DEV Community: Yevheniia Mala

How Edge Computing Protects Brazil's Remote Coffee Farms

Yevheniia Mala — Tue, 25 Nov 2025 14:00:00 +0000

Droughts, unpredictable rains, and pests can wipe out as much as half of a harvest. For Brazil, which supplies 40% of global coffee, these aren't hypothetical risks. Under extreme weather conditions, farms can lose an estimated 20% - 50% of annual yields. Brazil's coffee exports generated $10.37 billion in 2024 (Statista), making these losses economically devastating for both individual farms and the national economy.

Traditional farming relies on experience and scheduled interventions, but climate change and rising global demand have made this approach insufficient. On top of that, many plantations are located in remote regions, far from reliable infrastructure. Farmers face labor shortages precisely when they need more intensive monitoring and faster response time.

Edge computing changes this equation. By processing data locally and automating responses without depending on constant connectivity, platforms like ThingsBoard Edge allow farmers to monitor soil conditions, control irrigation, and prevent crop loss—even when the internet fails for days. This is exactly why Brazil's most progressive coffee farmers are adopting edge-enabled IoT solutions.

This article is the third part of our series on IoT in Brazil. In earlier stories, we explored Brazil's connectivity paradox, and how edge computing enables life-saving healthcare monitoring in remote communities. Now, we explore how the same technology protects Brazil's most valuable crop.

How Edge Computing Makes It Work

Remote coffee farms need an IoT platform that continues to operate when the Internet fails, and syncs with cloud for analytics when connectivity returns. ThingsBoard's Edge-Cloud architecture was designed precisely for this scenario. Here's how the components work together to provide continuous monitoring and automation regardless of network conditions:

Collect

ThingsBoard Edge integrates with any sensor type via the variety of supported protocols. In coffee farming deployments, this typically includes:

Soil sensors: Moisture, pH, NPK nutrients, temperature (LoRaWAN/Modbus)
Weather stations: Rainfall, humidity, wind, solar radiation (MQTT)
Crop monitoring: Drone imagery, pest traps, disease detection cameras
Equipment telemetry: Pump status, valve positions, water tank levels

All sensors transmit to local gateways, which aggregate and normalize data in real-time, no cloud connection required.

Connect

For sensor communication, LoRaWAN provides 5-15km range with minimal power consumption—ideal for coffee plantations where cellular coverage is spotty. Sensors can operate for years on battery power while continuously feeding data to the local edge gateway.

Visualize

ThingsBoard dashboards provide multiple visualization layers accessible from desktop or mobile:

Farm overview: Interactive map displaying all sensor locations, current readings, and active alerts
Zone details: Drill down into specific plots to see soil moisture trends, irrigation history, and yield comparisons
Equipment status: Monitor pump operations, valve positions, and system health in real-time
Historical analysis: Compare conditions across seasons, identify patterns, optimize resource allocation

Figure 1. Smart irrigation dashboard

Farm managers access these dashboards via web browser, even during internet outages. See how IoT data visualization works in practice.

Automate

ThingsBoard's Rule Chain engine transforms data into action via:

Complex multi-condition logic:

// Automated Irrigation Rule Example
IF (soil_moisture < 25% 
    AND weather_forecast.rain == false 
    AND water_reservoir > 40%) 
THEN {
    activate_drip_irrigation(duration: 2hrs, zones: affected_zones);
    send_notification(manager, "Irrigation activated in Zone A");
}

Alert prioritization:

Critical events (pest detection spike) → SMS + push notification
Warnings (gradual pH drift) → Email summary
Info (scheduled maintenance due) → Dashboard notification

These rules are executed locally on Edge, all without internet dependency. Explore our smart irrigation solution showing how to manage farming processes intelligently.

Figure 2. ThingsBoard Edge architecture for coffee farm deployment. Sensors communicate via LoRaWAN to the local gateway, which processes all data and automation locally. ThingsBoard Cloud provides long-term analytics and remote access when connectivity is available.

This architecture addresses the fundamental challenge of remote IoT: maintaining operational continuity when connectivity is unreliable. For Brazilian coffee farms hundreds of kilometers from infrastructure, this is the difference between 24/7 crop monitoring and systems that go dark during multi-day outages.

Explore real-world IoT success stories in agriculture.

Two Farms, Two Approaches: Traditional vs. Edge-Enabled Farm

To clearly understand the real impact of an edge-driven strategy, let’s compare two hypothetical 100-hectare coffee farms in interior Minas Gerais with identical conditions. The first one (Farm A) follows traditional farming methods. The other one (Farm B) has deployed ThingsBoard Edge on site. Here's what the operational differences look like:

Table 1. Side-by-side illustrative operational comparison. Note: Figures and behaviors are illustrative, collected from published research on IoT and precision-agriculture systems. Actual results will vary by region, soil, and implementation.

