BearMar builds ranch and agriculture monitoring systems around LoRaWAN radio sensors that solve the two problems that kill most farm telemetry projects: distance and deployment complexity.

A LoRaWAN link reaches up to 8 mi between two fixed points (in the very very best case). For a ranch, that means a tank, pump, gate, or weather station can report back to a building or a home office saving countless hours in windshield time – or worse… when you didn’t check and you should have. Where you are covering many sensors across one property and have power and network at a central point, a LoRaWAN gateway is the right architecture instead: the gateway and its network/backhaul carry a low recurring cost, not zero. Where you have two fixed points and a cable run that costs more than the hardware, point-to-point is usually the answer.

The seven systems in this category cover the jobs we see most: water tank and reservoir level, pump and pressure status, gate open/closed state, soil moisture, and local weather. Sensors can be solar powered, and outputs can alert you by text or email through the equipment you already own.

If you are comparing against a cellular tank monitor, model the recurring fee over five years, not one. If you are comparing against a wired float switch, model trenching, conduit, and labor. Point-to-point systems are built so the hardware cost is the whole cost; a LoRaWAN architecture keeps the recurring cost low, but it is still a recurring cost.Not sure which system fits your property? Contact us with your ranch monitoring scenario, the distance, and the sensor needs. We are in Richland Springs, Texas and we design these links for Texas conditions

What You Can Monitor on a Ranch

Water tanks and reservoirs

Technology	Reliability & Maintenance	Condensation & Environment	Cost & Complexity	Best Use Case
Submerged Water Pressure (Preferred)	High. No moving parts to jam. Debris and algae buildup can be managed with proper physical protection.	Immune to surface condensation since the sensing element sits at the bottom or hangs at a fixed depth below the surface.	Low to Moderate. Requires a vented cable for barometric compensation, but electronics are protected above ground.	Agricultural storage tanks, remote stock tanks, and deep wells where reliability and minimal maintenance are critical. BearMar offers a custom submerged water pressure protection cage specifically designed to safeguard these sensors in rough agricultural water reservoirs.
Ultrasonic	Moderate. Non-contact keeps it out of the water, but beam accuracy depends on clear line-of-sight to the surface.	Severe vulnerability. Morning dew, heavy humidity, and tank condensation frequently collect on the transducer face, causing false echoes and erratic readings.	Moderate. Easy to mount on top of a tank, but requires careful configuration of blanking distances and beam angles.	Closed, clean-water tanks in controlled environments where top-down mounting is straightforward.
Float Switch / Sensor	Low. Highly prone to mechanical failure. Easily jammed by floating debris, mineral scale, sludge, or biological growth (algae/biofilm).	Immune to condensation issues.	Very Low. Simple mechanical or magnetic contact closure.	Basic binary high/low alarms in clean water, but a poor choice for continuous, unattended remote monitoring.

Pumps and pressure

Gates and livestock

Gates and Livestock: Smarter Perimeter and Animal Monitoring via LoRaWAN

Managing acreage and livestock requires continuous visibility across pastures, pens, and perimeters that often stretch miles from the nearest power outlet or Wi-Fi connection. By pairing long-range LoRaWAN telemetry with low-power edge sensing, operators can automate routine visual inspections and secure access points without running trenching wire or driving miles of fence line daily. Simple magnetic contact switches mounted to primary pasture gates, corral latches, and equipment sheds provide instantaneous alerts if a gate is left open or breached. For animal welfare, microclimate sensors continuously track ambient temperature and relative humidity inside barns, shaded loafing sheds, or coops, warning operators of dangerous heat-index spikes or cold-stress conditions before they result in livestock losses.

Beyond basic open/close and environmental data, high-level animal monitoring now extends to edge-intelligence presence detection. Low-power presence sensors paired with on-device AI object detection can classify and count livestock at bottlenecks—such as watering lanes, working chutes, and mineral stations. Because the AI inference happens locally at the edge, only lightweight metadata (such as animal counts, direction of travel, or anomalous inactivity) needs to be transmitted over LoRaWAN. This architecture preserves battery life for years while providing ranchers with actionable tracking data, confirming herd presence, and flagging trapped or missing stock without the massive bandwidth overhead of traditional streaming cameras.

Resource management around livestock and wildlife feeds into the same low-power ecosystem. While optical cameras struggle in dark bin environments and mechanical paddles frequently jam, solid-state LiDAR sensors offer the ideal non-contact solution for monitoring granular material. Mounted to the underside of bin lids, LiDAR emits focused light pulses to accurately measure the distance to the feed line, unaffected by ambient dust or the steep angle of repose common with bulk feeds. This makes LiDAR particularly valuable for remote deer feeders and bulk livestock troughs: rather than guessing fill levels or hauling feed out on rigid schedules, managers receive immediate LoRaWAN alerts when feed levels drop below critical thresholds, optimizing delivery routes and ensuring feeding stations never run dry.

