Agricultural Decision-Support Software

Decision science
for the critical
irrigation window

HydraSense applies probabilistic Bayesian modeling to irrigation decisions during phenologically sensitive crop stages — when timing carries disproportionate yield consequences.

Explore the technology
Decision Point High risk Optimal Conservative Time — Phenological Stage Yield Probability Flowering Fruit Set Development
10M+
Hectares — Total Addressable Market
6
Mediterranean Crop Types
>15%
R&D as % of Annual Operating Costs
9yr
Innovative Startup Status — Law 193/2024

Short windows.
Irreversible outcomes.

During flowering, fruit set, and early fruit development, irrigation timing decisions carry disproportionate yield consequences — yet feedback only emerges months later, when correction is impossible.

Existing tools monitor conditions or report historical data. None model forward-looking decision risk during these critical phenological windows. That is the gap HydraSense addresses.

“Producers must act under uncertainty without structured analytical support.”

The Bayesian Irrigation Decision Modeling Engine

INPUT
Phenological Context Current crop stage · Days since onset · Seasonal conditions · Soil moisture · Irrigation capacity
ENGINE
Bayesian + Monte Carlo Processing Probabilistic scenario modeling · Phenological risk weighting · Yield-impact probability · Multi-scenario comparison
OUTPUT
Decision-Framed Risk Analysis Irrigation timing scenarios · Probabilistic risk bands · Comparative exposure metrics · Economic decision framing
DESIGN
Non-Prescriptive by Architecture The engine frames risk. The producer decides. No automated recommendations.
Core Technology

Probabilistic modeling
applied to agriculture

Bayesian Probabilistic Engine

The core methodology applies Bayesian inference to irrigation timing decisions, updating probability distributions as new field data becomes available throughout the phenological season.

SIAE Registration — Year 1

Monte Carlo Scenario Analysis

Thousands of simulated irrigation scenarios evaluated simultaneously, producing probabilistic risk bands that show producers the full range of likely outcomes — not a single forecast.

Python Probabilistic Libraries

Phenological Parameterization

The modeling engine is crop-agnostic. Phenological modules parameterize it for each crop type — olives, hazelnuts, grapevines, stone fruits, citrus, almonds — without requiring a platform rebuild.

Multi-Crop Architecture
Platform Scope

Mediterranean perennial
crop coverage

Italy is the world's leading or co-leading olive producer, second largest wine producer globally, and a major producer of hazelnuts, stone fruits, citrus, and almonds. The Viterbo province alone accounts for approximately 26% of Italy's total hazelnut surface area. Every crop in HydraSense's expansion roadmap is a core Italian agricultural product — with particular focus on the Lazio region.

🫒
Olives
Proof-of-concept · Active
🌰
Hazelnuts
Year 2 · Viterbo DOP
🍇
Grapevines
Year 2–3 specification
🍑
Stone Fruits
Year 3 roadmap
🍊
Citrus
Year 4 roadmap
🌿
Almonds
Year 4–5 roadmap

Built in Italy.
For Italian agriculture.

HydraSense S.r.l. is an Italian software company incorporated in Lazio, registered as an impresa startup innovativa under Art. 25 L. 221/2012. We are a software company that happens to originate from an agricultural observation — not an agricultural producer.

The platform is developed and validated in Italy’s most productive agricultural regions. The founder, Steve Anderson, is relocating permanently to Lazio — HydraSense is a long-term Italian venture, not an imported technology.

Olive cultivation in central Italy is our initial validation use case. Commercial launch follows validation, not the reverse.

Entity
HydraSense S.r.l.
Type
Impresa Startup Innovativa — Art. 25 L. 221/2012
Region
Lazio, Italy
Status
Law 193/2024 — up to 9 years innovative startup status
Capital
Founder-funded — capital committed at incorporation
IP
Bayesian Irrigation Decision Modeling Engine — SIAE registration Year 1
R&D
R&D-intensive — software development and applied research constitute the primary operating expenditure
Website
HydraSense.it
Steve Anderson

Steve Anderson is relocating permanently to Lazio to build HydraSense — a long-term Italian venture, not an imported technology.

His career spans over 35 years founding, acquiring, and scaling businesses across the United States, Europe, and Australia, with executive roles including President, CEO, COO, and CFO across global technology companies, professional services firms, and operations-intensive businesses. A trained accountant with deep financial analytical roots, he has structured and executed leveraged transactions exceeding $2 billion in aggregate enterprise value alongside institutions including Lazard, Goldman Sachs, and Merrill Lynch, and has consistently built software-based analytical systems as the operational core of how organizations make decisions under uncertainty.

HydraSense is the direct application of that pattern to Italian agriculture — probabilistic decision frameworks, applied to a domain where timing is irreversible and the cost of a wrong call compounds across an entire season.

Get in touch

HydraSense is in the pre-commercial validation phase — development is underway. We welcome enquiries from researchers, producers, and potential partners.

info@hydrasense.it