Modern forestry management faces growing challenges, from climate change and water scarcity to forest health monitoring and sustainable resource use. IoT-based sensor systems, such as dendrometers, soil moisture sensors, and temperature monitoring devices, offer forest managers reliable data that helps optimize decision-making and secure long-term forest resilience.
are advanced sensors designed to measure plant growth dynamics and structural health in real-time. Their objectives focus on optimizing crop management and supporting scientific research. These include:
Monitor Plant Growth:Track stem and trunk diameter variations to understand growth trends and health status over time.
Water Stress Detection:Identify water deficiency through shrinkage and expansion patterns, allowing timely irrigation actions.
Environmental Response Analysis:Study plant reactions to temperature, humidity, and soil conditions to improve adaptive cultivation.
Yield Prediction Support:Provide real-time growth data that feeds predictive models for more accurate crop yield forecasting.
Irrigation Optimization:Enable precise water management by directly correlating plant growth feedback with soil moisture conditions.
Research & Development:Support long-term agricultural studies on growth cycles, seasonal trends, and climate adaptation strategies.
Tripping Bucket Accuracy: 2% up to 25 mm/hr 3% up to 50 mm/hr Resolution: 0.1 mm per tip Catchment area: 200 cm2 Length cable: 1m (longer cable on request) LoRaWAN® class A 2 C alkaline batteries
Sub-surface 600 mm profile with 6x capacitance-based soil moisture and soil temperature sensors Moisture / Scaled Frequency Unit Range: From 0 (air) to 100% (water) Resolution: 0.01 Accuracy: ±1% at calibration Temperature Range: From -20 to +50 °C Resolution: 0.1 °C Accuracy: ±0.2 °C, 0.1% per °C Length cable: 5m *Custom profile configuration and length on request LoRaWAN® class A 2 C alkaline batteries
Soil Moisture Range: From 0 to 100 % volumetric water content (VWC) Resolution: 0.01 % Accuracy: ±0.03 % Soil Temperature Range: From -20 to 60 °C Accuracy: ±2.0 °C at 25 °C Resolution: ±0.01°C *Inaccuracy can be higher under moderate-to-high solar radiation. Salinity Range: From 0 to 8000 volumetric ion content (VIC) Accuracy: Not specified *600 mm probe length, 6 soil moisture, temperature and salinity sensors. Other lengths, number of sensors: contact us
Volumetric Water Content (VWC) Range: Mineral soil: From 0.00 to 0.70 m³/m³ Soilless media: From 0.0 to 1.0 m³/m³ Apparent dielectric permittivity εa: 1 (air) to 80 (water) Resolution: 0.001 m³/m³ Accuracy: ±0.03 m³/m³ (±3% VWC) typical in mineral soils Temperature Range: From -40 to +60 °C Resolution: 0.1 °C Accuracy: ±0.5 °C from −40 to 0 °C, ±0.3 °C from 0 to +60 °C Bulk Electrical Conductivity Range: From 0 to 20 dS/m (bulk) Resolution: 0.001 dS/m Accuracy: ±(5% +0.01 dS/m) from 0 … 10 dS/m, ±8% from 10 … 20 dS/m Cable length: 5 meter LoRaWAN® class A 2 C alkaline batteries
Dendrometer / Linear Position Range: From 0 to 20'000 μm Resolution: < 0.05 μm Cable Length: 1 meter
Dendrometers provide continuous, real-time measurements of tree stem and trunk growth. This precise data allows forest managers to monitor tree development, detect growth stagnation, and identify early signs of water stress. By observing daily and seasonal growth patterns, dendrometers help predict the impact of environmental changes and allow for timely interventions. They also support sustainable forestry practices by providing solid data for harvesting cycles, thinning strategies, and ecosystem health evaluations.
Soil Moisture Monitoring is essential in forestry to understand the water balance within a forest ecosystem. Accurate soil moisture data enables better planning for irrigation in plantations, higher survival rates for newly planted trees, and improved drought resilience. Monitoring soil moisture levels also plays a key role in wildfire prevention, as dry soils can indicate higher fire risk. For reforestation and afforestation projects, soil moisture sensors are especially valuable for ensuring young trees have the best possible conditions for establishment and growth.
Temperature Monitoring contributes vital information about the microclimate of forest environments. Air, soil, and canopy temperatures directly affect tree physiology, growth speed, and health. Continuous monitoring helps detect extreme weather events such as frost or heatwaves, which can damage tree populations. Additionally, temperature data improves pest and disease risk forecasting, supports climate adaptation strategies, and enhances fire behavior prediction models by providing real-time environmental insights.
On Request: Different shapes for Dendrometer
Ready to take forest management to the next level?
Discover how real-time data from dendrometers, soil moisture sensors, and temperature monitoring can help you protect your forests, optimize growth, and prepare for the future.
