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Chenopodium Album

Chenopodium Album

Chenopodium Album is a fast-growing annual broadleaf weed recognized by its triangular or goosefoot-shaped leaves and its gray-white, powdery coating on young foliage. The plant produces many small, green, inconspicuous flowers that form dense clusters along the upper stems and branches. Because of its variable leaf shape and mealy texture, it can look slightly different depending on growth stage and environment, but these features make it identifiable in agricultural fields.

 

This weed reproduces entirely by seed and is highly prolific, with a single plant capable of producing tens of thousands of seeds. Germination is often strongest near the soil surface and can be influenced by light exposure, while seeds can remain viable in the soil for many years, creating a persistent seedbank. Spread occurs mainly through contaminated soil, farm equipment, manure, and crop seed, allowing it to move easily between fields and survive across multiple growing seasons.

 

Common lambsquarters competes strongly with many crops, especially corn, soybeans, and various vegetables, where it reduces yield and complicates weed management. It is widely distributed across temperate agricultural regions, occurring throughout most of the United States—particularly the northern Corn Belt—across nearly all of Canada, and throughout Europe, where it is native and commonly found in arable land and disturbed soils.
 

We employ a cutting-edge, real-time object detection model to identify Chenopodium Album and other invasive species efficiently. This model is designed to balance high-speed inference with accuracy, making it ideal for real-time applications.

Ready to elevate your Images/Videos?

How it works?

Easy to use online cloud-based web service

1
Upload Images/videos
Step 1

Upload Images/videos

Aerial videos/images in various formats Orthophoto/TIFF images RGB, multispectral, thermal Surveillance (CCTV) cameras Agricultural machinery camera

2
Processing
Step 2

Processing

in second

3
Download output
Step 3

Download output

Weed distribution map with GIS data Weed clustering map with GIS data (GeoJSON, Shapefile, KML, CSV)

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1

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2

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3

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