The Seneroy Intelligence Suite

Ten farm disciplines.
One shared brain.

A serious grower today assembles precision farming from parts: one login for imagery, another for irrigation, another for livestock, another for compliance. Each tool sees a slice of the farm and none of them talk to each other. Seneroy AI's Intelligence Suite is ten disciplines reading the same live farm data, reasoned over by one assistant, Lena.

10
Intelligence modules
1
Shared data model
0
Extra logins
Every module below is graded honestly: live in the app today, or in active development. Nothing here is dressed up as shipped when it isn't.
Lena AI ASSISTANT 💧 🌦 🌱 🌾 🐄 🛡 💰 🛰 🌰
🇬🇭GHANA

Built for Ghana. Not adapted from elsewhere.

Live in app

Most agricultural AI tools are built for European or North American farming conditions and then loosely adapted for Africa. Seneroy AI was built from the ground up for Ghana and West Africa.

  • Trained on Ghana-specific crop data, regional weather patterns, COCOBOD pricing, and MOFA guidelines — with real farm economics from the Bono Region, Ashanti, Brong-Ahafo, and Northern zones.
  • Planting calendars calibrated for Ghana's major and minor rainy seasons, regional soil profiles, and local pest species — not a generic USDA-zone date.
  • Pricing data integrates COCOBOD reference prices, Techiman and Kumasi market rates, and WCA FOB export prices.
  • Regulatory tools built around MOFA guidelines, EUDR 2023/1115, and Ghana's EPA pesticide registration framework.
Crops & species Lena knows
🌽 Maize🥔 Cassava🍠 Yam🌾 Rice🍌 Plantain🫘 Soybean🥜 Groundnut🫛 Cowpea🍅 Tomato🌶 Pepper🧅 Onion🍫 Cocoa🥜 Cashew🥭 Mango🌴 Oil Palm🌿 Sorghum🌱 Millet🐔 Poultry🐄 Cattle🐐 Goats🐟 Tilapia🐠 Catfish🐝 Bees
💧01 / 10

Water Intelligence

Live in app

Irrigation is the highest-stakes daily decision on most farms, and the one most often made on habit instead of data. Water Intelligence exists to close that gap.

  • Soil-moisture sensor readings fused with the live weather forecast, so irrigation triggers only when there's a real deficit — not on a fixed calendar.
  • Netafim-compatible drip dispatch: when moisture crosses your threshold, a work order is generated automatically for the irrigation crew or controller.
  • California growers get SGMA-ready groundwater-use logs compiled automatically from every irrigation event, instead of reconstructed by hand each reporting period.
  • Cross-reads Satellite Intelligence's water-stress imagery to catch leaks and uneven coverage before they show up as yield loss.
Built to clear Soil-sensor-driven irrigation platforms like CropX have shown meaningful water savings by scheduling on measured deficit rather than fixed intervals — that's the bar this module is designed against.
Live right now — not a mockup
Fetching USGS + California DWR…
Source: USGS Water Services (site 11251000) + California DWR/CDEC (Millerton Lake), fetched live in your browser, California mode only. Full diagnostics & raw response →
For Ghana: USGS and California DWR only cover US monitoring stations, so this live feed doesn't extend to Ghana / West Africa yet. Ghana mode currently relies on the rainfall data in Weather Intelligence plus manually logged fish-pond and irrigation records — flagged honestly rather than shown as live.
🌦02 / 10

Weather Intelligence

Live in app

County-level forecasts miss the frost pocket in your lowest block. Weather Intelligence works at block resolution because that's the resolution decisions actually get made at.

  • Block-level forecasting, not just a single number for the whole farm.
  • Frost, heat-stress, and spray-window alerts timed to each crop's current growth stage.
  • 48-hour rainfall probability feeds directly into Water Intelligence, so you're not irrigating right before rain.
Built to clear Growers still lose spray applications to weather that changed after the truck rolled. The goal is a forecast tight enough, and current enough, that this stops happening.
🌱03 / 10

Soil Intelligence

Live in app

A soil test tells you where you are. Soil Intelligence tells you what to do about it, and whether last season's fix actually worked.

  • Multi-parameter chemistry — pH, nitrogen, organic matter — mapped per block, not averaged across the whole farm.
  • Lab results turned into a ranked fertility action plan, not a PDF you have to interpret yourself.
  • Season-over-season trend tracking, so degrading soil health shows up as a trend line before it shows up as a yield drop.
Built to clear Portable-scanner soil platforms have proven that AI-assisted interpretation of soil chemistry can turn a static lab report into an ongoing feedback loop — that's the standard here.
🌾04 / 10

Crop Intelligence

Live in app

Crops, calendar, disease scanner, and yield forecast — four tools that are usually four separate apps, reading one shared model of what's actually growing on your farm.

  • Photo-based pest and disease identification grounded in a large, growing crop-issue knowledge base.
  • Yield forecasts validated against your own block's historical performance, not just a regional average.
  • A crop calendar tuned to your specific variety and microclimate, not a generic USDA-zone date.
  • Every recommendation shows which underlying data — imagery, weather, soil — it came from.
Built to clear Photo-diagnosis apps like Plantix built their credibility on a crop-and-disease library spanning hundreds of species. Crop Intelligence is built to match that breadth while staying tied to your farm's own history.
🐄05 / 10

Livestock Intelligence

Live in app

From herd health to hive optimization — livestock, bees, and pollination logistics in one place, because on a mixed farm they're never really separate problems.

