About Virtual Field Probing (VFP)
Virtual Field Probing (VFP) is a software platform from VAIS designed for remote data collection and analysis. It provides tools for data visualization, real-time monitoring, and reporting so users can make informed decisions based on accurate, timely information. This platform is especially useful for industries that require fieldwork but need to minimize on-site presence. VFP supports various data input methods, allowing users to capture information from different sources, and it includes a user-friendly interface for easy navigation. Key capabilities: data visualization real-time monitoring reporting tools remote data capture user-friendly interface Best for: professionals and organizations that need efficient field data collection and analysis solutions.
Virtual Field Probing (VFP) by Visual and AI Solutions is an innovative geospatial analytics platform that reimagines soil moisture monitoring by replacing traditional field sensors with advanced satellite data fusion and artificial intelligence. Designed for commercial farmers, agronomists, environmental agencies, and crop insurers, it provides high-resolution moisture insights from the surface down to the rootzone, enabling precise irrigation management and risk assessment without the need for physical hardware. The platform is accessed through the FarmGuru dashboard, which offers a clean, GIS-centric interface with high-contrast heatmaps and seamless switching between surface and rootzone views, making complex remote sensing data accessible even to users with limited technical expertise. Its core strength lies in deep learning data assimilation, which combines active and passive microwave sensing with multispectral and hyperspectral satellite data to create a 3D profile of soil hydrology. VFP goes beyond conventional satellite moisture products by delivering hourly updates at 10-meter spatial resolution, providing granular insights for early crop disease detection, drought monitoring, and climate impact assessment.
Pros & Cons
- Requires no physical hardware, eliminating maintenance, cleaning, or calibration in the field
- Can scale effortlessly to monitor thousands of acres across multiple continents simultaneously
- High ten-meter resolution delivers detailed insights that generic satellite monitoring tools often miss
- Accuracy depends on the quality of satellite data and hydrological models, which can vary in complex terrains
- New users need guidance to interpret Rootzone deep learning outputs compared to traditional probe measurements
Features
Key features
Delivers high-accuracy field data and soil moisture insights without requiring the installation of physical hardware or ground sensors.
Utilizes state-of-the-art satellite data, such as the EnMAP hyperspectral mission, to identify geochemical and biochemical plant variables.
Combines multispectral and microwave satellite data from partners like Planet to generate transformative geospatial analytics.
Employs deep learning models to estimate soil moisture at depths of up to 100 cm by correlating surface data with hydrological models.
Predicts crop diseases and status by mapping biophysical variables across terrestrial ecosystems to mitigate climate change impacts.
Provides a comprehensive soil profile view by fusing active and passive microwave sensing for high-accuracy moisture readings.
Additional features
Uses AI-driven remote sensing to simulate physical field probes for soil and crop analysis.
Enables precise soil moisture tracking from surface level to the rootzone without physical equipment.
Delivers detailed surface-level moisture data at a granular scale of up to 10 meters.
Provides regular information refreshes, including hourly rootzone moisture updates for real-time decision-making.
Offers access to archived soil moisture information for selected regions to assist in long-term trend analysis.
Processes satellite imagery to provide a global perspective on terrestrial and aquatic ecosystem health.
Leverages hyperspectral satellite data to identify and map the spread of crop diseases early.
Accesses high-quality multispectral and multiresolution data through Planet’s partner ecosystem.
Provides specific recommendations on when and how much to irrigate to optimize water usage.
Operates continuously across different geographies and climates regardless of ground infrastructure.
Combines surface moisture, soil type, in-situ measurements, and elevation data for accurate sub-surface modeling.
Leverages space-based technology to provide sustainable services for global climate mitigation.
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About Virtual Field Probing (VFP)
Virtual Field Probing (VFP) is a software platform from VAIS designed for remote data collection and analysis. It provides tools for data visualization, real-time monitoring, and reporting so users can make informed decisions based on accurate, timely information. This platform is especially useful for industries that require fieldwork but need to minimize on-site presence. VFP supports various data input methods, allowing users to capture information from different sources, and it includes a user-friendly interface for easy navigation. Key capabilities: data visualization real-time monitoring reporting tools remote data capture user-friendly interface Best for: professionals and organizations that need efficient field data collection and analysis solutions.
Virtual Field Probing (VFP) Details
Virtual Field Probing (VFP)'s In-App Market Place
Does Virtual Field Probing (VFP) have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
Mini Apps
No
Pricing Options
Accepted Payment Currencies
USD ($)
Pros & Cons
- Requires no physical hardware, eliminating maintenance, cleaning, or calibration in the field
- Can scale effortlessly to monitor thousands of acres across multiple continents simultaneously
- High ten-meter resolution delivers detailed insights that generic satellite monitoring tools often miss
- Accuracy depends on the quality of satellite data and hydrological models, which can vary in complex terrains
- New users need guidance to interpret Rootzone deep learning outputs compared to traditional probe measurements
Virtual Field Probing (VFP)'s Support Options
Virtual Field Probing (VFP)'s Alternatives
Planet
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NextAV Geospatial Analytics Platform
NextAV Geospatial Analytics Platform is a geospatial analytics software from NextAV [provides geographic data analysis…
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