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Data · dataset · 2026

XDA28100502 - Crop Growth Monitoring Technology Patent

Listed in ScienceDB

This dataset is based on Vegetation Indices (VIs) and uses a combination of feature importance assessment and correlation analysis to estimate the influence of different features on the model (IMP).

Description

According to the IMP values, iterative analysis is performed to select the optimal feature set, and then a crop leaf nitrogen concentration estimation model is constructed. The dataset uses Python to build a random forest model for estimation, and generates two raster datasets in TIFF format, with a total size of 1.06 GB.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Agricultural biotechnology 74%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.IGA.001d112 d agoJSON v1
FieldAssertionExtractorEvidence
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