Soil and weather

Soil and Weather: Precision Hydration Through Closed-Loop Telemetry

Effective irrigation management requires closing the gap between atmospheric demand, current soil inventory, and actual water applied. By integrating the BearMar LoRaWAN rain gauge with multi-depth soil condition monitors, operators gain an empirical, real-time balance sheet of their ground moisture. Rather than irrigating on a static timer, producers track critical root-zone parameters including volumetric water content, electrical conductivity (EC), pH, nitrogen-phosphorus-potassium (NPK) nutrient levels, and soil temperature. Correlating tipping-bucket rainfall data directly with deep-soil infiltration curves immediately reveals whether a localized storm actually reached the crop’s root profile or was lost to surface runoff and canopy interception.

To close the control loop, this sensory data integrates with LoRaWAN-enabled latching valve actuators and pump controllers. When soil moisture drops below a designated depletion threshold and no rain is forecast, the system can automatically command remote solenoid valves to open, running targeted irrigation cycles without requiring a manual visit to the well head. Conversely, when the BearMar rain gauge registers an incoming weather event or when soil sensors confirm field capacity has been reached, the system pauses pending cycles, eliminating overwatering, reducing pumping power, and preventing expensive fertilizer leaching.

Verifying that applied water matches intended volumes requires continuous volumetric auditing, which can be accomplished without industrial-scale pricing. By sourcing standard pulse-output water meters—readily available on Amazon—and wiring them to rugged LoRaWAN pulse counters, managers transform off-the-shelf brass or plastic flow meters into telemetry nodes. The digital counter tallies each dry-contact closure, converting gallon- or liter-level pulses into an energy-efficient data packet sent back to your central dashboard. By comparing the exact volume of water pumped against the corresponding rise in root-zone soil moisture, growers can detect pipeline blowouts, calculate irrigation application efficiency down to the drop, and prove precise stewardship of their water resources.

How the System Works

Sensors to radio

How LoRaWAN Works: The Backbone of Connected Agriculture

A LoRaWAN system functions on a hub-and-spoke star-of-stars topology designed specifically to balance extreme radio range, battery longevity, and low data payloads across expansive acreage. At the field edge are the end devices: ruggedized, battery-operated nodes connected to agricultural sensors such as soil probes, tank level pressure transmitters, and gate contacts. When a sensor takes a reading, its internal radio uses LoRa (Long Range) chirp spread spectrum modulation to broadcast the small packet of data over unlicensed sub-GHz spectrum (such as 915 MHz in North America). Because this physical-layer modulation can decode signals well below the ambient RF noise floor, even a milliwatt transmission can travel several miles through crop canopies, rolling topography, and steel barn structures. The nodes remain asleep for the majority of the time, drawing microamps of current and waking only for milliseconds to sample and transmit, yielding multi-year operational life from standard lithium batteries.

Surrounding these field nodes are one or more central LoRaWAN gateways, often mounted on tall infrastructure like grain legs, windmill towers, or standalone solar stations. Unlike Wi-Fi access points or cellular towers that require dedicated pairing, LoRaWAN gateways simply act as transparent listening bridges; any gateway within listening distance that picks up an encrypted packet captures it and immediately forwards it across a standard IP backhaul (typically 4G/5G cellular, satellite, or local Ethernet). Multiple gateways can receive the same transmission simultaneously, which provides spatial diversity and eliminates single points of radio failure across a ranch. The gateways do not process the data or run complex handshakes; they forward the raw radio packets directly upstream, keeping field hardware requirements light and weather-resilient.

At the top of the stack sit the LoRaWAN Network Server (LNS) and Application Server. The LNS handles the intelligence of the network: it de-duplicates redundant packets received from multiple gateways, verifies cryptographic authenticity using the device’s 128-bit AES encryption keys, and adjusts data rates via Adaptive Data Rate (ADR) algorithms to optimize battery performance. Once validated, the decrypted payload passes to the Application Server, which converts raw hex strings into human-readable engineering metrics—gallons remaining in a remote stock tank, root-zone volumetric moisture, or ambient heat index. From there, users view the data via unified dashboards, receive instantaneous SMS threshold alerts, or send downlinks through the network to trigger latching actuators that start a well pump or open an irrigation line.

Frequently Asked Questions

Related Guides (internal links)