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The superintendent's morning read

Soil data, disease pressure, and spray timing - in one morning glance.

RootView keeps you in cycle, turning in-ground sensor data, local weather, and peer-reviewed turf models into today's plan: what to water, what's at risk, and exactly when to apply. Built for the phone in your pocket.

Models cited from peer-reviewed turf pathology

Golf course superintendent on the course reviewing RootView disease and moisture alerts on a phone

Currently tracked

See every model
3 validated5 favorability2 GDD windows

Dollar spot, anthracnose, Pythium blight, summer patch, take-all, brown patch, leaf spot, root dysfunction, plus crabgrass pre-emergent and Poa seedhead PGR windows.

What RootView does

One platform for soil, irrigation, disease, and timing.

Live rootzone data, Rain Bird run history, transparent disease models, and application windows, keeping superintendents in cycle across irrigation, disease control, and spray timing.

Rootzone, live

Live soil monitoring

Soil moisture (% VWC), soil temperature, EC, and pH from in-ground sensors, per green and per zone. A morning scan shows what's too dry or not reporting, with a hand-watering route for your monitored greens.

  • Volumetric water content, temperature, EC, and pH per green/zone
  • LoRaWAN (cellular or ethernet gateway) or cellular LTE-M / NB-IoT - no gateway required
  • Morning scan flags dry greens and sensors that stopped reporting
  • Hand-watering route so the crew only touches the greens that need it

Transparent, not a black box

Disease pressure models

RootView runs published, peer-reviewed turf-pathology models and always shows the math and the citation. Validated probability models plus clearly-labeled favorability flags, so you time fungicide applications to real pressure, not a fixed rotation.

  • Validated: Smith-Kerns dollar spot, anthracnose severity, Pythium blight
  • Favorability flags: summer patch, take-all, Pythium root dysfunction, brown patch, leaf spot
  • Every model gated to the turf species that actually hosts the pathogen
  • Spray when pressure rises, skip passes when conditions don't warrant it

Keeping you in cycle

Application-timing windows (GDD)

Growing-degree-day windows keep you in cycle on pre-emergent and PGR applications, shown as OPEN, CLOSING, or PAST so you time sprays to the turf, cut wasteful passes, and act with confidence before the window closes.

  • Crabgrass pre-emergent GDD window
  • Poa annua seedhead-suppression PGR window
  • OPEN to CLOSING to PAST timeline tracked against your local accumulation
  • Fewer calendar-driven sprays, more confidence in every application window

The inputs behind the models

Local weather feed

Hourly conditions and a daily forecast, temperature, humidity, precipitation, ET0, and wind, that also feed the disease and GDD models so every recommendation reflects your actual weather.

  • Hourly conditions and multi-day forecast
  • Temp, humidity, precipitation, ET0, and wind
  • Feeds directly into disease pressure and GDD accumulation

Water applied, on the record

Rain Bird irrigation data

Connect your Rain Bird system and pull run times, zones, and application history into RootView, so what you irrigated sits on the same screen as soil moisture, ET0, and disease pressure.

  • Rain Bird run data synced into the platform
  • Zone runtimes and irrigation history alongside rootzone readings
  • No more exporting CSVs or reconciling a third system by hand

The whole season, logged

Season tracking

Growth (GDD), clipping-volume logging, nutrition and product logging, soil-test import, Rain Bird irrigation history, and a course event log, the running record that keeps your application cycle and care routines fine-tuned.

  • Clipping volume and yield tracked through the season
  • Soil tests, Rain Bird runs, and product logs in one timeline
  • Course event log tied to the same dashboard as disease and moisture

Lab results, not lock-ins

Soil-test nutrition planning

Upload soil-sample test results and pair them with clipping volume. RootView runs them through AI models to suggest application products for your greens, or show individual chemicals and rates when you'd rather mix your own tank.

  • Import lab soil tests - nutrients, pH, and organic matter
  • Clipping volume feeds recommendations so growth rate shapes the plan
  • AI-suggested products or single-ingredient chemistries you source yourself
  • Your program - not a manufacturer-bundled PredictN7-style workflow

Grounded in your data

Ask about your course

A plain-language assistant that answers using only your own sensor, weather, irrigation, disease, and event data, and shows the numbers behind every answer. No generic advice, no guesswork.

  • Answers grounded in your sensors, Rain Bird runs, and weather
  • Shows the figures behind every response
  • Ask in plain language, from the field

Built for the field

Built for a crew

Invite-only, role-based access for course admins and members, multi-course support for management groups, and a mobile-first interface built for the phone in your pocket in bright sun.

