Free e-book: Discover the world of AIoT
E-book: Discover the world of AIoT

Smart Agriculture: The technology behind a more efficient farm

Go beyond traditional farming. We engineer custom technology for agricultural applications, from livestock tracking and crop monitoring to fleet management, empowering you to build smarter, data-driven solutions for the field.
needCode IoT

We work with Industry Leaders

The challenges with Smart Agriculture

A lack of real-time visibility in agriculture leads to significant operational and financial liabilities. We have identified core challenges that can compromise your bottom line.

Operational inefficiencies

A lack of real-time data on machinery usage, animal behavior, and crop health leads to suboptimal resource allocation and missed opportunities for increased yield.

Asset and livestock security

The difficulty of tracking high-value agricultural machinery and livestock across vast areas increases the risk of theft and makes it difficult to manage herds.

Environmental unpredictability

Manual monitoring of soil conditions and weather is unreliable, leading to inefficient resource usage and reduced crop health.

Integration complexity

Connecting diverse agricultural equipment with different communication standards to a single, unified platform is a major technical hurdle.

Our Solutions

Our expertise in smart agriculture goes beyond simple devices. We deliver a complete, modular ecosystem that connects hardware, software, and analytics into a cohesive, purpose-built system.

01

Data acquisition and protocol translation

Livestock tracking tags

We engineer custom, lightweight wearables that combine GPS for wide-area tracking and BLE/UWB for precise positioning in barns or designated zones. Our tags monitor animal behavior and activity levels, helping farmers detect health issues early.

Sensor integration for crop health

We provide sensor solutions that deliver real-time data on soil moisture, nutrient levels, and crop health to optimize yield and resource management. Our expertise also extends to smart irrigation systems, which use real-time data to automate schedules. We engineer and integrate these sensors to provide a unified platform for crop health monitoring.

Vehicle telemetry & diagnostics

Our solutions seamlessly integrate with a vehicle's CAN bus system to capture a wide range of telemetric data, including engine parameters, speed, and diagnostics. We use our Wired Industrial Protocol Module Set to ensure reliable, robust communication with agricultural machinery.

02

Connectivity and resilience

Long-range wireless stack

We use a modular software stack for wide-area communication protocols, including LTE-M and NB-IoT. Our stack is pre-integrated with our backend systems for rapid deployment and is optimized for low-power operation in remote devices.

Offline resilience

Our trackers are equipped with an Offline Resilience & Backup Module that allows them to continue operating and logging data during network outages. Once the connection is restored, the gateway automatically synchronizes the data with the backend.

Energy harvesting & power optimization

We specialize in designing for ultra-long operational lifespans. Our expertise includes leveraging energy harvesting techniques to create maintenance-free deployments.

03

Analytics and operational intelligence

Multi-source event correlation

Our Multi-Source Event Correlation Engine transforms raw sensor data into intelligent events and insights. It combines data from our trackers and sensors to detect complex scenarios, such as a vehicle entering a restricted zone or an animal exhibiting unusual behavior.

Local automation rules

Our systems enable precise, automated actions based on sensor data. We can implement Local Automation Rules Engines that trigger events, such as adjusting irrigation schedules or sending an alert, without relying on the cloud, ensuring instant, low-latency responses.

Data analytics & insights framework

We turn continuous streams of data into actionable intelligence. Our Data Analytics & Insights Framework supports real-time analysis and historical trend exploration, enabling you to optimize resource allocation and forecast maintenance needs.

What we bring to your project

We don't believe in one-size-fits-all. Our partnership is built on flexibility, allowing you to choose the level of engagement that best suits your needs.

01

Hardware development

We can design and engineer custom UWB tags, anchors, and beacons tailored to your specific application and environment.

02

Software development

We can deliver the core location engine, analytics dashboards, and API integrations that connect with your existing hardware and systems.

03

The complete ecosystem

For a low-risk, end-to-end solution, we can combine our hardware and software expertise to build a complete asset tracking ecosystem from the ground up, providing a seamless, one-stop-shop for your project.

Where our solutions fit

Our modular approach allows us to deliver optimized solutions across multiple applications, solving common problems with uncommon speed and precision.

Livestock management

  • Herd tracking
    Monitor the location and movement of livestock across vast areas, helping to optimize grazing patterns and ensure herd security.
  • Health monitoring
    Use our tags to track animal behavior and activity levels, helping to detect early signs of illness or unusual behavior and improve overall animal welfare.
  • Asset management
    Track the location of high-value agricultural machinery and vehicles, preventing theft and optimizing resource allocation.

