SOIL MONITORING USE CASES
Our AITIS predictive AI models forecast environmental changes minutes, hours, days, or weeks ahead so businesses can plan, optimise costs, and take preventive action.
Construction & Infrastructure Development
The stability of the ground directly affects worker safety and structural reliability. Our soil monitoring and prediction models forecast moisture changes, compaction issues, and settlement risks ahead of time. Construction teams can use this insight to adjust scheduling, enhance site safety measures, and prevent costly delays caused by ground instability.
Agriculture & Irrigation Management
Healthy soil is the foundation of healthy crops. Our system predicts moisture changes, nutrient shifts, and pH imbalances that may impact crop performance. Farmers can optimise irrigation and fertilisation schedules based on future soil conditions, reducing water use, saving costs, and improving yields with smarter resource management.
Landscaping, Parks & Green Spaces
Public and commercial landscapes thrive when soil conditions are properly balanced. Our predictive soil analysis helps urban planners and landscapers anticipate nutrient depletion, waterlogging risk, and dry periods. This allows for efficient watering schedules and targeted maintenance, ensuring green spaces stay healthy while minimising resource waste.
Smart Cities & Environmental Agencies
For governments and municipalities, long-term soil stability is crucial for sustainable urban development. Our system provides advanced forecasting of erosion, stormwater infiltration, and land health trends. These insights support smarter planning decisions, reduce environmental risk, and align with long-term sustainability goals.
Hospitals & Healthcare Campuses
Large hospitals often manage landscaped grounds, emergency vehicle zones, and rooftop gardens. Predictive soil monitoring helps facilities teams anticipate waterlogging, erosion, or compaction that may affect drainage systems or plant health. This ensures safe access ways, healthier green areas, and reduced maintenance workloads.