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SilkWater product interface
Our work / Mobile App Development

SilkWater: an AgTech app that puts the whole farm in one live view

Resourcifi built SilkWater, a native iOS and Android app that maps every field, tracks crews by GPS, reads IoT soil sensors live, and turns each acre into clear yield numbers, so growers run the whole operation from one screen.

Talk to our IoT app teamSee the outcomes
2.5x Increase in farm productivity
Stanford DOW Snak King Narda Proximity Learning Nextgen Living University of Guelph Lenze iAutomation Emory University IKEA
600+ projects 95% repeat clients 4.9 on Clutch
Industry
Agriculture & AgTech
Engagement
Long-term Partnership
Platform
iOS, Android, Web
Services delivered
7 workstreams
Timeline
Multi year partnership with continuous releases.
The challenge

What SilkWater needed to solve.

SilkWater wanted to pull farm operations out of paper logs and scattered spreadsheets and into one connected view. Growers needed to see every field at a glance, follow crews across the land by GPS, read soil and moisture sensors as they changed, and act on yield trends in season, all from a phone used in the field.

Goals
  • Map every field with status and live alerts in one place
  • Track crews across the farm by GPS in real time
  • Stream IoT soil moisture, temperature, and pH to the phone
  • Turn field data into clear yield and productivity views
  • Hold one experience across iOS and Android
The solution

Resourcifi built SilkWater as a native app on both platforms, backed by an analytics layer that ingests IoT sensor data over GPS tagged fields. The app opens on a farm dashboard with yield, crews, sensors, and equipment, a live field map shows every plot by crop with tractor and harvester markers, crews appear on a live GPS list, and soil readings and yield analytics roll up so growers can act in the moment.

What we built

The SilkWater build, screen by screen.

01 · Farm dashboard and home

The whole farm in one morning view

The home screen opens with a greeting, then yield, crews, sensors, and equipment as four tiles above a yield projection chart, so a grower sees the day at a glance.

  • Greeting and farm name
  • Yield, crews, sensors, equipment tiles
  • Yield projection chart
  • Live status across the farm
SwiftAnalytics backend
02 · Live field map

Every plot drawn by crop

A live map renders each field as a colored plot labeled by crop, with tractor and harvester markers placed where the machines are working right now.

  • Plots colored by crop
  • Soybeans, corn, and fallow labels
  • Tractor and harvester markers
  • Tap a plot for detail
GPS mappingKotlin
03 · Workers live GPS

Find every crew on the land

A live GPS list shows each worker with status and location across the farm, so a manager knows who is where without a radio call.

  • Worker name and avatar
  • Active or on break status
  • Field and location
  • Real time GPS updates
GPS trackingReal time updates
04 · IoT soil sensors

Soil readings as they change

The sensor screen reads soil moisture, temperature, and pH from IoT probes in the ground, with a clear status on each so a grower can act before a field stresses.

  • Soil moisture and temperature
  • pH with a health grade
  • Per field sensor status
  • Live readings from the ground
IoT sensorsAnalytics backend
05 · Yield analytics

Productivity in plain numbers

Yield analytics roll the season into weekly bars and a projection against last year, so a grower sees where productivity is heading and which fields lead.

  • Yield against last year
  • Weekly productivity bars
  • Projection for the season
  • Top fields by yield
Analytics backendYield projection
06 · Farm profile and settings

Fields, crews, and sensors in one place

The profile screen holds the farm identity, connected fields and crews, sensor pairing, and account settings, all kept in sync across devices.

  • Farm and manager identity
  • Connected fields and crews
  • Sensor pairing controls
  • Account and sync settings
Cross device syncSecure backend
How we worked

From discovery to a production build.

01

Discovery

map field operations, sensor types, and crew workflows with the SilkWater team

02

Field model

define fields, crops, sensors, and the GPS tracking structure

03

Build

ship the native apps and IoT ingestion together

04

Integration

connect GPS tracking, soil sensors, and the analytics layer

05

Release

launch on both stores and tune with growers in season

Resourcifi engineers building the SilkWater mobile app
Outcomes

The numbers the build moved.

2.5x
Increase in farm productivity
38%
Improvement in operational efficiency
55%
Reduction in manual tracking efforts
The stack

What SilkWater runs on.

Mobile

Swift

Native iOS app and live field map

Mobile

Kotlin

Native Android app at feature parity

IoT

GPS and Sensor Integration

Crew location and soil readings

Platform

Analytics Backend

Yield analytics and field data

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Ready when you are

Talk to our IoT app team.

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