Machines - Chicken House Solutions

IoT Poultry Farming System

1. CO₂ 0–5,000 ppm range
2. NH₃ 0–100 ppm
3. RH ±3%
4. Thresholds in the 10–25 ppm range
5. Reception /WhatsApp NO. : +8618830120193
Download

Product details

Short summary (one-sentence): Use the right sensors + reliable local control + appropriate communications to make feeders, drinkers, fans and manure systems work together — reducing illness, labour and surprises.

1762055560843455913063661568

Full Data Collection


1762824182846679749896802304

On Site Data Screen


1762055569843455950049034240

Hardware Device In Poultry Farm


1762824052846679202728873984

Controller Hardware Device

1762824054846679209821442048

Controller Hardware Device


1762824049846679191001600000

Controller Hardware Device

1762824056846679217895477248

Controller Hardware Device


This article is aimed at people who want a practical, stepwise plan (not high-level theory). 

The first two-thirds focus on the IoT product layers and how they directly control cage/house equipment. The final third covers complementary house systems and practical deployment tips.


"European Standard IoT Poultry Farming System"


1. A Different Way To Think About IoT: Four Layers

1762055821843457008552951808


You can picture an IoT poultry system as four layers stacked on top of each other, each with its own clear role and outcome. 

Think of it as building a reliable house: sensors are the "eyes", controllers are the "brain", communications are the "nerves", and the cloud is your "memory and dashboard".

IoT System Layers

1762056793843461086481793024

Mobile Managing App


1762056795843461091854696448

CCTV Center


1762824047846679182336167936

Data Screen


Layer

Role

Example Devices / Actions

1. Sensing

Measure what matters at bird level

Temp/RH sensors, CO₂, NH₃, nipple flow meters, light sensors.

2. Local Processing (Edge)

Fast control & safety logic — must work without cloud

PLC / controller or gateway that modulates fans, inlets, pumps.

3. Communications

Move data to farm dashboard / cloud for trending

Wi-Fi, LTE (cell), LRWAN (low-power long range).

4. Cloud & UI

Trends, alerts, analysis, reporting

Dashboard, mobile alerts, production reports.

The data is for reference only.

A well-layered system ensures your birds stay protected even if the internet goes down — because life support happens locally, not in the cloud. That's true resilience.


"The Advantages Of IoT Poultry Farming System"


2. How IoT Actually Controls House Equipment

Below are typical, practical sensor–controller–actuator pairings that deliver immediate, measurable results. Each is a proven way to cut risks and daily workload..

(1) Temp Sensor (Bird Level) → Edge Controller → Fan Vsd / Inlets

1762056577843460179530661888

Ventilation Data

1762056575843460170231889920

Heater Data


Edge rules can ramp fan speed as house temp rises; VSD fans smooth transitions and save electricity. 

Large commercial axial fans are commonly used; some industrial fans for poultry are rated in the tens of thousands m³/h (examples around 40–44k m³/h are available from commercial suppliers). 

When choosing a fan, check the rated airflow at working static pressure (real-life performance differs from lab specs).

(2) Nipple Drinker Flow Measurement → Alarm & Local Cut-List

1762056456843459670652534784


Measuring the milliliters per minute at representative nipples is a routine management task. 

Breeder/integrator guides give stepwise flow recommendations by age; simple in-house checks (30-second catches multiplied to get ml/min) are standard practice. 

Automating alarms when flow falls below expected values avoids dehydration and wet litter.

(3) NH₃ (Ammonia) Sensor → Manure Run Logic

1762057212843462844734029824

Temperature Alarm Device

1762057212843462840954961920

NH3 Sensor


If ammonia trends up, the controller can trigger extra belt cycles or increase ventilation. 

Ammonia sensors drift and need calibration, but having even approximate continuous readings is better than relying on smell alone. 

Industry guidance ties alarms and remediation actions to thresholds in the ~10–25 ppm range.

(4) Feed Motor Run Detection → Feed Delivery Verification

1762055931843457470803001344

Feed Data System

1762055932843457473797734400

Farm Data System


Monitoring motor current / runtime combined with feed-level sensors in silos flags auger jams or empty bins early.


"Why Choose IoT Poultry Farming System"


3. Choosing Communications: Which Is Right For Your Farm?

1762056101843458184275083264

Smart Poultry Management


1762056102843458187689246720

Smart Poultry Management


There are three practical options, each with pros and trade-offs

1762058233843467124408893440

I-Touching Controller

1762058257843467223750983680

Centralized Control System


  • Wi-Fi — High bandwidth, low cost for local networks, but limited range and non-ideal for battery sensors.

  • LTE / Cellular — Wide coverage and easy remote access, but recurring SIM/data costs and higher power.

