Nutrición animal
Feeding Monitor
A feed bowl that records how much was eaten, and how fast.
El reto
Feeding is often guesswork: food goes in, and the leftovers are eyeballed.
Feeding Monitor
Without weights, nobody knows how quickly animals eat, how much they eat or how much is wasted. The Feeding Monitor puts a load cell under the bowl and records the weight through each feed, so appetite and wastage become numbers.
Bienestar y nutrición animal
Dónde funciona
Bird diets
Intake curves for birds on managed diets.
Small animals
Appetite checks during health monitoring.
Nutrition trials
Measured intake for diet studies.
Qué hace
Weight over time
The bowl's weight is logged through each feed.
Consumption curves
How fast and how much was eaten, per bowl.
Wastage estimates
An estimate of the food wasted per feed.
Splash-proof
The bowl and load-cell gap are waterproofed.
Wireless
Wi-Fi from an ESP32 in the base.
Cómo funciona
Place
Set the Feeding Monitor in place of the usual bowl.
Feed
The weight is logged as the animal eats.
Review
See consumption curves and wastage for each feed.
Por qué lo eligen los equipos
Appetite in numbers
Spot a drop in eating early.
No weighing by hand
Intake records itself.
Less waste
See how much food is left or spilled.
Per bowl
One bowl per animal gives individual intake.
Datos clave
- Sensing
- Load cell with HX711 amplifier under the bowl
- Output
- Weight over time for each feed
- Insights
- Consumption curves and wastage estimates
- Controller
- ESP32 with Wi-Fi
- Power
- Battery or mains
- Build
- Waterproofed bowl and load-cell gap
- Per animal
- Individual intake needs one animal per bowl
Ideal para
- Bird diet programmes
- Small-animal health checks
- Nutrition trials
Planning a pilot?
Tell us about the animals and diets you want to track, and we will plan a feeding trial.
Más en Bienestar y nutrición animal
Todos los dispositivos
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Reserve una demostración guiada. Le mostraremos un estudio de campo real, la anotación por voz en el momento y un modelo de visión artificial ejecutándose localmente en el propio dispositivo: entrenado con imágenes reales de cámaras por cuidadores y biólogos, comportamiento a comportamiento.
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