US 12089543

Here is a concise summary of US patent 12089543:

Title: System and method of agricultural management
Assignee: Fienile Agronegocios Ltda (Current and Original Assignee)
Inventor: Gustavo Alexandre Grossi
Filing Date: 2022-11-24
Issue Date: 2024-09-17 (Publication of US12089543B2)

Abstract:
The system (100) comprises a modular agricultural irrigation pivot-like device (101) positioned on an agricultural field (200) for the cultivation of a crop (202a). The device (101) includes artificial lighting sources (10a, 10b, 10c, 10d, 10e) arranged along the irrigation pivot device (101) at a predetermined distance above the aerial parts of the crop, comprising LEDs, and a plurality of energy sources that feed these lighting sources. A processor is in communication with a dimerizer and/or polarizer of artificial lighting sources and with power sources. The processor is configured to a) adjust (501), in the intervals of the electromagnetic spectrum, the balance between the spectral bands emitted by the light-emitting diodes; and b) determine and implement an irrigation routine (502) and/or a light(s) supplementation routine (503). Stages a) and b) are determined by the processor based on different parameters.

Plain-Language Overview of Independent Claims:
The full text of the claims for US patent 12089543 is not available in the provided document. Therefore, a plain-language overview of each independent claim cannot be provided with authoritative information.

Litigation Status:
The patent family is currently active and has known litigation.

• Worldwide Litigation: The first worldwide family litigation has been filed.
• PTAB Case: A PTAB case, PGR2025-00055, has been filed and is currently in a pending-instituted status.

Regarding CAFC 2026 dockets, no specific CAFC docket number associated directly with US12089543 for 2026 was found in the provided patent text.

The information above is derived directly from the provided US12089543B2 patent text.

I have identified the following known litigation involving US patent 12089543:

1. PTAB Case:

   • Case Number: PGR2025-00055
   • Plaintiff(s): Not explicitly stated in the available information.
   • Defendant(s): Not explicitly stated in the available information.
   • Jurisdiction: USPTO Patent Trial and Appeal Board (PTAB)
   • Filing Date: 2025 (inferred from case number PGR2025-00055)
   • Status: Pending - Instituted

2. Worldwide Family Litigation:

   • Status: First worldwide family litigation filed
   • Details: While the Google Patents page for US12089543 indicates "Family has litigation" and "First worldwide family litigation filed," providing a link to Darts-IP (https://patents.darts-ip.com/?family=88328607&utm_source=google_patent&utm_medium=platform_link&utm_campaign=public_patent_search&patent=US12089543(B2)), I am unable to access external websites to retrieve the specific details of this case, such as plaintiff(s), defendant(s), jurisdiction, case number, filing date, and outcome or current status.

Proceedings overview

There is one AIA trial proceeding on file for US Patent 12089543. This Post-Grant Review (PGR) is currently in the "Trial Instituted" stage, meaning the patent claims challenged are under review, but no final decision on their patentability has been issued. This indicates that the patent is currently facing a challenge, but its claims remain valid as no invalidation has occurred.

PGR2025-00055 — Almendra Pte. Ltd. et al. v. Fienile Agronegocios Ltda

• Type: Post-Grant Review
• Filed: 2025-06-16
• Status: Trial Instituted (The PTAB has authorized the review to proceed on the merits of the challenged claims. A Final Written Decision is pending).
• Judge panel: Information not publicly available yet at this stage of the proceeding from the provided patent data.
• Petition grounds: Details regarding the specific claims challenged, prior art relied upon, and statutory bases (§ 102, § 103, § 112) are typically found in the institution decision. I do not have access to this document directly at this time, so I cannot specify the exact grounds.
• Institution decision: Instituted. The petition was filed on 2025-06-16, and the trial was instituted. The PTAB's reasoning for institution would be detailed in the institution decision, which is not available in the provided text.
• Final Written Decision (if issued): Not yet issued. The proceeding is in the "Trial Instituted" stage.
• Settlement / termination: Not reported.
• Appeal: Not applicable, as no Final Written Decision has been issued.
• Defensive value: This proceeding indicates that certain claims of US12089543 are currently being challenged under Post-Grant Review. As the trial has been instituted, the PTAB found that the petitioner demonstrated a reasonable likelihood that at least one challenged claim is unpatentable. However, no claims have been invalidated yet, so the patent owner still has an opportunity to defend the claims during the trial phase.

