types of agricultural production, such as livestock or aquaculture.

Potential Commercial Applications and Market

The new invention has significant commercial potential in the agricultural technology sector, with potential applications in precision agriculture, vertical farming, and farm-to-table supply chains. The market for agricultural technology is expected to grow significantly in the coming years, driven by increasing demand for sustainable and efficient food production systems.

CPC Classifications

SectionClassGroup
A A01 A01G31/06
A A01 A01G31/045

Field of Art

Controlled Environment Agriculture (CEA), specifically automated vertical farming systems with robotic handling and processing of agricultural production

Person of Ordinary Skill (PHOSITA) Profile

A professional with expertise in agricultural engineering, robotics, automation systems, and crop production technologies, holding advanced degrees in agricultural science or engineering with working knowledge of modular facility design and autonomous agricultural systems

Obviousness Rationale

A PHOSITA would recognize that the PTD's proposed agricultural ecosystem represents a predictable technological progression from the source patent's automated controlled environment agriculture framework. The fundamental architectural and operational principles of modular, automated crop production are consistent between the source patent and PTD, with the PTD introducing incremental technological enhancements using standard engineering approaches. The integration of AI, blockchain, and autonomous systems represents a natural evolutionary step for agricultural production technologies that would be obvious to a skilled practitioner.

Obvious Combinations & Variations

Source Patent Element
Automated grow rooms with conveyance mechanisms and robotic handling of grow towers
PTD Variation
Autonomous drones and AI-controlled farming systems for crop monitoring and management
Obviousness Reasoning
Extending robotic handling to include autonomous drone technologies represents a predictable application of known robotics techniques to agricultural production, with a finite set of obvious implementation strategies
Source Patent Element
Centralized processing system with harvesting and post-harvest facilities
PTD Variation
Blockchain-based decentralized crop tracking and logistics management system
Obviousness Reasoning
Implementing distributed digital tracking systems is a known technique for improving supply chain transparency and represents an obvious technological enhancement to existing agricultural production methodologies
Source Patent Element
Vertical grow tower configuration with automated conveyance
PTD Variation
Modular, aerodynamic facility structure with integrated micro-satellite monitoring
Obviousness Reasoning
Adapting facility designs to incorporate advanced monitoring technologies is a predictable design choice that would be obvious to a PHOSITA seeking to optimize agricultural production systems
Source Patent Element
Automated laydown station with robotic tower manipulation
PTD Variation
Machine learning-based task allocation and optimization engine for agricultural robotics
Obviousness Reasoning
Implementing intelligent task allocation and optimization represents a standard engineering approach to improving robotic system performance, which would be obvious to a skilled practitioner
Source Patent Element
Controlled environment agricultural production facility
PTD Variation
Genome editing platform for targeted crop trait enhancement
Obviousness Reasoning
Integrating biotechnology techniques with controlled environment agriculture is a predictable technological progression that represents an obvious extension of existing crop production methodologies
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11856902 and the disclosed technological variations, a person having ordinary skill in the art would find the proposed agricultural ecosystem claims obvious and lacking in non-obvious inventive characteristics. The incremental technological enhancements represent predictable applications of known techniques within the field of controlled environment agriculture, thereby rendering such claims unpatentable under 35 U.S.C. Section 103.

Original Patent Information

Patent NumberUS 11,856,902
TitleProduction facility layouts for automated controlled environment agriculture
Assignee(s)MJNN LLC