Question 1

How does SenseAgri AI detect poultry disease early?

Accepted Answer

The platform continuously monitors house conditions — temperature, humidity, gas, CO₂, feed, water, egg count and more — around the clock. On-farm AI learns each house's baseline and runs causal models against it, separating normal variation from the early signs of a real problem. When something meaningful shifts, an alert goes to your phone via WhatsApp with the specific action to take.

Last updated: 18 July 2026

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Question 2

What sensors and hardware does the platform use?

Accepted Answer

LoRaWAN sensors and edge cameras deployed inside each house. They read temperature, humidity, gas, CO₂, feed, water and egg count around the clock. Sensing and inference run on-site, so the platform keeps working through patchy connectivity — data syncs to the cloud the moment the link returns.

Question 3

Does it integrate with our existing farm equipment?

Accepted Answer

Yes. SenseAgri AI integrates with the major poultry platforms already on your farm — Big Dutchman, SKOV, Hytek, Vencomatic and more. You keep the controllers and equipment you have; SenseAgri adds the layer of continuous monitoring and causal analysis on top.

Question 4

What does the pilot cost?

Accepted Answer

The early-adopter pilot is free. That includes full platform access — sensors, dashboard and AI — on-site installation and setup fully managed, and a direct line to the founders. No credit card required. When we launch commercially, pilot partners keep locked founder pricing.

Question 5

Do I need to buy or install any hardware myself?

Accepted Answer

No. Sensors, edge compute and installation are all handled by us as part of the pilot — nothing to buy up-front, nothing to install yourself.

Question 6

Does SenseAgri use computer vision for poultry monitoring?

Accepted Answer

Yes, and the vision layer is split by farm type. For layer and breeder houses, vision-based systems count eggs continuously. For broiler operations, cameras track bird movement and activity across the house as a welfare and behaviour signal. Cameras integrate with the CCTV your farm already uses, and vision inference runs on the farm's own edge compute — no cloud round-trip per frame.

Question 7

How does acoustic monitoring work in a poultry house?

Accepted Answer

Microphones in each house pick up distinct sounds — stress vocalisations, wake-up patterns, and general activity levels — and classify them in real time. Sound is a leading indicator of welfare shifts, so combined with environmental and vision data, acoustic signals help catch issues earlier than any single sensor alone.

Question 8

Can SenseAgri detect gut problems in poultry?

Accepted Answer

Yes. The platform tracks the feed-to-water consumption ratio continuously — a well-documented early indicator of gut health issues in poultry. When the ratio deviates from the flock's own baseline, the system flags it, typically days before the issue shows up in production numbers or mortality.

Question 9

What welfare and production metrics does the platform track?

Accepted Answer

Environmental conditions (temperature, humidity, CO₂, ammonia), vision-based bird activity and movement, acoustic welfare signals including stress vocalisations, feed/water consumption patterns, egg count, hen-day production, mortality trends, and feed conversion — all in a single dashboard with weekly ROI reports summarising what changed and why.

Question 10

What kind of AI does SenseAgri use?

Accepted Answer

The platform combines computer vision (bird tracking, egg counting), acoustic classification (welfare and stress-signal detection), and causal AI on environmental time-series. Inference runs on the farm itself, so the platform keeps working through patchy connectivity — data syncs to the cloud when the link returns.

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