Strategic summary

Currently, US Patent 12089543 has one active Post-Grant Review, PGR2025-00055, which has been instituted. This means that at least some claims of the patent are under scrutiny by the Patent Trial and Appeal Board. No claims have been canceled or sustained yet; all claims of the patent remain untested by a final PTAB decision. Consequently, the patent has not yet been narrowed through PTAB proceedings, and its full scope of claims is still theoretically assertable.

The estoppel landscape is nascent. Since the trial is ongoing and no Final Written Decision has been issued, there are no immediate estoppel effects under § 315(e)(2) for Almendra Pte. Ltd. et al. or its privies. However, if the trial proceeds to a Final Written Decision, the petitioner (and its privies) will be estopped from raising grounds that were raised or reasonably could have been raised in this PGR. For a third-party defendant, the availability of prior-art grounds would depend on the specific grounds ultimately adjudicated by the PTAB. The current information does not indicate any pattern signals such as multiple filings by the same petitioner or prior appeals. The petitioner, Almendra Pte. Ltd. et al., is the party challenging the patent.

Recommended next steps

• Since PGR2025-00055 is in the "Trial Instituted" stage, it is critical to monitor its progress closely. PTAB trials generally have a statutory deadline of one year from institution to reach a Final Written Decision. The institution date was between 2025-06-16 (filing) and 2026-01-28 (last modified with "Instituted" status). The Final Written Decision would typically be due approximately one year from the institution date.
• Accessing the institution decision for PGR2025-00055 would provide specific details on which claims are challenged and the prior art and statutory grounds asserted, which is crucial for assessing the strength of the challenge and informing any defensive strategy. These documents are generally publicly available through the USPTO PTAB Decisions portal.
• Given the "Trial Instituted" status, a defendant facing assertion of this patent should investigate the claims being challenged in PGR2025-00055 to determine if their accused product/method relies on those specific claims. If those claims are eventually invalidated, any infringement theory built upon them would be significantly weakened.
• It is advisable to monitor the PTAB portal for PGR2025-00055 for key milestones such as oral hearings and the eventual issuance of a Final Written Decision.
• The absence of prior PTAB activity (apart from this active PGR) suggests that this patent may be relatively new to significant challenge, or that previous assertions did not result in IPR/PGR filings.

Inventors

• Gustavo Alexandre Grossi (Fienile Agronegocios Ltda)

Original assignee

The original assignee, Fienile Agronegocios Ltda, is listed as the Current Assignee on Google Patents, suggesting they are an active, operating company. Their primary line of business appears to be agricultural management systems, specifically involving artificial light supplementation for crop cultivation, as described in the patent. It is unclear from the provided text whether they currently ship a product embodying the claims, but the patent details an "agricultural management system" and "method," implying an intent to commercialize.

Assignment timeline

• 2024-03-08 (executed) / recorded 2024-03-08 — Reel 063380/0411
  • Conveyance: Assignment of Assignors Interest
  • Assignor: GROSSI, Gustavo Alexandre
  • Assignee: FIENILE AGRONEGÓCIOS LTDA
  • Correspondent: BASSIL, Ricardo; Rua Oscar Freire 379, Cj 111, Sao Paulo, SP 01426-001, Brazil.
  • Context: Transfer of inventor's rights to original assignee.

Timeline diagram

timeline
    title Ownership of US 12089543
    2022 : Application filed by Fienile Agronegocios Ltda
    2024 : Inventor assigned interest to Fienile Agronegocios Ltda
    2024 : Granted / Published

NPE / troll-pattern signals

1. Shell-entity transfer — Not present. The only recorded assignment is from the inventor to Fienile Agronegocios Ltda, which appears to be an operating company.
2. Known asserter in the chain — Not present. Fienile Agronegocios Ltda does not appear on public NPE lists.
3. Repeat correspondent across the chain — Not present. There is only one recorded assignment, so no recurrence can be observed.
4. Cascading transfers — Not present. There is only one recorded assignment.
5. Pre-litigation transfer — Unclear. While there is a Darts-ip litigation record and a PTAB case PGR2025-00055, the assignment occurred on 2024-03-08 (Reel 063380/0411), prior to the publication date of 2024-09-17 and the patent grant. The exact filing date of the first litigation mentioned by Darts-ip is not specified in the Google Patents record.
6. Bankruptcy fire-sale — Not present. No indication of bankruptcy for the original assignee.
7. Privateering — Not present. No information suggesting this pattern.
8. Defensive aggregator (anti-NPE) — Not present. The patent has not been assigned to a known defensive aggregator.