Annual Results Comparison

After 365 days, the small, daily advantages of the Edge-enabled farm compound into a significant financial return.

Figure 4. Key Annual results comparison

The following metrics should also be considered:

Crop Loss Prevention: Early detection of drought stress and pest outbreaks protects an estimated 10–15% more yield compared to reactive traditional methods — directly increasing harvest revenue.
Resource Optimization: Precision irrigation reduces water consumption by 15–30%, while soil monitoring enables targeted fertilizer application reducing overuse by 20–25%. Combined input cost savings: R$25,000–40,000 ($5,000–8,000 USD) annually.
Labor Efficiency: Remote monitoring reallocates ~40% of field surveillance time to higher-value tasks like pruning and harvest planning — increasing productivity without additional hiring.
Equipment Uptime: Predictive maintenance alerts and instant failure detection minimize emergency repairs, preventing costly irrigation disruptions during critical growth periods.

For a 100-hectare farm, these improvements can amount to hundreds of thousands of dollars in preserved revenue and cost savings annually.

Table 2. Side-by-side annual costs comparison. Note: Figures and behaviors are illustrative, collected from published research on IoT and precision-agriculture systems. Actual results will vary by region, soil, and implementation.

By comparing these two approaches, we can estimate annual savings of up to $70,000.

The Path Ahead for Brazil’s Coffee Farms

Brazil's coffee industry won't wait for perfect rural internet connectivity to arrive—and it doesn't have to. While government initiatives continue expanding infrastructure and 5G networks gradually reach more regions, the farms need solutions that work today, in current conditions.

For Brazilian coffee farmers, this isn't about adopting technology for technology's sake. It's about surviving droughts, responding to pest outbreaks in minutes instead of days, and optimizing resource use across plantations too vast for manual monitoring.

This is what we’re exploring in this series: whether protecting elderly patients in rural healthcare facilities, monitoring coffee harvests across remote plantations—the challenge remains consistent. Brazil's digital transformation is happening in regions where connectivity can't be guaranteed. Edge-first architecture isn't a workaround; it's the foundation.

Next in this series: We'll explore how Brazilian cities are using edge computing for smart waste management and urban resource optimization—solving logistics challenges in areas where traditional cloud platforms struggle with scale and connectivity.

Interested in exploring edge-powered healthcare monitoring? Try ThingsBoard Edge platform now for free!

Lifesaving Care: How Edge Computing is Changing Assisted Living

Yevheniia Mala — Tue, 18 Nov 2025 13:58:08 +0000

Brazil has some of the fastest internet speeds in its cities and some of the weakest coverage in its rural regions. For healthcare facilities in those remote areas, this isn’t just an inconvenience, it’s a serious challenge. How do you monitor patients continuously when the internet can’t be trusted?

This is the question we explore in Part 2 of this series. Assisted living facilities in Brazil’s interior offer a clear example of what’s at stake — and how edge computing can make a difference.

The Challenge of Continuous Care

Demand for online healthcare has surged since the COVID-19 pandemic, especially for seniors and people with chronic illnesses. Healthcare facilities face the need to provide continuous patient monitoring, even when Internet connectivity is unreliable.

Traditionally, the only solution was to assign staff to check on patients around the clock. But even that isn’t sustainable. Caregivers can’t be everywhere at once, and the approach is both costly and exhausting.

Modern technology offers a smarter path. Wearable wristbands and smart sensors create a constant flow of data instead of occasional check-ins. Platforms like ThingsBoard compile this information and display it on real-time dashboards, giving caregivers a continuous view of each patient’s location and wellbeing — and the ability to respond immediately when something goes wrong. See how IoT dashboards visualize data in real time.

Figure 1. The ThingsBoard Edge dashboard showcases visualized data in an assisted living facility.

Measuring the Impact

Implementing IoT in healthcare facilities isn’t just a technical upgrade. While it requires upfront investment, the return on investment is compelling.

The benefits of implementing remote patient monitoring (RPM) systems are being studied around the world. While specific results vary by facility type, patient population, and implementation scope, these benchmarks demonstrate the potential impact:

Table 1: Relevant global benchmark numbers. Sources: Remote Patient Monitoring Statistics and Facts by S.Revankar; Remote Patient Monitoring: The Cost Savings and Readmission Reductions for Specific Medical Conditions in Home Care by The Remington Report.

