Why Wildlife and Livestock Tracking Needs Spatial Intelligence, Not Just GPS For more than two decades, wildlife and livestock tracking has been framed as a location problem. Where is the animal now? Where was it yesterday? How far did it move this week? GPS collars, satellite tags, and radio telemetry systems have answered these questions increasingly well. Accuracy has improved. Battery life has extended. Coverage has expanded. And yet, for many of the decisions that matter

Why Ground-Level Vision and GeoAI Are Rewriting the Economics of Farm Intelligence Precision agriculture has never lacked intelligence. It has lacked timeliness, locality, and trust. Over the last decade, farms have been mapped, scanned, and analysed from above. Satellite imagery delivers seasonal insights. Drones provide high-resolution snapshots. Cloud platforms convert imagery into indices, charts, and predictions. On paper, this looks like progress. On the ground, many fa

Here's the rule: separate what the partnership is for from what each side contributes, and get both in writing before the excitement of the first meeting turns into an ambiguous handshake agreement nobody can execute against six months later. University-industry partnerships fail less often over bad intentions than over unstated assumptions — a hardware team assumes a research collaboration means co-development rights; the university assumes it means access to publish; nobody

A dairy or aquaculture operation's methane and ammonia emissions are not a rounding error in a sustainability report — they're a measurable, regulatable, and increasingly monetizable quantity, and the sensing technology capable of measuring them at the concentrations that actually matter has moved, in the last few years, from research-lab spectroscopy benches to field-deployable systems. That transition is worth understanding at the architecture level, because trace-gas sensi

The Model Evaluated at 94%. The Deployment Gave 61%. What Happened? The evaluation was thorough. The dataset was representative. The model trained to 94% accuracy on the test split. The confusion matrix looked good. The edge device was deployed with confidence. Three months later, the operations team reported that the system was flagging false positives at a rate that made the alerts meaningless. When the engineering team pulled the raw inference logs, they found that the mod

The Talent Gap Nobody Is Talking About Loudly Enough India is building smart cities, deploying IoT in agriculture, modernising defence electronics, pushing into semiconductor manufacturing, and developing an indigenous space programme. Every one of these initiatives requires embedded systems engineers — people who can write firmware, design PCBs, debug hardware-software interactions, and understand the physics of electronics well enough to make reliable products for harsh env

A Note Before We Begin I am writing this blog directly to you — the engineer who is thinking about joining EurthTech, or who has just joined, or who is curious about what kind of company this is and how we think about the people we bring in. Over the past several months, EurthTech has grown. New engineers have joined the team. Some came from college, bringing the energy and theoretical foundation of a fresh education. Some came from other companies, bringing habits, expectati

The Wrong Starting Point Most connectivity decisions in embedded IoT development begin in the wrong place. They begin with the engineer's familiarity. The team has shipped three products with a cellular module. They reach for cellular again. A developer has spent two weeks getting a LoRa gateway running on a previous project. LoRa goes on the shortlist before the deployment requirements are written. The Wi-Fi stack is already in the microcontroller. Why not use it? This is no

The Graveyard Is Crowded If you have spent time inside agricultural IoT — not on the conference stage, but on the ground — you will have walked past the evidence. Solar-powered sensor nodes zip-tied to fence posts, screens long dead. LoRa gateways mounted on grain store rooftops, antenna connectors oxidised through from a season of monsoon humidity. Dashboards that were demoed with pride to a visiting delegation, now returning 'Device Offline' for two hundred of the three hun

The Hook: A Number That Feels Like a Win It is a feeling every hardware engineer and product manager recognises. You are deep in a BOM review. Columns of component descriptions, quantities, and unit prices stretch across your screen. Then you find it — an alternative sensor, functionally equivalent on the datasheet, priced at forty percent less than what you originally specified. The procurement team is happy. The timeline looks tighter. You mark the swap as approved and move

Why Edge Vision and Ground-Level Intelligence Are Reframing Agriculture and Environmental Monitoring For the last decade, precision agriculture and environmental monitoring have been dominated by an aerial perspective. Satellites promise macro-level insight. Drones promise high-resolution mapping. Analytics platforms promise predictive models. These tools are powerful, but they come with an implicit assumption: that meaningful understanding of land, crops, and ecosystems must

The Internet of Things (IoT) is a global phenomenon. But unlike the internet, where TCP/IP creates a near-universal layer, IoT connectivity remains fragmented by region. The reason is simple: Spectrum regulations differ across countries. Telecom operator strategies vary. Industry ecosystems have evolved differently. Proprietary protocols and legacy systems remain entrenched in some markets. The result? A logistics tracker built for NB-IoT in China may not work in the US, whil

When we think of IoT at city-scale, agriculture fields, utility grids, or industrial campuses, we need networks that can connect devices spread over kilometers while still keeping power consumption ultra-low. This is where LPWAN (Low Power Wide Area Networks) and sub-GHz technologies shine. They fill the gap between short-range protocols (BLE, ZigBee, Wi-Fi) and cellular IoT (NB-IoT, LTE-M, 5G) by offering: Long-range coverage (1–15 km, sometimes more). Ultra-low power (batte

In the previous article, we explored the big picture of IoT communication technologies. We saw that IoT is inherently multi-protocol, with each technology optimized for a unique balance of range, power, bandwidth, and cost. In this part, we zoom in on one of the most critical pillars of IoT: cellular and satellite networks. These technologies deliver nationwide and global connectivity, allowing IoT devices to connect across cities, countries, and oceans — something short-rang