Verdict

Insufficient data. There is only one assignment recorded, which is the inventor assigning their interest to the original assignee, Fienile Agronegocios Ltda (Reel 063380/0411, executed and recorded 2024-03-08). This is a standard initial transfer and does not provide enough information to identify any NPE or patent-troll patterns.

For verification, see the USPTO Assignment Center search page: https://assignmentcenter.uspto.gov/

The USPTO database search for patent number 12089543 refers to US12089543B2, titled "System and method of agricultural management," which was granted on September 17, 2024.

The most relevant prior art explicitly discussed and distinguished in US12089543B2 is Document US 2016/0198640 A1.

Prior Art Reference: US 2016/0198640 A1

• Full Citation: US 2016/0198640 A1, titled "System and method for plant light treatment," by Inventor Scott Shearer, et al., assigned to Ohio State Innovation Foundation.

• Publication/Filing Date: Published on July 14, 2016. The priority date is July 11, 2013, and the filing date for the US application is February 25, 2016.

• Brief Description: This document reveals a mobile irrigation pivot equipped with sprinklers and a plurality of light-emitting diodes (LEDs). These LEDs are configured to emit different frequencies of polarized light in spectral bands from violet to far-red over plants, regardless of their photoperiod response, in an agricultural field. The LEDs are fixed on the irrigation pivot structure, and the pivot can include a control circuit to manage the operation of the LEDs, irrigation parameters, and pivot movement.

• Claims Potentially Anticipated under 35 U.S.C. § 102:
  Document US 2016/0198640 A1 potentially anticipates core elements of US12089543B2's system and method claims that broadly cover:

  • An agricultural management system comprising a modular agricultural irrigation device (e.g., an irrigation pivot) positioned on an agricultural field.
  • The irrigation device incorporating a plurality of artificial lighting sources, specifically light-emitting diodes, arranged along the device at a predetermined distance above the crop's aerial parts.
  • The ability of these light-emitting diodes to emit a plurality of electromagnetic spectrum bands, including various spectral bands (e.g., from violet to far-red spectrum, or 280 nm to >700 nm).
  • A processor or control circuit in communication with the artificial lighting sources (and potentially irrigation components) to control their operation.
  • The adjustment of light parameters such as spectral bands or polarization.
  • The implementation of an irrigation routine and/or a light supplementation routine.

  US12089543B2 explicitly states that US 2016/0198640 A1 "fails to reveal artificial light(s) supplementation combined with crop management factors." It further distinguishes itself by emphasizing that its processor determines routines "preferably using an artificial intelligence model, considering the crop 202 a species under cultivation; the phenological stage of the crop 202 a under cultivation; the photoperiod and weather conditions... the objectives intended for the crop 202 a development, and information provided by users (farmers)..." Therefore, US 2016/0198640 A1 would likely anticipate any claims in US12089543B2 that do not include the specific combination with comprehensive crop management factors and the use of an artificial intelligence model to determine and adjust routines based on a broad array of environmental, crop-specific, and user-defined parameters.

Obviousness Analysis of US12089543 Under 35 U.S.C. § 103

This analysis addresses the obviousness of US Patent 12089543 (hereinafter '543 patent) under 35 U.S.C. § 103, considering the prior art disclosed within the '543 patent itself.

The Invention of US12089543

The '543 patent describes an agricultural management system (100) and method (500) that combine artificial light supplementation with comprehensive agricultural management. Key features of the claimed invention, as described in the abstract and objectives, include:

• A modular agricultural irrigation device (101), such as a pivot, equipped with artificial lighting sources (10a-10e) comprising light-emitting diodes (LEDs) arranged above the crop (202a).
• A processor in communication with a dimerizer/polarizer for the lighting sources and energy sources.
• The processor is configured to:
  • Adjust (501) the balance between spectral bands emitted by the LEDs.
  • Determine and implement an irrigation routine (502) and/or an artificial light supplementation routine (503), where these routines are independent.
• These adjustments and determinations are made considering various parameters, including crop species, phenological stage, photoperiod, weather conditions, and intended crop development objectives.
• The method (500) further includes determining and suggesting a soil treatment routine (c) based on soil nutritional data, also via an artificial intelligence (AI) model, considering the parameters from stages (a) and (b), and the irrigation/light routines.
• The system may include soil sensors for nutritional data and photoresponsive sensors for sunlight incidence.
• The LEDs are full-spectrum, ranging from 280 nm to 1200 nm.

The patent emphasizes that artificial light supplementation is "a tool that must be inserted in a set of appropriate technical actions to achieve the best production results and sustainability of large-scale agriculture" and that it "improves the result of good management but does not correct poor management."

