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App live · Device in development

The project.

The management app is up and running, and a veterinarian is evaluating it. The male's device is designed and its logic is written; what's left is to build it and take it to 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
€1,520
Payback in
3.4 months
Simulate with your herd
Roadmap · 2 of 6 complete · 2 in progress

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

The app already works. What's left is building the device and taking it to the field — and that's what the 2027 pilot will pay for.

  1. System architecture

    Done

    A single device on the male and low-cost tags on the females: the design that makes the system affordable is locked in.

  2. Breeding management app

    Done

    Up and running: the herd, each animal's record, heats, inseminations, pregnancy checks and calvings — offline too, in the field — and phone alerts when it is time to inseminate.

  3. Veterinary review

    In progress

    A veterinarian is evaluating the app and reviewing the parameters for each species before we use them with producers.

  4. Device logic

    In progress

    The device's "brain" is written and tested on a computer. Next, it goes onto the first boards.

  5. First physical devices

    Planned

    Building the first units and lab-testing them — they have to survive under water.

  6. 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 · Portugal

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