In soilless growing environments, maintaining precise environmental and root-zone conditions is critical for maximizing plant health, nutrient uptake, and overall productivity. Integrated sensor systems enable accurate monitoring and control across physical, chemical, and atmospheric parameters.
Precision Moisture Management in Substrates
Moisture (scaled frequency), VWC, and soil moisture sensors provide real-time data to fine-tune irrigation, ensuring optimal water availability without over- or under-watering.
Salinity Control for Root Zone Health
Salinity sensors help track salt levels in nutrient solutions or substrate, protecting plants from salt stress, nutrient imbalance, and reduced growth performance.
Nutrient Optimization through Conductivity Monitoring
Bulk electrical conductivity sensors give insight into the concentration of dissolved nutrients, helping maintain ideal feeding conditions and minimizing nutrient waste or toxicity.
Leaf Wetness Monitoring for Disease Prevention
Leaf wetness sensors detect surface moisture, enabling growers to adjust humidity, airflow, or irrigation to reduce the risk of fungal and bacterial diseases.
Temperature Control for Growth and Metabolism
Both ambient and substrate (soil) temperature sensors help ensure ideal thermal conditions for root activity, plant metabolism, and nutrient absorption.
Atmospheric Monitoring for Optimal Growth Conditions
Humidity, barometric pressure, and CO₂ sensors allow fine-tuning of air composition and ventilation in enclosed or semi-enclosed grow spaces, enhancing photosynthesis and plant vitality.
Enhanced Climate and Irrigation Automation
Integrated sensor data supports intelligent control systems that automate climate, irrigation, and fertigation processes for consistent and high-quality plant growth.
Uniformity Across Growing Zones
Deploying sensors across trays or sections enables detection of localized issues, ensuring uniform growing conditions and minimizing variability across the plantation.
Support for Sustainable Soilless Production
Real-time monitoring helps reduce water, nutrient, and energy waste, supporting more sustainable and resource-efficient agricultural practices in controlled environments.
Photosynthetically Active Radiation (PAR) Range: From 0 to 4000 µmol m-2 s-1 Temperature Range: From -60 to 80 °C Accuracy: ± 0.2 C Relative Humidity Range: From 0 to 95% CO2 Range: From 0 to 2000 ppm Barometric Pressure From 70 to 110 kPa Calibration Uncertainty ± 5 % Cable Length: 5 meter LoRaWAN® class A External power supply: 5.0 V regulated, 0.3 A max.
CO₂ Range: From 0 to 10,000 ppm Accuracy: ±50 ppm, ±3% of the reading Temperature Range: From -40 to +125 °C Accuracy: ±0.3 °C Relative Humidity Range: From 0 to 100% RH Accuracy: ±2% RH Barometric Pressure Range: From 300 to 1,100 hPa Accuracy: ±1 hPa absolute, ±0.12 hPa relative 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
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
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
Range: LW < 0.11: dry leaf LW >= 0.11: wet leaf LW >= 0.27: totally wet leaf Resolution: < 0.000001 Cable Length: 5 meter LoRaWAN® class A 2 C alkaline batteries
Optimal Water and Nutrient Management
Moisture, VWC, and EC sensors help deliver exactly the right amount of water and nutrients to each plant, improving uptake, minimizing waste, and preventing root zone imbalances.
Higher Crop Yields and Consistent Quality
Precise environmental and root-zone control ensures optimal growing conditions, leading to healthier plants, faster growth cycles, and more uniform production.
Reduced Risk of Disease Outbreaks
Leaf wetness and humidity monitoring enable proactive responses to conditions that favor fungal or bacterial growth, reducing the need for chemical interventions.
Improved Environmental Control in Closed Systems
CO₂, humidity, temperature, and barometric pressure sensors help fine-tune the grow room climate, enhancing photosynthetic efficiency and plant metabolism.
Increased Efficiency in Irrigation and Fertigation
Real-time feedback allows for intelligent automation of water and nutrient delivery systems, saving resources while maintaining ideal conditions.
Prevention of Salinity and Root Stress
Salinity sensors provide early warnings of salt build-up, preventing damage to roots and supporting healthy nutrient absorption.
Data-Driven Decision Making
Access to reliable sensor data gives growers full visibility into their system's performance, allowing continuous optimization and rapid troubleshooting.
Scalability and Remote Management
Sensor networks support scalable, remote-controlled growing environments — ideal for vertical farms, greenhouses, and indoor growing systems aiming for consistent, year-round output.
Empower your soilless cultivation with data-driven precision maximize yield, minimize waste, and grow smarter every day.