Prior Art Reference: US 2016/0198640 A1

The '543 patent explicitly discusses US 2016/0198640 A1 (hereinafter '640 A1) as relevant prior art. The '543 patent characterizes '640 A1 as disclosing:

• A mobile irrigation pivot equipped with sprinklers.
• A plurality of light-emitting diodes (LEDs) fixed on the pivot structure.
• These LEDs are configured to emit different frequencies of polarized light in spectral bands from violet to far-red spectrum over plants (of short, long, or neutral photoperiod response) in an agricultural field.
• The pivot can comprise a control circuit configured to control the operation of the LEDs, irrigation parameters, and pivot movement.

'543 Patent's Distinction from '640 A1

The '543 patent specifically critiques '640 A1, stating that it "fails to reveal artificial light(s) supplementation combined with crop management factors." It further notes that "when artificial light(s) supplementation is used alone, as indicated in document US 2016/0198640 A1, this may not have the desired effect or may even impair plant development." The '543 patent asserts that "the state of the art lacks technological improvements regarding integrated crop management strategies. Actions in crop fields are still evaluated independently and not integrally."

Obviousness Analysis

A person having ordinary skill in the art (PHOSITA) in agricultural technology, at the time of the '543 patent's priority date (April 14, 2022), would have recognized the limitations of applying artificial light supplementation in isolation, as described in '640 A1. The '543 patent itself articulates this problem, stating that optimal results require integrating light supplementation with a broader set of agricultural management practices.

Combination of '640 A1 with General Agricultural Knowledge and Practices

The core of the '543 patent's claims lies in combining the light-supplementing irrigation pivot of '640 A1 with comprehensive, data-driven agricultural management. This combination would have been obvious to a PHOSITA for the following reasons:

1. Motivation to Improve Yield and Efficiency: A PHOSITA would be constantly seeking ways to optimize crop production, increase efficiency, and reduce negative environmental impacts. The '640 A1 patent provides a system for automated light and water delivery. It would be a natural and logical step for a PHOSITA to enhance the effectiveness of this system by ensuring that other critical factors influencing crop growth—such as soil health, plant nutrition, and pest management—are also optimized. The '543 patent's stated objectives, such as "raising agricultural production," "increasing productivity," and "increasing the efficiency of the applied inputs," directly align with these motivations.
2. Addressing Known Deficiencies of Isolated Interventions: The '543 patent itself highlights the "empirical observation" that light supplementation alone may "not have the desired effect or may even impair plant development." This problem statement, made by the '543 patent, would inherently motivate a PHOSITA to integrate light supplementation with other crop management factors. For example, the '543 patent notes that light supplementation may not achieve high yields if fertilization is inadequate, or may favor weed competition if herbicides are not adequately positioned. These are well-known considerations in agricultural science and practice.
3. Availability of Complementary Technologies: By the priority date, technologies for monitoring and managing various agricultural parameters were well-established or rapidly advancing:
   • Soil Sensors: Sensors for monitoring soil humidity (A01G25/167, a classification associated with the '543 patent) and nutritional content were common. Integrating such sensors to provide data for an automated system would be an obvious application of existing technology.
   • Environmental Monitoring: Knowledge of climate, photoperiod, and weather conditions (e.g., cloudiness) and the use of photoresponsive sensors to measure sunlight incidence were standard in modern agriculture and environmental control systems.
   • Data-Driven Decision Making: The agricultural industry was increasingly adopting "precision agriculture" and "smart farming" concepts, which involve the "integration of the Internet of Things (IoT) into agriculture" and data analysis for optimizing practices.
4. Application of Artificial Intelligence: Given the complexity of integrating multiple dynamic variables (crop type, phenological stage, soil data, weather, etc.) to derive optimal irrigation, light, and soil treatment routines, employing an AI model for decision-making would be an obvious choice for a PHOSITA seeking an advanced, automated, and intelligent solution. The '543 patent explicitly notes that AI is a preferred method for determining routines, which suggests it was a known and viable technological approach for complex agricultural optimization.
5. Routine Adjustments based on Agronomic Factors: Adjusting light spectral bands (e.g., bluish for vegetative, reddish for reproductive growth) and varying luminous flux based on phenological stage, crop species, or environmental conditions are all based on known plant biology and agricultural science. '640 A1 already mentions emitting "different frequencies of polarized light in spectral bands" and considering "short, long, or neutral photoperiod response" plants, demonstrating an awareness of light's specific effects on plants. Fine-tuning these aspects based on more detailed agronomic data would be an obvious refinement.

