Agriculture & AgriTech
Development of a Precision Agriculture Site Monitoring Platform
An agricultural technology startup in Saudi Arabia came to us to consolidate a spread of agricultural datasets into one interface.
- Industry
- Agriculture & AgriTech
- Location
- Saudi Arabia
- Team
- Software developers, remote sensing specialists, and cloud engineers. The project manager ran the agile development cycle and delivered against client requirements iteratively. The backend team used .NET Core and the ABP Framework for data processing and user management; the frontend team built the interactive experience in Angular. DevOps handled cloud infrastructure scale and performance.
- Stack
- .NET, ABP Framework - Angular, Leaflet - Docker
About the client
Agricultural Tech Startup (Saudi Arabia)
The challenge, and what closed it
Technical challenge
Data Integration: processing large satellite datasets and combining them with real-time weather and environmental data. Interactive Mapping: geospatial visualisations that stay responsive with multiple data overlays. Scalability: the system has to carry a growing user base and larger volumes of geospatial data.
What we did
A web platform that lets farmers, agronomists, and agricultural companies monitor crop health, weather conditions, soil moisture, and elevation from satellite imagery and environmental data. It turns that into real-time input for farm productivity and sustainability decisions. We built a responsive web application with interactive maps, alerts, and reporting. The data comes from Sentinel-2 satellite imagery, the OpenWeather API, and other agronomic datasets. Users get a read on crop performance early enough to act on it and lift yield.
Why us
The development process included: Business analysis and system requirements documentation; Modular architecture design for scalability and flexibility; Backend development using .NET Core and ABP Framework; Frontend development using Angular; Integration of Sentinel-2 satellite data and OpenWeather API; Secure role-based user authentication using OAuth2.0 and JWT; Testing, QA, and cloud deployment (AWS).
Results
The platform gives users accurate real-time weather data. It changed how decisions get made in transport, agriculture, and emergency services. Through the Windy API integration, users track extreme weather events and respond to them in time.
What we delivered
Development of a web-based platform that enables farmers, agronomists, and agricultural companies to monitor crop health, weather conditions, soil moisture, and elevation data using satellite imagery and environmental data. The solution delivers real-time insights to improve farm productivity and sustainability practices.
Tech stack
- Backend
- .NET, ABP Framework
- Frontend
- Angular, Leaflet
- Infrastructure
- Docker
