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ARIDON AG R&D PORTFOLIO
Southwest Water-Secure Agriculture
Aridon AgFarm Intelligence
FIELD-FIRST AGRICULTURAL R&D

Make farms more water-secure, more measurable and more profitable.

A presentation-ready portfolio of ten Aridon research programs designed around Southwest water constraints, farm economics and the gap between promising technology and verified field performance.

See the five flagships View pilot design
ONE FARM OPERATING STACK

Five layers share one evidence trail.

Water

AWG, wells, rain, recycled water, treatment, storage

Root zone

Soil moisture, tension, crop stage and irrigation control

Energy

Grid, solar, battery, pumps and thermal resources

Economics

Margin, financing, insurance, labor and market scenarios

Evidence

Trials, provenance, validation and farmer-controlled data rights

FIVE FLAGSHIP PROGRAMS

Designed to be tested, not merely admired.

Each module has a problem statement, prototype architecture, research questions and measurable field endpoints. Hardware performance remains an engineering target until independent testing confirms it.

01 · SYSTEM PROTOTYPE

Aridon Water Independence System

One control layer for every available farm water source.

Farms often manage wells, tanks, rain capture, purchased water, treatment and irrigation as separate systems. That makes it difficult to optimize cost, quality, storage and resilience together.

PROTOTYPE ARCHITECTURE
  • Source inputs: well, rain capture, recycled water, brackish water, municipal water, AWG and storage
  • Quality inputs: conductivity, turbidity, temperature and treatment status
  • Resource inputs: water level, electricity price, weather, crop demand and storage capacity
  • Decision engine: use, treat, store, preserve or defer each source based on farm priorities
  • Owner view: Water Security Days, cost per usable gallon and source mix
R&D QUESTIONS
  • How much groundwater withdrawal can an integrated control strategy avoid?
  • What operating rules best balance water cost, energy cost and resilience?
  • How accurately can Water Security Days forecast a farm operating window?
Groundwater gallons avoidedCost per usable gallonWater Security DaysStorage utilizationCrop water requirement met
02 · ENGINEERING R&D

AWG-1000 Gen 3 Southwest

Hybrid atmospheric water research platform for hot, low-humidity conditions.

Conventional condensation AWG performance can fall sharply in dry climates. Southwest agriculture needs a system designed around humidity swings, nighttime operation, thermal regeneration and energy cost.

PROTOTYPE ARCHITECTURE
  • Mode A: direct condensation when dew-point conditions are favorable
  • Mode B: desiccant capture when relative humidity is lower
  • Mode C: thermal regeneration using solar heat, waste heat or another verified heat source
  • Mode scheduler uses humidity, dew point, ambient temperature, tank level and energy price
  • Water train includes condensate collection, treatment, storage and quality verification
R&D QUESTIONS
  • What hybrid cycle produces the lowest verified kWh per gallon across Southwest weather conditions?
  • Can nighttime and shoulder-hour operation materially improve seasonal efficiency?
  • Which desiccant and regeneration approach offers the best durability and maintenance profile?
Liters per daykWh per literGallons per dollarWater qualityDesiccant cycle lifeAvailability by weather band
03 · FIELD PROTOTYPE

RootIQ Precision Water

Irrigation decisions based on the root zone instead of the clock.

Timer-based irrigation can water too early, too late or too uniformly. The crop does not experience the whole field equally, and farm economics suffer when water, energy and fertilizer move where they are not needed.

PROTOTYPE ARCHITECTURE
  • Root-zone moisture and tension sensors at multiple depths
  • Weather, evapotranspiration, crop stage and rain forecast inputs
  • Zone-level irrigation recommendations with confidence and evidence
  • Optional valve and pump control only after owner-approved operating rules
  • Nutrient and irrigation events stored together for later yield and profit analysis
R&D QUESTIONS
  • How much water can root-zone control save without reducing marketable yield?
  • Which sensor density is accurate enough while remaining affordable?
  • Can irrigation timing reduce pumping energy and nutrient loss at the same time?
Gallons per acreYield per acrePump kWhIrrigation eventsRoot-zone stress hoursProfit per acre
04 · SOFTWARE PROTOTYPE

Farm Profit Digital Twin

Optimize dollars per acre, not just yield per acre.

Many agriculture tools optimize production while leaving out financing, labor, water, fuel, insurance, storage and market price. A farmer can produce more and still make less money.

