A method to estimate weed canopy coverage using Canopeo in soybean

Abstract Weed growth measurements, such as weed population density and biomass, are valuable but often time‐consuming, labor intensive, and destructive to collect. This study evaluated an innovative method using Canopeo, a mobile application, for its ability to estimate weed canopy coverage and compare it to traditional measurements in soybean [ Glycine max (L.) Merr.]. A method was developed to quantify weed canopy coverage by subtracting soybean coverage from total canopy coverage. Soybean canopy coverage was isolated by using a cardboard barrier. Results showed a strong positive correlation between Canopeo‐estimated weed canopy coverage and traditional weed growth parameters, including weed density ( r = 0.78, p < 0.01) and weed aboveground biomass ( r = 0.78, p < 0.01). The cardboard barrier method provided accurate weed canopy coverage estimations, particularly during early soybean development (V1–V2 growth stages), when effective weed control is critical. Core Ideas Weed canopy coverage correlated strongly with weed density and biomass. Stronger correlation was seen during early development stages of soybean. This canopy isolation method can be implemented to quantify weed canopies in soybean.

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Publication Details

Journal
Agricultural & Environmental Letters
Published
2026-05-12
DOI
https://doi.org/10.1002/ael2.70073
Primary Topic
Weed Control and Herbicide Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

A method to estimate weed canopy coverage using Canopeo in soybean

Laura E. Lindsey, Alexander J. Lindsey, Alyssa Essman, Lucas Dias Mendonca
Agricultural & Environmental Letters
Weed Control and Herbicide Applications
article

A method to estimate weed canopy coverage using Canopeo in soybean

Laura E. Lindsey, Alexander J. Lindsey, Alyssa Essman, Lucas Dias Mendonca
article en

Abstract

Abstract Weed growth measurements, such as weed population density and biomass, are valuable but often time‐consuming, labor intensive, and destructive to collect. This study evaluated an innovative method using Canopeo, a mobile application, for its ability to estimate weed canopy coverage and compare it to traditional measurements in soybean [ Glycine max (L.) Merr.]. A method was developed to quantify weed canopy coverage by subtracting soybean coverage from total canopy coverage. Soybean canopy coverage was isolated by using a cardboard barrier. Results showed a strong positive correlation between Canopeo‐estimated weed canopy coverage and traditional weed growth parameters, including weed density ( r = 0.78, p < 0.01) and weed aboveground biomass ( r = 0.78, p < 0.01). The cardboard barrier method provided accurate weed canopy coverage estimations, particularly during early soybean development (V1–V2 growth stages), when effective weed control is critical. Core Ideas Weed canopy coverage correlated strongly with weed density and biomass. Stronger correlation was seen during early development stages of soybean. This canopy isolation method can be implemented to quantify weed canopies in soybean.

Agricultural & Environmental LettersVol. 11(1)
The Ohio State University (US)
Ohio Soybean Council
Openalex Percentile: Top 6%
Weed Control and Herbicide Applications
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A method to estimate weed canopy coverage using Canopeo in soybean — Laura E. Lindsey, Alexander J. Lindsey, et al. · Agricultural & Environmental Letters (2026) | TGRS Research Map | TGRS