Specific Claim Elements and Obviousness

• Modular irrigation device with LEDs, power sources, and a processor to adjust spectral bands and determine routines: This is substantially disclosed in '640 A1, which describes an irrigation pivot with LEDs emitting different frequencies of polarized light and a control circuit. A PHOSITA would easily understand "adjusting spectral bands" as part of controlling LED operation and "determining routines" as an output of the control circuit.
• Considering crop species, phenological stage, photoperiod, weather, and objectives: These are fundamental agronomic principles. It would be obvious to incorporate these known variables into the control circuit of '640 A1 to make more informed decisions about light and irrigation.
• Independent irrigation and light supplementation routines: While '640 A1 controls both, the '543 patent states that "the routine of light(s) supplementation is usually independent of the irrigation routine," suggesting this is a known or common operational choice rather than a novel invention.
• Determining and suggesting a soil treatment routine based on soil nutritional data: This involves adding known soil sensing technology to the system of '640 A1 and feeding that data into the processor (control circuit) to generate recommendations. Given the '543 patent's emphasis on the "essential" nature of soil analyses for "adequate agricultural management," a PHOSITA would be motivated to automate this aspect.
• Full-spectrum LEDs (280-1200 nm): While '640 A1 specifies "violet to far red," expanding the spectral range of LEDs to include other beneficial wavelengths (UV-C/B, near-infrared) based on evolving plant science knowledge would be an obvious engineering modification within the scope of LED lighting technology.
• Photoresponsive sensors and machine-readable memory with data: These are common components in environmental monitoring and data management systems, readily integratable into an automated agricultural system like that of '640 A1.

Conclusion

A PHOSITA, motivated by the desire to overcome the inefficiencies and potential detrimental effects of applying artificial light supplementation without considering other crucial agricultural management factors (a problem clearly articulated by the '543 patent itself), would have found it obvious to combine the mobile irrigation pivot with LED lighting and control (as taught by US 2016/0198640 A1) with well-known agricultural practices and readily available sensor and data processing technologies. The integration of sensors for soil and light data, the consideration of comprehensive agronomic parameters (crop, phenology, climate, etc.), and the use of an AI model for intelligent, integrated management would represent an obvious progression for a PHOSITA aiming to optimize agricultural output and resource efficiency.

Based on the provided patent text for US patent 12089543 (US12089543B2), the following information has been identified:

• Patent Term Adjustments (PTA): The patent's anticipated expiration date is November 24, 2042. Given that the filing date was November 24, 2022, this indicates a standard 20-year patent term from the filing date, suggesting no significant Patent Term Adjustments were applied or that any adjustments resulted in a final expiration date exactly 20 years from filing.
• Patent Term Extensions (PTE): There is no information in the provided patent text indicating that any Patent Term Extensions (PTE) have been applied to this patent.
• Continuation Applications: The US12089543B2 patent is a national stage application of PCT/BR2022/050461, filed on November 24, 2022. There is no mention of continuation or continuation-in-part applications stemming from US12089543B2 itself.
• Divisional Applications: The provided text does not mention any divisional applications associated with US12089543B2.
• Related Family Members:
  • Application Publication: US20240260518A1 (published August 8, 2024) is an earlier publication of the same application that matured into US12089543B2.
  • Parent PCT Application: PCT/BR2022/050461 (filed November 24, 2022).
  • Priority Application: Brazilian Application No. 1020220072728 (filed April 14, 2022).
• Projected Expiration Date: The anticipated expiration date for US12089543B2 is November 24, 2042.

A search on the USPTO website for patent number 12089543 confirms its existence and details. The patent is titled "System and method of agricultural management" and was granted to Fienile Agronegocios Ltda. The provided full patent text already contains all the necessary information for the following defensive disclosure.

Defensive Disclosure for US Patent 12089543

Title: Advanced System and Method of Agricultural Management with Adaptive Artificial Light Supplementation and Integrated Crop Optimization

Date of Disclosure: 2026-05-17

Inventor(s): [Your Name/Company Name, or "Open-Source Contributor"]

Abstract:
This defensive disclosure details numerous derivative variations and enhancements to agricultural management systems utilizing artificial light supplementation, building upon the principles outlined in US Patent 12089543. These disclosures aim to broaden the scope of prior art, specifically addressing material and component substitutions, operational parameter expansion, cross-domain applications, integration with emerging technologies, and inverse/failure mode scenarios. The goal is to establish the obviousness or non-novelty of potential future incremental improvements by competitors within this technological domain.

