SOFT - Development of a Precision Agriculture Site Monitoring Platform

Project Details

An agricultural technology startup in Saudi Arabia approached us to create a system that could consolidate diverse agricultural datasets into a single intuitive interface. The goal was to help farmers monitor their fields using satellite-derived insights such as NDVI and SAVI indices, real-time weather overlays, and field-based trend analysis tools. The application needed to be scalable and reliable to support farms of various sizes, while offering secure access and customizable dashboards for different user roles. We developed a responsive web application with interactive maps, alert systems, and reporting features. Data sources included Sentinel-2 satellite imagery, OpenWeather API, and other agronomic datasets. The platform empowers users with insights into crop performance, allowing them to take timely action and improve yield outcomes.

Client: Agricultural Tech Startup (Saudi Arabia)
Sector: Agriculture Technology
Sub Sector: Precision Agriculture and Remote Sensing

Services:

Full-cycle software development
Satellite data integration
Custom UI/UX design
Cloud-based architecture
Geospatial analytics

Solution:
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.

Location: Saudi Arabia

Technology and Software:

Database: PostgreSQL
Cloud services: AWS (EC2, S3)
Front-end: Angular
Back-end: .NET Core with ABP Framework

People:
The team comprised software developers, remote sensing specialists, and cloud engineers. The project manager led the agile development cycle, ensuring client requirements were met through iterative delivery. The backend team used .NET Core and the ABP Framework to handle data processing and user management, while the frontend team delivered an interactive experience using Angular. Our DevOps specialists ensured cloud infrastructure scalability and performance.

Process & Challenges

Process:
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).

Challenges:

Data Integration: Processing large satellite datasets and combining them with real-time weather and environmental data.
Interactive Mapping: Delivering fast and responsive geospatial visualizations with multiple data overlays.
Scalability: Ensuring the system can support a growing user base and increasingly large volumes of geospatial data.

Result

The result was the creation of a powerful platform that provides users with accurate real-time weather data. The platform significantly improved decision-making for users in sectors such as transport, agriculture, and emergency services. Thanks to the integration with the Windy API, users can track extreme weather events, allowing for timely responses to potential risks.

Our Team

Ievgen Lavrishko

CEO & Owner

Khrystyna Bochko

HR Generalist

Alevtyna Kostianchuk

Senior Project Manager

Andriiana Pavlyshyn

Head of Business Development

Roman Nahaiovskyi

Project Manager

Maria Kizim

Lead Generation Specialist

Ivanna Soltys

Tender Manager

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