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Advanced Ideation and Engineering Prototyping Phase

The project.

The software architecture, data model and hardware design are locked. What's next is the physical MVP — and the field, where ideas either break or prove themselves.

The Problem

Two failures no one solved.

Heat-detection technology has been around for years. It just wasn't designed for this animal, this place, or this budget.

Bubalus bubalis

The Buffalo's Blind Spot

Buffalo heat is mostly silent, happens at night, and often with the animal submerged in ponds or mud — exactly where conventional sensors, built for stabled dairy cows, suffer total signal attenuation.

  • Silent
  • Nocturnal
  • Submerged
CAPEX

The Economic Barrier

Fitting every female with an active collar costs €100+ per animal. On an average farm, the upfront investment becomes prohibitive — so heat detection is still done by eye, with the cost piling up every day.

  • €100+ / collar
  • €4 / open day
Financial Impact

The model fits in one line.

There's no magic in the savings: idle days simply stop existing. The rest is arithmetic — and it's open to scrutiny.

Annual Savings = N × ΔD × C_diário
N
Herd size100 females
ΔD
Average reduction in open days15 days
C_diário
Cost of an empty animal, per day€4 / day

Standard farm in Viseu · 100 head

Estimated direct savings
€6,000
per year, before the subscription
Upfront investment
€1,370
Payback in
3.0 months
Simulate with your herd
Roadmap · 3 of 5 complete

What's locked in, and what's left.

The software and architecture are settled. What's left is steel, resin and fieldwork — and that's what the 2027 pilot will pay for.

  1. Hybrid network architecture (BLE + LoRaWAN)

    Done

    Asymmetric topology designed and validated: one active node on the male, passive tags on the females, free-band transmission.

  2. Mount-detection algorithm

    Done

    Firmware logic structured: on-board sensor detection, proximity validation and the store-and-forward protocol.

  3. Dashboard prototype

    Done

    Producer interface prototyped in a simulated environment, with heat alerts and network mapping.

  4. First batch of PCBs manufactured

    Planned

    Production of the first boards and lab watertightness testing — the enclosure has to withstand full immersion (IP68).

  5. Real-world pilots

    Planned

    Cattle herd in Viseu and buffalo herd in Ribatejo — the only place where the algorithm proves itself.

Simulation

Here's what it will look like in the field.

AI-generated illustrative concepts to visualize the device in use — not photos from a real pilot, which only starts in 2027 (see Roadmap).

Illustrative concept of the chest device mounted on a bull in extensive grazing, in a dehesa-style landscape, with the LoRaWAN signal shown graphically.Simulation
Cattle · Viseu
Illustrative concept of two technicians validating on a tablet the device on a buffalo herd partially submerged in a Ribatejo lagoon.Simulation
Buffalo · Ribatejo
Illustrative concept of the mount event detected by the device on the male, with proximity confirmation to the female tag and a sensor detail.Simulation
Mount-detection event

Naudy Castellanos

Animal Production Engineer & Computer Engineer

Viseu · PortugalCrédito Agrícola Award · 13th edition

Entry in the 13th edition of the Crédito Agrícola Entrepreneurship and Innovation Award. If you're a producer, researcher or investor who wants to bring ReproTrack to the field, the shortest path is an email.

Team

  • Darwin Ramírez

    Electronics Engineer

  • Franklin Pérez

    Animal Production Engineer & Field Expert

Emailinfo@reprotrack.comWebsitenaudycastellanos.com