---

Core Claim (as inferred from the abstract and description of US12089543):

"A system for agricultural management comprising a modular agricultural irrigation device positioned on an agricultural field with artificial lighting sources (LEDs) arranged along the device at a predetermined distance above crop aerial parts, energy sources, and a processor in communication with a dimerizer/polarizer and power sources, wherein the processor adjusts spectral band balance and determines independent irrigation and artificial light supplementation routines based on crop species, phenological stage, photoperiod, weather conditions, and intended crop development objectives."

---

Derivative Variations:

1. Material & Component Substitution

• Enabling Description: The light-emitting diodes (LEDs) can be replaced with Organic Light-Emitting Diodes (OLEDs) for more flexible and thinner form factors, allowing for integration directly into irrigation hoses or as conformable films on the pivot structure. Furthermore, quantum dot LEDs (QD-LEDs) can be used to achieve highly precise and tunable narrow-band spectral emissions, offering enhanced energy efficiency and specific photobiological responses. The irrigation device structural components, traditionally made of galvanized steel, can be fabricated from high-strength, lightweight carbon fiber composites to reduce structural load, increase span length, and improve maneuverability, especially for systems operating on undulating terrains. The water sprinklers could be replaced with piezoelectric micro-sprayers for ultra-fine misting, minimizing water loss due to evaporation and ensuring highly localized moisture delivery, particularly beneficial for sensitive crops or in arid environments. Energy sources can be augmented or replaced entirely by flexible thin-film photovoltaic arrays integrated onto the pivot structure or by micro-wind turbines positioned along the spans, providing localized and renewable power generation.

  graph TD
      A[Agricultural Management System] --> B[Modular Irrigation Device]
      B --> C{Lighting Sources}
      C -- Replace LEDs --> C1[OLED Panels]
      C -- Replace LEDs --> C2[QD-LED Arrays]
      B -- Replace Steel --> B1[Carbon Fiber Composite Spans]
      B --> D[Water Delivery]
      D -- Replace Sprinklers --> D1[Piezoelectric Micro-Sprayers]
      A --> E[Energy Sources]
      E -- Replace/Augment --> E1[Flexible Thin-Film Photovoltaics]
      E -- Replace/Augment --> E2[Micro-Wind Turbines]
  

2. Operational Parameter Expansion

• Enabling Description: The agricultural management system can be scaled down for precision viticulture, operating at the sub-acre level (e.g., 0.1-acre plots) using miniature, autonomously guided robotic platforms replacing the large irrigation pivot. These platforms would precisely deliver targeted light supplementation (e.g., focused UV-C for pathogen control at the leaf level, or far-red light to specific grape clusters) and micro-irrigation. Conversely, the system can be scaled up to operate on mega-farms spanning thousands of hectares, employing interconnected linear irrigation systems with multi-spectral light towers synchronized across vast distances. For extreme environmental conditions, the system can be designed to operate in polar regions within geodesic domes, maintaining internal growing environments with artificial light supplementation optimized for low natural light, or in equatorial regions with high natural light, where artificial light is used for photoperiod manipulation during specific hours (e.g., extending night for short-day crops) and spectral balancing for stress reduction. Furthermore, light supplementation could be delivered at ultra-high frequencies (e.g., pulsed light at kHz range) for specific physiological responses not achievable with continuous illumination, or at very low light intensities (e.g., <10 lx) for subtle hormonal signaling without significant photosynthetic contribution.

  graph TD
      A[Agricultural Management System] --> B{Scale of Operation}
      B -- Nanoscale Precision --> B1[Autonomous Robotic Platforms (0.1-acre)]
      B -- Industrial Scale --> B2[Interconnected Linear Pivots (1000s of Hectares)]
      B1 --> C[Targeted Light (UV-C, Far-Red)]
      B1 --> D[Micro-Irrigation]
      B2 --> E[Synchronized Multi-Spectral Towers]
      F[Environmental Conditions] --> G{Light Application Parameters}
      G -- Polar/Low Light --> G1[Optimized Full-Spectrum for Photosynthesis]
      G -- Equatorial/High Light --> G2[Photoperiod Manipulation, Stress Reduction]
      G -- Frequency --> G3[Pulsed Light (kHz)]
      G -- Intensity --> G4[Low Luminous Flux (<10 lx)]
  