Crop & resource management

  • Precision agriculture
    Use our sensors to provide real-time data on soil moisture and nutrient levels, allowing for optimized irrigation and fertilization schedules.
  • Yield optimization
    Our solutions can help farmers monitor crop health and identify areas that require attention, improving overall yield and efficiency.
  • Automated irrigation
    We build solutions that use real-time sensor data on moisture and weather to automate irrigation schedules, reducing water waste and improving crop health.

Read more in our E-books

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Testimonials

“I think the key takeaway from needCode is their ability to adapt and understand the customer's requirements. That took away probably a large portion of what could have been a lot of development time and expense for both companies.”
Bob Folkestad
Bob Folkestad
President at Creative Werks
“One aspect that truly sets needCode apart is its profound expertise in firmware development. Their proficiency in various programming languages, embedded systems and hardware architecture is truly impressive. When faced with difficult problems, their strong problem-solving skills and analytical mindset shine through, allowing them to overcome obstacles with remarkable ease.”
avatar Semeh Sarhan
Semeh Sarhan
CEO at Xtrava
“I worked with needCode while leading the NWTN-Berlin team in 2018. A big chunk for our FW development has been outsourced to them and they had proven to iterate very quickly, following specs and deliver on time. It was great working with them. I recommend working with needCode’s team on any Embedded SW development.”
avatar Marco Salvioli Mariani
Marco Salvioli Mariani
CTO at NWTN Berlin GmbH
“needCode Team proved to be one of the best engineers I have ever met. The part I like the most about the team is the more difficult an obstacle seems to be, the more motivated they were to find a solution and a way forward.”
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Szymon Słupnik
CTO at Silvair
“needCode is an outstanding partner. Their quick follow-up, scalability, and extensive professional network set them apart. Their expertise in wireless technologies has been valuable, supporting us from low-level drivers to architecture discussions.”
avatar Tim Allemeersch
Tim Allemeersch
Director at Qorvo, Inc.
“needCode did a great job improving the firmware of the Vai Kai connected toys and developing new features, surpassing our expectations multiple times. I would definitely recommend hiring Bartek and needCode for the embedded software projects!”
avatar Matas Petrikas
Matas Petrikas
CEO & Co-founder
at Vai Kai UG

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Bartek Kling
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Manufacturing

Modern manufacturing machines are typically equipped with IoT sensors that capture performance data. AIoT technology analyzes this sensor data, and based on vibration patterns, the AI predicts the machine's behavior and recommends actions to maintain optimal performance. This approach is highly effective for predictive maintenance, promoting safer working environments, continuous operation, longer equipment lifespan, and less downtime. Additionally, AIoT enhances quality control on production lines.

For example, Sentinel, a monitoring system used in pharmaceutical production by IMA Pharma, employs AI to evaluate sensor data along the production line. The AI detects and improves underperforming components, ensuring efficient machine operation and maintaining high standards in drug manufacturing.

Logistics & supply chain

IoT devices - from fleet vehicles and autonomous warehouse robots to scanners and beacons - generate large amounts of data in this industry. When combined with AI, this data can be leveraged for tracking, analytics, predictive maintenance, autonomous driving, and more, offering greater visibility into logistics operations and enhancing vendor partnerships.

Example: Amazon employs over 750,000 autonomous mobile robots to assist warehouse staff with heavy lifting, delivery, and package handling tasks. Other examples include AI-powered IoT devices such as cameras, RFID sensors, and beacons that help monitor goods' movement and track products within warehouses and during transportation. AI algorithms can also estimate arrival times and forecast delays by analyzing traffic conditions.

Retail

IoT sensors monitor movement and customer flow within a building, while AI algorithms analyze this data to offer insights into traffic patterns and product preferences. This information enhances understanding of customer behavior, helps prevent stockouts, and improves customer analytics to drive sales. Furthermore, AIoT enables retailers to deliver personalized shopping experiences by leveraging geographical data and individual shopping preferences.

For instance, IoT sensors track movement and customer flow, and AI algorithms process this information to reveal insights into traffic patterns and product preferences. This ultimately leads to better customer understanding, stockout prevention, and enhanced sales analytics.

Agriculture

Recent research by Continental reveals that over 27% of surveyed farmers utilize drones for aerial land analysis. These devices capture images of crops as they are and transmit them to a dashboard for further assessment. However, AI can enhance this process even further.

For example, AIoT-powered drones can photograph crops at various growth stages, assess plant health, detect diseases, and recommend optimal harvesting strategies to maximize yield. Additionally, these drones can be employed for targeted crop treatments, irrigation monitoring and management, soil health analysis, and more.

