Smart Agriculture & Soil Monitoring
LoRaWAN-Based Smart Agriculture & Soil Monitoring.
A large-scale agricultural cooperative managing 8,500 hectares of farmland across the Sakarya-Bolu corridor was struggling with inefficient irrigation scheduling, over-fertilization, and crop losses due to late frost detection. Traditional manual soil sampling was expensive, infrequent, and failed to capture spatial variability across their diverse terrain.
Artes Solution deployed a LoRaWAN-based precision agriculture network with 350+ wireless sensor nodes monitoring soil moisture at 3 depths (10cm, 30cm, 60cm), soil temperature, electrical conductivity (EC), soil pH, ambient temperature/humidity, and leaf wetness. 6 LoRaWAN gateways provide coverage across the entire farming area with ranges up to 12km in the open terrain, all powered by solar panels with battery backup for year-round operation.
The platform reduced water consumption by 32% through data-driven irrigation scheduling, decreased fertilizer costs by 22% with zone-based variable rate application maps, and prevented an estimated $180,000 in crop losses during the first winter through automated frost alerts that triggered protective measures 4-6 hours before freezing events.
Project Results
-
Water Savings
32% -
Fertilizer Reduction
22%
System Architecture.
Custom Sensor Nodes
Custom-designed PCBs with STM32L4 ultra-low-power MCU, Semtech SX1276 LoRa transceiver, and multi-sensor interface. Each node measures soil moisture (capacitive), soil temperature (DS18B20), EC, pH, ambient conditions (BME280), and leaf wetness. Solar-powered with 3.7V LiPo battery achieving 18-month operation without maintenance through aggressive sleep scheduling.
LoRaWAN Network
6 outdoor LoRaWAN gateways (RAK7249) with GPS sync and 4G cellular backhaul providing full coverage across 8,500 hectares. ChirpStack network server with ADR (Adaptive Data Rate) optimization ensures reliable communication even from the most remote field corners. Class A device operation minimizes power consumption with configurable uplink intervals.
Smart Irrigation Engine
Evapotranspiration (ET0) calculation using FAO Penman-Monteith method combined with real-time soil moisture data to generate zone-specific irrigation recommendations. Integration with existing drip irrigation controllers via Modbus RTU enables automated valve scheduling that applies the right amount of water at the right time to each management zone.
Frost Alert System
Microclimate temperature modeling using sensor data and topographic features to predict frost events 4-6 hours in advance. Automated SMS and push notification alerts to farm managers with recommended protective actions (irrigation activation, fabric deployment). Cold air pooling detection in valley areas enables targeted protection of high-value crops.
Variable Rate Maps
Spatial interpolation (kriging) of soil EC and nutrient data to generate variable rate application maps for fertilizer spreaders. Zone delineation based on soil type, topography, and historical yield data enables precision application that reduces input costs while maintaining or improving crop yields across heterogeneous field conditions.
Farmer Mobile App
Flutter-based cross-platform mobile app with map-based field visualization, sensor data charts, irrigation recommendations, and alert management. Offline-capable with local data caching for use in areas with poor cellular coverage. Photo documentation feature for crop scouting with GPS-tagged field observations linked to sensor zones.
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