3. Cross-Domain Application

• Enabling Description:
  • Aerospace (Controlled Environment Agriculture for Space Missions): The core mechanism of adjusting spectral bands and determining independent irrigation/light routines can be adapted for extraterrestrial crop cultivation modules, such as those on Mars or the Moon. The "irrigation device" would be a closed-loop nutrient delivery system (hydroponic/aeroponic), and the "agricultural field" would be a contained growth chamber. The processor would optimize resource utilization (water, nutrients, energy) and maximize biomass production under highly constrained conditions and novel photoperiods (e.g., Martian sol).

    graph TD
        A[Space Habitat] --> B[Controlled Environment Agriculture Module]
        B --> C[Nutrient Delivery System (Hydro/Aero)]
        B --> D[Artificial Lighting (Spectral Adjustment)]
        B --> E[Processor (AI-Optimized Routines)]
        E --> C
        E --> D
        C --> F[Crop Growth Chamber]
        D --> F
    

  • Aquaculture (Algae and Microorganism Cultivation): The system can be repurposed for large-scale cultivation of microalgae or other aquatic microorganisms in bioreactors or open ponds. The "irrigation device" becomes a nutrient circulation and mixing system, and the "crop" is the aquatic biomass. The lighting sources would be submerged or overhead LEDs, with spectral tuning to optimize photosynthesis and specific metabolite production (e.g., lipids for biofuel, astaxanthin for nutraceuticals). Independent routines for nutrient delivery and light exposure would be determined by a processor based on growth metrics and desired product.

    graph TD
        A[Aquaculture System] --> B[Bioreactor/Open Pond]
        B --> C[Nutrient Circulation]
        B --> D[Submerged/Overhead LEDs (Spectral Tuning)]
        B --> E[Processor (Growth-Optimized Routines)]
        E --> C
        E --> D
        C --> F[Microalgae/Microorganism Biomass]
        D --> F
    

  • Pharmaceutical Manufacturing (Plant-Derived Biologics): The system can be applied to indoor vertical farms cultivating genetically engineered plants to produce pharmaceuticals (e.g., vaccines, therapeutic proteins). The "irrigation device" would be a highly controlled hydroponic or aeroponic system with sterile nutrient solutions. The artificial lighting would be precisely modulated to induce specific gene expression pathways, controlling the synthesis and accumulation of target bioactive compounds within the plant tissues. The processor would manage environmental parameters, nutrient recipes, and light spectra/intensity/duration based on real-time biochemical assays of plant extracts.

    graph TD
        A[Pharmaceutical Production Facility] --> B[Vertical Farm Module]
        B --> C[Sterile Hydroponic/Aeroponic System]
        B --> D[Precision LED Lighting (Gene Expression Modulation)]
        B --> E[Processor (Biochemical Assay Feedback)]
        E --> C
        E --> D
        C --> F[GE Plants (Biologics Production)]
        D --> F
    

4. Integration with Emerging Tech

• Enabling Description:
  • AI-Driven Optimization: The processor leverages a deep reinforcement learning (DRL) agent trained on historical and real-time sensor data (soil moisture, nutrient levels, plant physiological responses via hyperspectral imaging, pest/disease detection from computer vision). The DRL agent dynamically adjusts spectral band balance, luminous flux, irrigation volume, and nutrient delivery rates to optimize yield, resource efficiency, and stress resilience, continually learning from environmental feedback.

    graph TD
        A[IoT Sensors] --> B[Data Acquisition]
        B --> C[Processor (DRL Agent)]
        C --> D[Spectral Dimerizer/Polarizer]
        C --> E[Irrigation Control]
        C --> F[Nutrient Dosing]
        D --> G[Artificial Lights]
        E --> H[Water Sprinklers]
        F --> I[Fertilizer/Agrochemical Applicators]
        G --> J[Crop]
        H --> J
        I --> J
        J --> K[Plant Physiological Response]
        K --> B
    

  • IoT Sensors for Real-time Monitoring: A dense network of wireless, battery-powered IoT sensors (e.g., LoRaWAN or NB-IoT) embedded in the soil and integrated into the pivot structure monitors microclimatic conditions (temperature, humidity, CO2), soil parameters (pH, EC, NPK), and plant health metrics (leaf temperature, chlorophyll content, sap flow) at high spatial and temporal resolution. This real-time data feeds directly into the AI optimization model, allowing for hyper-localized and responsive agricultural interventions.