PROTOTYPE ARCHITECTURE
  • Farm model: acres, crops, livestock, equipment, labor, water, energy, financing and contracts
  • Scenario engine compares crop mix, irrigation rules, equipment choices and capital projects
  • Every recommendation reports both agronomic and economic assumptions
  • Outputs include profit per acre, cash requirement, downside case and payback window
  • Actual results feed back into the model after each season
R&D QUESTIONS
  • Which variables explain the largest differences between predicted and actual farm margin?
  • Can water-efficiency recommendations be ranked by financial return rather than technical savings alone?
  • How should uncertainty be communicated so the model supports decisions without pretending certainty?
Net profit per acreCash requirementPayback periodWater cost per acreEnergy cost per acreForecast error
05 · NETWORK PROTOTYPE

Aridon Farm R&D Network

A field-trial network that moves agricultural inventions from lab to farm.

Promising agriculture research can stall between a successful laboratory result and real farm adoption. Researchers need field sites, farmers need trustworthy evidence, and funders need standardized outcomes.

PROTOTYPE ARCHITECTURE
  • Researcher submits a technology, protocol and measurement plan
  • Aridon matches trial requirements to willing farms without exposing private data prematurely
  • Baseline period records water, energy, yield, labor, soil and economic conditions
  • Trial data follows a common evidence schema with owner permissions and provenance
  • Results are published at the agreed level: private, partner-only, anonymized or public
R&D QUESTIONS
  • Can a common trial framework reduce time and cost between prototype and field evidence?
  • What compensation and data-rights structure keeps farmers willing to participate?
  • How much evidence is needed before a technology should advance to a larger demonstration?
Trials launchedTime to fieldCost per validated trialFarmer retentionTechnologies advancedReplicable outcome rate
FIVE EXPANSION PROGRAMS

The second wave attacks storage, nutrients, warning, livestock and energy.

Soil Water Battery

Research porous mineral or ceramic root-zone structures that temporarily hold irrigation water and release it as surrounding soil dries.

Proof plan: Measure usable storage, evaporation reduction, release curve, crop response, durability and installed cost per acre.

Nutrient Independence

Combine soil demand, manure, wastewater nutrients and precision application to reduce purchased fertilizer while protecting yield and water quality.

Proof plan: Measure purchased N-P-K avoided, nutrient recovery efficiency, yield, runoff risk and net savings.

Agricultural Early Warning

Detect regional patterns in weather, pests, disease, well levels and crop stress using permissioned farm observations plus public data.

Proof plan: Measure warning lead time, false-alert rate, farmer action rate and avoided loss.

Livestock Water + Heat Sentinel

Combine trough level, water temperature, heat index, forecast and animal movement to flag water or heat stress before it becomes an emergency.

Proof plan: Measure alert lead time, water availability, heat-risk events and response time.

Farm Energy-Water Microgrid

Coordinate solar, batteries, grid power, pumps, treatment, AWG and water tanks so energy and water storage are optimized together.

Proof plan: Measure energy cost per acre, demand-charge reduction, water produced during low-cost hours and resilience during outages.
SOUTHWEST WATER-SECURE FARM DEMONSTRATION

A three-arm field trial with a clean comparison.

Start small enough to measure correctly. Use the same crop class, comparable soils and a common measurement protocol wherever possible.

ARM A

Baseline control

Current irrigation and operating practice. Instrument it, but do not optimize it. Establish the comparison.

ARM B

RootIQ precision

Root-zone sensing, weather and irrigation decision support. Test water and pumping savings without AWG.

ARM C

Integrated water-secure farm

RootIQ plus Water Independence System, storage and the AWG research platform. Add energy optimization as instrumentation allows.

ILLUSTRATIVE PILOT SCENARIO

Model a water-security test before anyone makes a performance claim.

Change the assumptions below. Results are scenario math only, not validated AWG, irrigation, crop, or economic performance. Field trials must establish the real numbers.

MODELED WATER OFFSET
15.38%
of baseline seasonal demand
BASELINE DEMAND
280,000 gal/day
PRECISION SAVINGS TARGET
42,000 gal/day
AWG MODELED CONTRIBUTION
1,057 gal/day
COMBINED MODELED OFFSET
43,057 gal/day
SEASON MODELED OFFSET
5,166,803 gallons
FIELD EVIDENCE PACKAGE

What a partner receives.

The output is designed to be useful to a farmer, university, funder, investor or public agency without changing the underlying evidence.

Baseline dataset
Water, energy, soil, weather, yield, labor and economics before intervention.
Protocol + provenance
What changed, who approved it, when sensors were calibrated and how data was collected.
Outcome dashboard
Measured results with confidence, missing-data flags and no hidden substitution of modeled numbers for measured numbers.
Farmer economics
Capital cost, operating cost, net benefit, downside case and practical maintenance burden.
Replication package
What another farm would need to repeat the trial and test whether the result travels.
THE COMMERCIALIZATION PATH

Design → instrument → field test → independently validate → scale.

The first presentation should invite research and pilot partners, not ask anyone to accept unverified performance. A strong partner helps us turn design targets into measured evidence and measured evidence into a product farmers can trust.

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