  • Individual-animal health and behavior tracking, flagging illness before it's visible to the eye.
  • Hive placement and pollination-density optimization for orchard crops — almonds alone depend on precisely timed bee density during bloom.
  • Grazing and herd-movement tracking without needing to walk every paddock yourself.
Built to clear Wearable-collar platforms like Halter process thousands of behavioral data points per animal per minute to catch illness and heat cycles early. That's the density of signal this module aims for.
🛡06 / 10

Compliance Intelligence

Live in app

Compliance is the module that punishes you hardest for doing it manually. Seneroy generates the paperwork from the same data every other module is already collecting.

  • Region-aware by design: CDPR pesticide-use reporting and SGMA groundwater documentation for California growers; EUDR deforestation-free export statements for Ghana/West Africa growers.
  • Due-diligence statements auto-generated with GPS polygons and satellite imagery timestamps as evidence.
  • One-click export of the full audit trail for buyers, customs, or regulators.
Honest note The California-specific compliance content (CDPR/SGMA workflows) is still being built out — today's live panel reflects the EUDR/export-compliance workflow first.
💰07 / 10

Market Intelligence

Live in app

Prices, profit, loans, and investor reporting — the financial side of the farm, running off the same numbers as the agronomic side, not a spreadsheet nobody trusts.

  • Live regional and export price feeds by crop.
  • Sell-or-hold guidance grounded in Monte Carlo profit simulation, not a hunch.
  • Loan and investor-readiness tools that translate farm data straight into bank-grade numbers.
Built to clear Most farm-financial tools are disconnected from the agronomic data that actually drives the numbers. Here the profit model updates the moment yield or market data changes.
Live right now — not a mockup
Fetching USDA NASS…
Source: USDA NASS Quick Stats (almond price received, California), fetched live in your browser, California mode only. Full diagnostics & raw response →
For Ghana: USDA NASS only covers US agriculture, so this specific live feed doesn't extend to Ghana. Ghana mode instead references COCOBOD published prices, Techiman/Kumasi market rates, and WCA FOB export prices — see the market tool below for those figures.
See the full market tool — Ghana & California, sell alerts, FBO group selling →
🛰08 / 10

Satellite Intelligence

Live in app

By the time crop stress is visible to the eye, you've usually already lost yield. Satellite Intelligence exists to move that discovery earlier.

  • NDVI/vigor imagery tracked over time at the block level.
  • Water-stress indices layered directly on top of Water Intelligence's irrigation data.
  • Satellite-timestamped imagery doubles as compliance evidence for deforestation-free sourcing claims.
Built to clear Aerial-imagery platforms such as Ceres AI have demonstrated detecting water, nutrient, and disease stress roughly two to three weeks before it's visible on the ground. That lead time is the target this module is designed around.
09 / 10

Farm Operations

Live in app

The command center: machines, crews, offline sync, scenario planning, and the daily Lena report, all in the module built for the person actually running the farm day to day.

  • Work orders generated automatically the moment a threshold — moisture, pest pressure, harvest readiness — is crossed.
  • ISOBUS-compatible machine connectivity for tracking equipment status in real time.
  • An offline-first sync queue, so field data collected without signal isn't lost — it just uploads the moment connectivity returns.
  • Scenario builder and risk simulator for stress-testing decisions before you commit to them.
Built to clear Equipment-telemetry platforms like John Deere Operations Center manage data across hundreds of millions of connected acres. Farm Operations is built to bring that same level of operational visibility to a single mid-size farm.
🌰10 / 10

Due Plant Engine

In development

Planting-date decisions get made in isolation today — one eye on the soil, one on the frost calendar, one on where the market will be at harvest. The Due Plant Engine is built to weigh all three at once.

  • AI-recommended planting windows per crop and variety, factoring soil temperature and frost risk together, not separately.
  • Market-timing awareness, so the recommended window also accounts for where prices are likely to be at harvest.
  • Designed to sit on top of Soil, Weather, and Market Intelligence rather than duplicate them.
Honest note This module doesn't exist in the app yet. No crop-modeling platform on the market fully unifies agronomic timing and market timing into one recommendation — that gap is exactly what this module is meant to close.
🤖Core

Lena — AI Assistant

Live in app

Not a chatbot bolted onto a dashboard — Lena is the shared reasoning layer the other ten modules feed into, and the one interface that ties them together.

  • Every answer is grounded in your farm's actual live data — the sensor reading, the image, the price feed — not generic advice.
  • Voice interface built for low-bandwidth, in-field use, not just a desk chair.
  • Ask a question that spans modules — "should I sell or hold given this week's forecast and my soil moisture?" — and Lena reasons across the shared model instead of routing you to a different app.
Why this matters This is the actual thesis of the Intelligence Suite: it's not ten separate features, it's one assistant with ten senses. That's the thing a stitched-together stack of point solutions can't replicate.
Why unify at all

Today's serious grower already pays for most of this — just split across five or six different logins that don't talk to each other.

The stitched-together stack
  • Imagery platform for satellite/NDVI
  • Separate irrigation-sensor app
  • Separate livestock wearable platform
  • Spreadsheet or consultant for compliance
  • Separate market/financial terminal
  • None of them share a data model
Seneroy AI
  • One login, one farm profile
  • Ten modules reading the same live data
  • One assistant that reasons across all of them
  • Works offline, syncs when connected
  • Region-aware compliance built in, not bolted on
  • Free to start — no per-module subscription stack
🧭

Every tool works together. Most works offline.

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