Smart Cities

Smart cities represent another domain where AIoT applications can enhance citizens' well-being, facilitate urban infrastructure planning, and guide future city development. In addition to traffic management, IoT devices equipped with AI can monitor energy consumption patterns, forecast demand fluctuations, and dynamically optimize energy distribution. AI-powered surveillance cameras and sensors can identify suspicious activities, monitor crowd density, and alert authorities to potential security threats in real-time, improving public safety and security.

For example, an AIoT solution has been implemented in Barcelona to manage water and energy sustainably. The city has installed IoT sensors across its water supply system to gather water pressure, flow rate, and quality data. AI algorithms analyze this information to identify leaks and optimize water usage. Similarly, smart grids have been introduced to leverage AI to predict demand and distribute energy efficiently, minimizing waste and emissions. As a result, these initiatives have enabled the city to reduce water waste by 25%, increase renewable energy usage by 17%, and lower greenhouse gas emissions by 19%.

Healthcare

Integrating AI and IoT in healthcare enables hospitals to deliver remote patient care more efficiently while reducing the burden on facilities. Additionally, AI can be used in clinical trials to preprocess data collected from sensors across extensive target and control groups.

For example, intelligent wearable technologies enable doctors to monitor patients remotely. In real-time, sensors collect vital signs such as heart rate, blood pressure, and glucose levels. AI algorithms then analyze this data, assisting doctors in detecting issues early, developing personalized treatment plans, and enhancing patient outcomes.

Smart Homes

The smart home ecosystem encompasses smart thermostats, locks, security cameras, energy management systems, heating, lighting, and entertainment systems. AI algorithms analyze data from these devices to deliver context-specific recommendations tailored to each user. This enables homeowners to use utilities more efficiently, create a personalized living space, and achieve sustainability goals.

For example, LifeSmart offers a comprehensive suite of AI-powered IoT tools for smart homes, connecting new and existing intelligent appliances and allowing customers to manage them via their smartphones. Additionally, they provide an AI builder framework for deploying AI on smart devices, edge gateways, and the cloud, enabling AI algorithms to process data and user behavior autonomously.

Maintenance (Post-Release Support)

When your product is successfully launched and available on the market we provide ongoing support and maintenance services to ensure your product remains competitive and reliable. This includes prompt resolution of any reported issues through bug fixes and updates.

We continuously enhance product features based on user feedback and market insights, optimizing performance and user experience.

Our team monitors product performance metrics to identify areas for improvement and proactively addresses potential issues. This phase aims to sustain product competitiveness, ensure customer satisfaction, and support long-term success in the market.

Commercialization (From MVP to Product

Our software team focuses on completing the full product feature range, enhancing the user interface and experience, and handling all corner cases. We prepare product software across the whole lifecycle by providing all necessary procedures, such as manufacturing support and firmware upgrade.

We also finalize the product's hardware design to ensure robustness, scalability and cost-effectiveness.

This includes rigorous testing procedures to validate product performance, reliability, and security. We manage all necessary certifications and regulatory compliance requirements to ensure the product meets industry standards and legal obligations.

By the end of this phase, your product is fully prepared for mass production and commercial deployment, with all documentation and certifications in place.

Prototyping (From POC to MVP)

Our development team focuses on implementing core product features and use cases to create a functional Minimum Viable Product (MVP). We advance to refining the hardware design, moving from initial concepts to detailed PCB design allowing us to assemble first prototypes. Updated documentation from the Design phase ensures alignment with current project status. A basic test framework is established to conduct preliminary validation tests.

This prepares the product for real-world demonstrations to stakeholders, customers, and potential investors.

This phase is critical for validating market readiness and functionality before proceeding to full-scale production.

Design (From Idea to POC)

We meticulously select the optimal technology stack and hardware components based on your smart product idea with detailed use cases and feature requirements (Market Requirements Document / Business Requirements Document). Our team conducts thorough assessments of costs, performance metrics, power consumption, and resource requirements.

Deliverables include a comprehensive Product Requirements Document (PRD), detailed Software Architecture plans, an Initial Test Plan outlining validation strategies, Regulatory Compliance Analysis to ensure adherence to relevant standards, and a Proof of Concept (POC) prototype implemented on breakout boards.

This phase aims to validate the technical feasibility of your concept and establish a solid foundation for further development.

If you lack a validated idea and MRD/BRD, consider utilizing our IoT Strategic Roadmap service to gain insights into target markets, user needs, and desired functionality. Having a structured plan in the form of an IoT Strategic Roadmap before development begins is crucial to mitigate complications in subsequent product development phases.