  • LRWAN — Low power, long range, built for sensors sending small packets; excellent for battery-powered environmental sensors across multiple houses. LRWAN solutions are already being deployed on enterprise poultry farms for monitoring and telematics.

Common hybrid pattern: Sensors → LRWAN to gateway → gateway uploads via Wi-Fi or LTE to cloud.

The right communications mix ensures that your system grows with your farm — whether you're managing one house or a multi-site operation.

4. Sensor And Device Selection

1762056250843458807506714624

Overall Poultry Farm Arrangement


1762056901843461538996862976

Sensor On Cage System

1762056899843461531115765760

Sensor On cage Free System

1762056897843461523071090688

Sensor On Poultry Aviary System


Choosing reliable hardware is essential. Cheap sensors that drift or fail can create more problems than they solve. Below is a quick reference.

Sensor Selection Cheat-Sheet

Measurement

Practical Spec To Look For

Why It Matters

Temp (Bird Height)

±0.3°C; sample 1–5 min

Accurate thermal control in brooding phase

RH

±3%

Affects effective cooling and litter moisture

CO₂

0–5,000 ppm range

Indicator of ventilation adequacy

NH₃

0–100 ppm; calibration support

Early welfare alarm, guides litter action

Nipple Flow

ML/min readout, or spot-check method

Detects blockages/leaks; follow breed flow tables

Gateway

LRWAN + Wi-Fi or LTE uplink; local HMI

Aggregates sensors and runs local logic

For reference only, the exact size is based on our exact quotation.

Investing in a solid sensor backbone pays off every day — through fewer surprises, tighter control, and higher flock performance.

5. Integrating IoT With The Rest Of The House

1762056176843458496671039488

Layout Of Software And Hardware


1762057721843464978280005632

Poultry Farm-Cloud Controlling


IoT doesn't replace existing systems — it makes them smarter. Here are common integrations:

(1) Feed Silos & Augers

1762056414843459494131056640


IoT monitors weight or motor runtime to detect empty bins or jams. 

We and similar manufacturers provide silo + feedline solutions; IoT adds monitoring and alarms.

(2) Manure Belts

IoT schedules runs by time or condition (ammonia/humidity triggers).

Load sensors on belt motors catch jams. This reduces manual checks and prevents overnight failures.

(3) Cooling Pads System/ Wet Curtain Systems

1762356413844717783942770688

1762356415844717792499150848


Controlled by temp and RH set-points; IoT can prevent over-use (which would raise humidity) by only running pumps when net cooling benefit is expected.

(4) Lighting & Behaviour Analysis

1762782026846502932896387072


Cameras with edge analysis can detect abnormal clustering or reduced movement (early disease warning) and trigger staff checks.

By integrating IoT, every component in your house works in harmony — like an orchestra with a skilled conductor.

6. Quick Implementation Road Map — Realistic Steps

1762058065843466419883261952


You don't need to do everything at once. Start with your biggest risk point and build up layer by layer.


Step

Action

Rough Time & Note

1

Baseline audit: place temp/RH sensors at bird height in 4 locations

1 day

2

Install edge controller and 1 fan VSD control + one temp sensor loop

2–3 days

3

Add water flow/nipple checks and set alarm thresholds (manual→auto)

1–2 days

4

Deploy NH₃ sensor in litter area + integrate manure belt run logic

1 day

5

Add gateway (LRWAN or LTE) + dashboard setup, user alerts

1–2 days

6

Staff training & maintenance schedule (calibration plan)

1 day

The data is for reference only.

With a clear road map, farms can achieve tangible improvements in just a few weeks, not months — and each step delivers immediate value.

7. One-Page Checklist Before You Commit

large poultry farm 1 (1)


  • Which three measures matter most for your house? (temp, water flow, ammonia is a common trio)

  • Can the controller act locally without internet? (must be yes)

  • Are ammonia and CO₂ sensor specs and calibration intervals documented?

  • Does your (LRWAN vs LTE vs Wi-Fi) match house layout and budget?

  • Is staff trained to interpret alarms and perform quick fixes?

A quick pre-check can save you costly missteps — and make sure your IoT system fits your farm like a glove.

Certified

PVOC
SGS
SON
Trademark and Patent
CNAC
COC

Tag

Message

Send

Search

Product category

Contact us

Phone(whatsapp No. ): 

+86 13663282016

E-mail: 

sales@bestchickencage.com

Office 1 (Hong Kong): 

Flat/RM A, 15/F, ManlyCommercial Building 15 Soy Street, Mong Kok

Office 2 (China Mainland): 

Flat/RM 2416, 24/F, Runxing Building, Youyi Nan Street, Shijiazhuang City, Hebei Province