Track moving equipment
Capture high-volume GPS data from cultivation machinery and translate it into reliable, usable location information.
Anonymous AgTech case study
Connecting farm equipment, field activity, and operational data
A four-person development team turned an agricultural technology provider’s hardware prototype into a connected web platform for machinery tracking, field mapping, weather monitoring, and operational reporting.
The situation
Farm operations were generating data, but the equipment was still largely offline.
Large farms can cover widely distributed fields and rely on many machines, operators, and contractors. The client saw an opportunity to bring those moving parts into one operational view.
The goal was practical: track machinery, distinguish cultivated from uncultivated land, monitor weather conditions, and turn incoming field data into information that farm teams could use.
The challenge
Make disconnected equipment useful as one operational network.
The software had to connect a hardware prototype with web tools that worked for both the provider and its farm customers.
Understand field activity
Use mapping tools to visualize land boundaries, machinery routes, and the difference between completed and remaining work.
Operate in real conditions
Keep the integrated hardware and software dependable when operators are working across large fields with poor network connectivity.
The solution
A three-part IoT platform connected field hardware, cloud services, and a usable operations interface.
Shinetech’s team took responsibility for both software development and hardware integration. The resulting platform brought data collection, processing, mapping, and reporting into one connected workflow.
- 01
Hardware and GPS integration
Connect custom devices and cultivation machinery so field activity could be captured and tracked.
- 02
Cloud data processing
Use AWS-based services with PHP and Node.js to receive, process, and organize incoming operational data.
- 03
Web operations experience
Give the provider and farm customers a detailed web interface for maps, weather, equipment, reporting, and benchmarking.
How we worked
The product was tested where the work actually happened: inside the machine cab.
The team used two-week iterations so the client could evaluate working software throughout development and provide feedback before the next increment.
Field visits were equally important. Engineers accompanied machine operators, observed the hardware in use, and tested the integrated experience under poor network connectivity. The first extended visit lasted four weeks, followed by additional field validation.
Daily updates, direct messaging, project tools, and weekly video calls kept decisions visible and helped the client coordinate feedback and resources.
01Build
Deliver a working increment.
02Review
Collect direct client feedback.
03Validate
Test with field operators.
04Improve
Resolve issues and refine the next increment.
The result
A working platform that connected machinery, maps, and field data at operational scale.
The initial working product was delivered within three months. The deployed platform then demonstrated its ability to support distributed farms, connected machinery, and substantial data processing.
20+farms supported
150+machines connected
700+ GBof data processed
One connected operational view
Equipment tracking, field mapping, weather information, reporting, and benchmarking were brought into one web experience.
Hardware and software working together
The team moved beyond application development to integrate the client’s custom-built devices into the wider platform.
Client confidence in the team
Client feedback emphasized the team’s technical depth, leadership, efficiency, dedication, and resourcefulness.
Case taxonomy
Searchable by domain, technology, and operational need.
Industry
- Agriculture
- AgTech
- Farm operations
- IoT
Technology
- AWS
- Node.js
- PHP
- GPS
- Google Maps
- Hardware integration
Business need
- Equipment tracking
- Field mapping
- Real-time data
- Offline operations
- Operational visibility
Bring the moving parts together
Need software that connects devices, data, and real-world operations?
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“A fantastic company to work with.” After the initial rapid development project, American Shipping Co. kept two Shinetech developers embedded for nearly four years, supporting internal and external tools and new AI initiatives.
CEO, American Shipping Co. - 5-star Google Review