SoilMateAnalytics provides AI-powered geospatial analysis of large land areas, offering agricultural and forestry analytics tools via an API. The platform helps users understand and manage land resources by delivering insights on soil conditions, crop health, and forest inventory.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations often struggle to efficiently analyze and manage large land areas due to the complexity of geospatial data and the need for specialized expertise. Traditional methods of land resource assessment can be time-consuming, costly, and lack the scalability required for comprehensive monitoring and informed decision-making.
Solution
SoilMateAnalytics offers an AI-powered geoanalytics platform that provides insights into agricultural and forestry land management. The platform leverages remote sensing data and AI models to process large land areas and deliver specific analytics via an API and browser-based interface. By providing tools for assessing soil conditions, crop health, deforestation, and carbon sequestration, SoilMate enables users to understand land resources, spot trends, and optimize land use practices. Users can define an area of interest, request specific analytics, and receive data visualization reports, streamlining the process of geospatial analysis.
Target Audience
The primary target audience includes agricultural businesses, forestry organizations, and environmental agencies that require geospatial analysis for land management, resource monitoring, and sustainability initiatives.
Features
- NDVI index for assessing vegetation health, growth, and predicting field productivity
- Crop Type classification to identify the types and location of crops grown
- Plot Boundary detection to delineate agricultural fields for detailed analysis
- Blooming Index calculation to track the intensity of white blooms for pollination tasks
- Moisture Index determination to assess topsoil moisture levels and identify areas with water stress
- Stone Detection to identify and locate stones within video footage (integrated through a partnership with SAIRS)
- Deforestation/Afforestation Detection to compare forest cover changes over time
- Net Forest Carbon Sequestration calculation to quantify carbon sequestration by forests
- Basic Objects detection to identify visible objects like buildings, vehicles, and vessels from satellite imagery
- Land Use/Land Cover classification to monitor temporal dynamics of landscapes
- API access for integrating geoanalytics into existing workflows