How does OneSoil identify field boundaries and what is the accuracy of this detection?
OneSoil automatically detects field boundaries using satellite images. This proprietary technology allows users to add their fields with a single click, leveraging pre-analyzed satellite data for efficient setup.
Beyond NDVI, what other specific vegetation indices or data points does OneSoil analyze for crop health monitoring?
In addition to the NDVI vegetation index, OneSoil analyzes growing degree-days and accumulated precipitation charts. These data points provide a comprehensive view of plant development and environmental conditions impacting crop health.
Can I integrate data from my farm's on-board computers directly into the OneSoil web app for analysis?
Yes, the OneSoil web app allows users to upload files directly from on-board computers. This enables the analysis of fieldwork results, providing deeper insights into operations and supporting variable-rate technology planning.
What is the scope of OneSoil's field boundary detection, and how much of the world's arable land is currently covered?
OneSoil has defined field boundaries in 57 countries. As of 2020, approximately 4.5% of the world's arable land is registered within the OneSoil platform, indicating extensive global coverage.
How does OneSoil assist in creating variable-rate application maps for fertilizers and seeds?
OneSoil provides tools within its web app for variable-rate application. By analyzing NDVI maps and other data, users can identify zones within their fields that require different amounts of inputs, allowing for the creation of optimized application maps to save on seeds and fertilizers.
What is the difference between the OneSoil app and the OneSoil Yield app mentioned in the platform description?
The OneSoil platform includes the OneSoil app (referring to the primary mobile and web applications for monitoring and scouting) and the OneSoil Yield app. OneSoil Yield is a more specialized, AI-assisted agronomy platform designed to help farmers specifically increase productivity, reduce waste, and protect the environment, suggesting it offers advanced yield optimization features beyond the core monitoring tools.