Two new open-source models from NASA Harvest and @agmatixhq use satellite-derived NDVI time series to answer two related questions: what stage of growth is a crop in, and how many cropping cycles has a field gone through?
🔗nasaharvest.org/news/nasa-ha…
ALT The Crop Cycle Detection model analyzes changes in NDVI over time to identify individual growing seasons. In this example, the model detects three cropping cycles and estimates the start, peak, and end of each season. Orange points show the raw NDVI observations, while the blue line shows the processed, interpolated time series used by the model.
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The Crop Stage Detection model estimates one of five broad crop stages and is being tested in a near-real-time harvest detection workflow for corn and soybean fields in North Carolina.
ALT The model divides a typical seasonal NDVI curve into five broad stages, from bare soil, planting, and emergence through rapid growth, peak maturity, senescence, and post-harvest conditions.
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The Crop Cycle Detection model has already been applied across ~53,000 North Carolina fields to examine season timing and cropping intensity.
Both models are open source, with additional tools to make them easier to use.
nasaharvest.org/news/nasa-ha…
Sep 23, 2026 · 7:41 PM UTC
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