Of course, there are other metrics that demonstrate RPM efficiency, but mostly the results are achieved through alerting caregivers to potential emergencies before they turn into real ones.

Why This Matters for Brazil

Let’s consider Brazil’s rural context:

Around 16% of Brazilians (approximately 30 million people) live in rural areas, often far from hospitals and clinics.
Aging population, with growing chronic disease burden, particularly diabetes, hypertension, and heart disease.
Emergency medical transport often involves long-distance travel over unpaved roads.
Public and private health providers alike face rising costs.
Internet connectivity remains unreliable, with 42% of rural residents lacking network access.

In such a context, the RPM systems become even more critical. Edge-enabled monitoring allows caregivers to catch problems early, prevent unnecessary hospital transfers, and reduce the burden of constant manual patient oversight. Solutions like ThingsBoard Edge turn these capabilities into reality, helping providers deliver reliable care even where resources and connectivity are limited.

Inside the System: How ThingsBoard Edge Makes It Work

Both cloud and edge computing are capable of handling continuous health monitoring. However, considering patchy Internet coverage across Brazil, edge computing is crucial. With ThingsBoard Edge, all patient data is processed locally, so monitoring continues without interruption during Internet outages. Once connectivity returns, the system automatically synchronizes with ThingsBoard Cloud, ensuring nothing is lost.

Here's how the technical implementation works:

Wearable wristbands track vital signs like heart rate, oxygen levels, etc., while smart sensors monitor room conditions like temperature and humidity.
All data is sent through gateways via standard protocols such as BLE, LoRaWAN, or MQTT.
At the local level, ThingsBoard Edge processes the data in real time, linking it to specific residents, rooms, and zones.
If a resident's vitals deviate from their baseline, the Rule Engine triggers automated alarms, sending instant notifications to caregivers.
Caregivers can access real-time dashboards that display alarms, patient status, and environmental conditions at any time.
Historical data can be sent to ThingsBoard Cloud for long-term storage, advanced analytics, and compliance reporting.

Figure 2. ThingsBoard Edge architecture for living assistance deployment. Sensors communicate via LoRaWAN, BLE, or other protocols to the local gateway, which processes all data and automation locally. ThingsBoard Cloud provides long-term analytics and remote access when connectivity is available.

For healthcare providers, implementation speed often determines success. ThingsBoard Professional Edition (PE) offers pre-built healthcare monitoring templates — including dashboards, alert logic, and device profiles — enabling facilities to deploy pilot systems in days rather than weeks. The open-source Community Edition supports equivalent functionality with additional configuration time.

Why It Pays Off

Implementing RPM systems and IoT solutions like Thingsboard Edge isn’t only about the return on investments — it’s also about the direct benefit to the people you care for. Explore our smart assisted living solution showing how IoT-enabled monitoring works in healthcare. Here’s what that looks like in practice:

Prevent unnecessary hospital visits and readmissions. Continuous monitoring can detect early signs of trouble, allowing caregivers to step in before a crisis occurs.
Optimize staff workload. Instead of spending hours on repetitive manual checks, caregivers can focus on residents who actually need attention.
Lower infrastructure costs. Local data processing reduces reliance on constant, high-availability internet and keeps facilities from paying for expensive connectivity just to run safety systems.
Shift from reactive to proactive care. Instead of waiting for the next check-in to uncover an issue, staff have a continuous, objective stream of health data for every resident.
Improve wellbeing for everyone. Safer, calmer environments reduce burnout for staff while giving families peace of mind that their loved ones are always being looked after.

Beyond the Technologies

Technology alone won’t solve the challenges of rural healthcare. What makes a difference is how it’s applied. In regions with near-absent connectivity, healthcare facilities can leap forward by combining simple devices with intelligent platforms like ThingsBoard. The result is a system that not only keeps patients safer but also helps staff work smarter, reduces costs, and strengthens the overall fabric of community care.

As connectivity continues to expand, these edge-first solutions will form the backbone of more resilient healthcare networks — not just in Brazil, but in remote communities everywhere.

Next in this series: We’ll explore how Brazilian farmers are using IoT and edge computing for surviving droughts, responding to pest outbreaks, and optimizing resource use across plantations too vast for manual monitoring.

Interested in exploring edge-powered healthcare monitoring? Try ThingsBoard Edge platform now for free!

One Country, Two Internets: How Edge Computing Solves Brazil's Connectivity Crisis

Yevheniia Mala — Tue, 11 Nov 2025 14:00:00 +0000

We don’t realize how accustomed we are to having easy access to the internet. Every morning, we sit in our cars and check for traffic or the latest news without giving it a second thought. We don’t think about how it works. It just works. But what if it didn’t?