  • Invite-only, role-based access (admins + members)
  • Multi-course support for management groups
  • Mobile-first, high-contrast, built for direct sunlight

Transparent, not a black box

Every risk shows the formula and the paper.

RootView runs published turf-pathology models and always shows the math and the citation. Validated probability models are labeled as such; favorability flags are clearly labeled as conditions, not probabilities.

  • ValidatedDollar spot (Smith-Kerns), anthracnose (ASI), Pythium blight (Nutter-Shane)
  • FavorabilitySummer patch, Pythium root dysfunction, take-all, leaf spot, brown patch
  • GDDCrabgrass pre-emergent and Poa seedhead-suppression PGR windows
Dollar spot · Smith-Kerns

Here is the risk. Here is the math.

Validated
68%
probability today

Model

logit(p) = -11.4 + 0.136 · T̄5d + 0.048 · RH̄5d

Avg temp (5d)

22.6 C

Avg RH (5d)

82%

Citation: Smith, Kerns, et al. (2018), a logistic-regression dollar spot warning model. Shown in-product, every day.

Application windows

GDD tracked
Crabgrass pre-emergent0-160 GDD (base 10C)
OPEN
OpenClosingPast
Poa annua seedhead PGR20-500 GDD (base 0C)
CLOSING
OpenClosingPast

Keeping you in cycle

Time applications to the turf - not the calendar.

RootView ties disease pressure, GDD windows, and your season log together so you spray when conditions call for it, not a week early out of habit or a day late because the window closed. Fewer wasted passes, tighter care routines, and more confidence in every application decision.

  • Disease models flag rising pressure, spray ahead of infection, not behind it
  • GDD windows show OPEN, CLOSING, PAST so pre-emergent and PGR land in the right moment
  • Season product and event logs keep your program fine-tuned across the whole cycle
  • One morning read replaces calendar guesswork and reactive firefighting

How it works

From in the ground to today's plan.

Four steps from install to a morning read you can trust.

  1. 01

    Install the sensors

    Place in-ground sensors in the greens and zones you want to monitor. Choose LoRaWAN (with a cellular or ethernet gateway) or cellular LTE-M / NB-IoT sensors that need no gateway. Industrial Li-SOCl2 packs run 5+ years - install and forget.

  2. 02

    Data streams in

    Soil moisture, temperature, EC, and pH stream back over LoRaWAN via your gateway, or directly from cellular sensors, alongside local weather and Rain Bird irrigation run data.

  3. 03

    Models run daily

    Peer-reviewed disease models and GDD application windows run against your live data every morning, with the math and citation shown.

  4. 04

    Stay in cycle

    One morning glance: moisture targets, disease pressure, and application windows aligned, so you spray with confidence, skip what the turf doesn't need, and keep care routines fine-tuned through the season.

Soil tests + clipping volume

Nutrition planning from your lab results - not a manufacturer script.

Upload soil-sample test results and log clipping volume. RootView runs them through AI models to suggest application products matched to your greens, or switch to individual chemicals and rates when you'd rather build the tank mix yourself.

  • Import lab soil tests - macro and micro nutrients, pH, and organic matter
  • Clipping volume logged alongside tests so recommendations reflect growth
  • Product suggestions from AI, or drill into single-ingredient chemistries
  • Your program - not a bundled PredictN7-style partnership lock-in
Soil test · Apr 2026Greens mix recommendation
AI suggested

Suggested program

Balanced N-P-K adjustment with micronutrient top-up, aligned to clipping yield and current soil reserves.

Or mix your own

Ammonium sulfateFe EDTAMgSO₄

Individual chemistries with rates, for supers who source their own inputs.

Clipping volume: 0.42 L/m² · 7-day average

Ask about your course

A grounded assistant that shows its work.

Ask in plain language and get answers built from only your own sensor, weather, disease, and event data, with the numbers behind every answer. No generic advice, no guesswork.

You asked

“Which greens are trending dry this week?”

Greens 3 and 9 dropped below your 18% VWC threshold on 4 of the last 5 mornings. ET0 averaged 4.6 mm/day with no rainfall.

#3 · 16% VWC#9 · 14% VWCET0 4.6mm

The superintendent's morning read

Stop guessing. Start reading the rootzone.

See what's dry, what's at risk, and exactly when to spray, before you walk the course. Request access or book a walkthrough with your greens on the screen.