Case Study
Smart Agriculture Sensors
Customer(EU): Local leader in Romania in Agriculture sector.
Challenges
IoT sensors used to monitor soil moisture, temperature, pH levels, and nutrient content in real-time, as well as weather conditions, temperature, humidity, and air quality.
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Real-time monitoring of diverse environmental parameters — The system needed to monitor soil moisture, temperature, pH levels, nutrient content and weather/air conditions (humidity, air-quality).
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Cloud data storage & connectivity across multiple wireless technologies — Data had to be reliably transmitted/collected via WiFi, BLE, ZigBee and stored in the cloud.
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Cross-platform application requirement — A mobile app (and likely web interface) was needed to allow users/plant operators to access the data and control/visualise it.
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Embedded & software stack complexity — The project included embedded code (C/C++), mobile (Flutter), Python, and required static/dynamic analysis, traceability and software architecture definition.
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Integration of heterogeneous sensor networks and IoT stack — Different communication protocols and sensor types mean increased integration effort, ensuring reliable data capture, sensor compatibility, and multi-technology connectivity (WiFi, BLE, ZigBee).
Soltutions
Multi-protocol connectivity implementation — They employed WiFi, BLE and Zigbee networks to ensure sensors of different types could connect and communicate
Cross-platform application built with Flutter and cloud backend (AWS) — By using Flutter for the mobile app and AWS for the cloud backend, they created a unified user experience and scalable data architecture
Comprehensive embedded software development — Embedded C/C++, Python and other languages were used to write firmware, backend logic and mobile layers; along with good SW engineering practices like static/dynamic analysis and traceability
Real-time data acquisition and cloud storage — The system enabled real-time data flow from sensors into the cloud, allowing monitoring of soil & environmental metrics instantly
OEM collaboration and training for long-term partnership — Beyond just delivering the system, they emphasised helping OEMs “grow with technology” via innovation, efficiency improvements, training and education
Key Impact
Improved operational efficiency for agricultural OEMs — Through real-time sensing and data access, OEMs and farmers can make better decisions (on irrigation, nutrients, environment).
Enhanced data-driven farming capabilities — The system moves beyond manual measurement to automated, real-time data capture, enabling more agile responses and planning.
Scalable IoT infrastructure in agriculture — By supporting multiple connectivity protocols and mobile/cloud platforms, the solution is ready for scaling across farms or sensor types
Better decision-making and monitoring for farm operations — Users can monitor soil conditions, weather, nutrients etc remotely, improving oversight and responsiveness.
Applied Methodology
Requirements and architecture definition — They started by defining software requirements, architecture (embedded + mobile + cloud) and detailing design (as indicated in the case description).
Embedded and IoT stack implementation — They developed firmware (embedded C/C++), handled communication via WiFi/BLE/ZigBee, and integrated cloud backend.
Mobile & cloud application development — Using Flutter for the cross-platform mobile app, and AWS (cloud) for data storage & processing
Quality assurance: unit test, static/dynamic analysis and traceability — Applied embedded software engineering practices: unit testing, static/dynamic code checks, traceability of requirements.
Tasks / Responsibilities
Software Requirements
Software Architecture
Detailed design
Code implementation (Embedded C/C++, Flutter, Python)
Unit Test
Static / Dynamic analysis
Traceability
Toolchain / Technologies
WiFi
BLE
Zigbee
Flutter
AWS
Team Composition
1 Project Manager
1 System/Software Architect
3 Software Developers
2 QAs
Cross platform app
%
Real time data
%
Customer Satisfaction
Helping OEMs Grow with Technology
By driving innovation, enhancing operational efficiency, fostering long-term partnerships, and providing training and education, CONCEPTHYPE makes a significant impact on OEMs’ success.
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