AI-Powered Precision Agriculture: IoT Corn Breeding Tech

Publication ID: 24-11856909_0003_PTD
Published: October 26, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “AI-Powered Precision Agriculture: IoT Corn Breeding Tech,” Published Technical Disclosure No. 24-11856909_0003_PTD, Published October 26, 2025, available at https://archive.pr1or.art/24-11856909_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. 11,856,909.

Background and Problem Solved

The original patent relates to the field of corn breeding, specifically the hybrid corn variety CH011205. While this invention provides desirable traits such as greater yield and better stalks, it has limitations in terms of real-time monitoring, autonomous farming, and personalized crop recommendations. The present invention addresses these limitations by integrating the patented hybrid corn variety with IoT-based monitoring systems, AI-powered computer vision, blockchain-based ledgers, and novel biodegradable polymer matrices.

Novelty and Inventive Step

The invention's novelty lies in the synergistic combination of the patented hybrid corn variety with distinct technologies such as IoT, AI, blockchain, and novel materials. The inventive step is the integration of these technologies to create a more powerful system for optimizing crop yields, predicting corn yield, and enhancing plant growth, which is not obvious from the original patent.

Alternative Embodiments and Variations

Alternative embodiments of the invention include integrating the hybrid corn variety with other sensing technologies such as drones or satellite imaging, using different machine learning algorithms for predicting corn yield, or incorporating additional genetic markers into the blockchain-based ledger. Variations of the invention could include using different types of biodegradable polymer matrices or incorporating additional nutrients into the plant growth medium.

Potential Commercial Applications and Market

The invention has significant commercial potential in the agricultural industry, particularly in the areas of precision farming, crop insurance, and farm management software. The target market includes farmers, agricultural companies, and organizations involved in crop research and development.

CPC Classifications

SectionClassGroup
A A01 A01H6/4684
A A01 A01H5/10

Field of Art

Agricultural biotechnology, specifically corn breeding and precision agriculture technologies, involving genetic engineering, crop management systems, and advanced agricultural monitoring techniques

Person of Ordinary Skill (PHOSITA) Profile

A professional with a PhD or Masters in agricultural science, plant genetics, or agricultural engineering, with expertise in crop breeding, IoT technologies, data analytics, and machine learning applications in agriculture

Obviousness Rationale

A PHOSITA would recognize that integrating modern digital technologies with established hybrid corn varieties represents a predictable and logical extension of existing agricultural innovation. The combination of genetic materials with IoT, AI, and data analytics represents a natural progression in precision agriculture. The disclosed variations demonstrate standard technological integration techniques commonly applied in modern agricultural research and development.

Obvious Combinations & Variations

Source Patent Element
Hybrid corn variety CH011205 with specific genetic characteristics
PTD Variation
IoT-based monitoring system tracking soil conditions for the hybrid corn variety
Obviousness Reasoning
Integrating sensor technologies with specific crop varieties is a known technique for precision agriculture, representing a predictable application of existing monitoring technologies to optimize crop management
Source Patent Element
Genetic markers and breeding methodology from source patent
PTD Variation
Blockchain-based ledger tracking genetic markers and environmental conditions
Obviousness Reasoning
Using distributed ledger technologies to track agricultural data is a standard approach in modern agricultural informatics, representing a routine combination of genetic information management techniques
Source Patent Element
Plant seed growth media described in original patent
PTD Variation
Biodegradable polymer matrix with micronutrient release mechanisms
Obviousness Reasoning
Developing advanced growth media with controlled nutrient release is a predictable innovation in agricultural materials science, representing an obvious extension of existing seed cultivation technologies
Source Patent Element
Hybrid corn variety with specific genetic characteristics
PTD Variation
AI-powered drone monitoring system for crop stress detection
Obviousness Reasoning
Applying autonomous monitoring technologies to specific crop varieties represents a standard approach in precision agriculture, utilizing known computer vision and machine learning techniques
Source Patent Element
Genetic breeding methodology for corn variety
PTD Variation
Neural network-based decision support system for personalized crop recommendations
Obviousness Reasoning
Developing machine learning algorithms to generate agricultural recommendations is a predictable application of data analytics to existing genetic and environmental information
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11856909 and the disclosed technological variations, a person having ordinary skill in the art would find the claimed innovations obvious and non-patentable. The combination of hybrid corn genetics with IoT, AI, blockchain, and advanced materials technologies represents a routine and predictable extension of existing agricultural research methodologies, thereby rendering subsequent claims obvious under 35 U.S.C. Section 103.

Original Patent Information

Patent NumberUS 11,856,909
TitlePlants and seeds of hybrid corn variety CH011205
Assignee(s)MONSANTO TECHNOLOGY LLC