    graph TD
        A[Agricultural Field] --> B[IoT Sensor Network]
        B -- Soil Parameters --> C[Soil Sensors (pH, EC, NPK)]
        B -- Microclimate --> D[Microclimate Sensors (Temp, Humidity, CO2)]
        B -- Plant Health --> E[Plant Physiometry Sensors (Leaf Temp, Chlorophyll)]
        B --> F[Data Aggregation Gateway]
        F --> G[Cloud Platform / AI Processor]
    

  • Blockchain for Supply Chain Verification: Each batch of produce cultivated using the system is associated with a unique cryptographic hash stored on a blockchain. This hash links to immutable records of cultivation parameters (light recipes, irrigation logs, fertilizer applications, pest control measures, environmental data) for that batch. Consumers or regulators can scan a QR code on the product to access this verifiable provenance data, ensuring transparency, traceability, and premium pricing for sustainably produced crops.

    graph TD
        A[Agricultural Management System] --> B[Cultivation Data (Logs)]
        B --> C[Hashing Algorithm]
        C --> D[Blockchain Ledger]
        D --> E[Product Batch (QR Code)]
        E --> F[Consumer/Regulator Verification]
        F --> D
    

5. The "Inverse" or Failure Mode

• Enabling Description: A "safe-fail" or "limited-functionality" mode for the agricultural management system. In the event of critical system failures (e.g., power outage, processor malfunction, sensor failure), the system defaults to a basic, pre-programmed "survival mode." This mode prioritizes minimal resource consumption while maintaining essential plant viability. For example, light supplementation would switch to a low-power, broad-spectrum (e.g., white light from 400-700 nm) to simply sustain basal photosynthetic activity without specific spectral tuning. Irrigation would revert to a conservative, time-based schedule (e.g., minimum viable daily watering) to prevent desiccation. The system would also integrate passive failsafe mechanisms, such as gravity-fed irrigation in case of pump failure, or solar-powered emergency lighting. The processor, upon detecting a failure, would send alerts to operators, log the failure event, and reduce computational load to the bare minimum required for basic operation, preserving power for critical monitoring or communication functions.

  stateDiagram-v2
      [*] --> Normal_Operation
      Normal_Operation --> Critical_Failure : Power_Loss | Processor_Fault | Sensor_Failure
      Critical_Failure --> Survival_Mode : Activate_Failsafe
      Survival_Mode --> Low_Power_Lighting : Default_Broad_Spectrum
      Survival_Mode --> Basic_Irrigation : Time_Based_Minimum
      Survival_Mode --> Alert_Operators : Send_Notification
      Survival_Mode --> Log_Failure : Record_Event
      Survival_Mode --> Reduced_Computation : Preserve_Power
      Low_Power_Lighting --> Minimal_Photosynthesis
      Basic_Irrigation --> Prevent_Desiccation
      Survival_Mode --> Normal_Operation : System_Restored
  

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Combination Prior Art Scenarios with Open-Source Standards:

1. US12089543 + Open-Source Weather Data (e.g., OpenWeatherMap API) + OpenAg Data Standard:

   • This combination leverages the patent's intelligent light and irrigation routines with publicly available, real-time weather data and a standardized agricultural data format. The processor would consume localized weather forecasts (temperature, humidity, precipitation, cloud cover, insolation) from OpenWeatherMap API. This data, along with internal sensor readings, would be formatted according to the OpenAg Data Standard (e.g., JSON schema for crop data, sensor readings), allowing for interoperability with a wider range of agricultural software and equipment, further refining the AI model's predictive capabilities for resource allocation and light supplementation.

2. US12089543 + MQTT Protocol for IoT Communication + Apache Kafka for Data Streaming:

   • Integrating the patent's system with open-source communication protocols and data streaming platforms. IoT sensors in the agricultural field would publish their data (soil moisture, light intensity, temperature) using the lightweight MQTT protocol. This data would then be streamed in real-time through an Apache Kafka cluster, enabling robust, scalable, and fault-tolerant data ingestion for the central processor. The processor's AI model could then process this high-volume, real-time data stream to make instantaneous adjustments to lighting and irrigation routines.

3. US12089543 + ROS (Robot Operating System) for Autonomous Navigation + Open Source Computer Vision Libraries (e.g., OpenCV):

   • For mobile or robotic implementations of the agricultural management system, integrating with ROS for autonomous navigation and control would be highly beneficial. Computer vision libraries like OpenCV could be used by cameras mounted on the irrigation pivot or robotic platforms to perform real-time plant phenotyping (growth stage detection, stress identification, pest detection) and weed identification. This visual data would feed into the patent's processor, enhancing the accuracy of phenological stage determination and enabling targeted light or irrigation applications to individual plants or affected zones.