Over the last decade, the Internet of Things (IoT) has changed the way we live and work. In countries like Brazil, the contrast is stark: a business owner in São Paulo enjoys 5G speeds while a farmer 200 kilometers away struggles with patchy 3G. This digital divide limits both business and personal opportunities. Despite the government initiatives, persistent obstacles continue to slow down the adoption of the IoT, ultimately holding back economic growth.

ThingsBoard Edge offers a way forward. Unlike cloud-only IoT platforms that fail when connectivity drops, ThingsBoard Edge provides a complete local IoT infrastructure that processes data locally and automatically synchronizes with ThingsBoard Cloud when connections are restored.

In this series, we explore Brazil’s connectivity challenges and the technologies helping to overcome them, starting with the current state of Internet access.

Connectivity in Brazil: A Mixed Reality

5G Internet became available to residents of Brazil in 2022, and by the end of 2024, it ranked 39th in mobile Internet and 27th in fixed broadband according to Ookla. By August 2025, the mobile speed jumped from 80.97 Mbps to 239.43 Mbps, pushing Brazil up to the fourth place worldwide.

Despite the impressive rankings, reality tells a different story. While a commuter in Rio de Janeiro can stream real-time traffic updates on a 5G phone, a caregiver in Mato Grosso struggles to access the Internet. In fact, 2G and 3G devices remain in active use across rural Brazil simply because they are the only reliable option.

Coverage maps show the divide clearly:

For example, Claro Mobile, one of the largest telecom providers in Latin America, provides excellent 4G/5G service throughout São Paulo’s metropolitan area, yet the coverage in the State of Maranhão is much weaker.

The official statistics just confirm the gap. A June 2024 report by Anatel found that while 99.7% of urban Brazilians enjoy network coverage, 42.31% of rural residents have no network access at all. For context, that’s roughly 6 million people living in digital silence, including the farmers, manufacturers, and communities that form the backbone of Brazil’s economy.

For schools, clinics, and businesses in these regions, the implications are huge. Limited access means children missing out on online education, patients unable to use telemedicine, and small businesses stuck with outdated technology.

This is where edge computing proves invaluable. Instead of sending every piece of data to distant cloud servers (which requires constant internet), edge computing processes information right where it’s generated — in your factory, farm, or facility. Critical operations continue running regardless of connectivity issues, with all data automatically synchronized when internet service resumes.

This is exactly the approach ThingsBoard Edge takes: providing full IoT functionality locally while seamlessly integrating with ThingsBoard Cloud when connectivity allows.

The Future of the IoT in Brazil

The Brazilian government isn’t standing still. In 2019, it launched a National Plan for IoT, laying out strategies across education, innovation, tax regulation, security, and privacy.

Thanks to these initiatives, Brazil’s IoT market is experiencing constant growth. According to Grand View Research, Brazil’s cloud computing sector is projected to reach USD 41.73 billion by 2030 — a massive 23.8% annual growth rate.

Edge computing is growing twice as fast, with Grand View Research forecasting the edge market will reach USD 11.3 billion by 2030 at a 46.1% CAGR.

Government-backed initiatives are creating unprecedented demand for IoT solutions, but also highlighting the connectivity challenges that traditional cloud-only platforms can’t solve. This is precisely when edge computing becomes essential. This dual approach unlocks possibilities across Brazil’s key industries:

Agriculture: Automated irrigation systems that optimize water usage even when cellular towers are 50+ kilometers away
Energy: Remote monitoring of wind farms and solar installations without waiting for spotty connections
Logistics: Real-time fleet tracking through Brazil’s vast rural highways, ensuring no shipment data is ever lost
Manufacturing: Smart factories that maintain full operational intelligence during network outages, preventing costly downtime.

Putting IoT into Practice

While connectivity challenges persist across rural Brazil, the momentum for IoT innovation is unstoppable. With strong governmental support, faster mobile networks, and growing investment in both edge and cloud computing, the foundation for the next wave of digital transformation is already in place.

What does this look like in action?

In the second part of this series, we’ll take you inside real Brazilian deployments using ThingsBoard solution templates — from assisted living systems enhancing elderly care safety to precision agriculture systems optimizing irrigation in remote fields to smart city waste management streamlining collection routes. You’ll see implementation strategies, technical approaches, and proven methodologies that work today, even in Brazil’s most connectivity-challenged regions.

➡️ Stay tuned to see innovation at the heart of Brazil’s digital revolution — and discover how ThingsBoard Edge bridges the gap between unreliable connectivity and reliable IoT performance.

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