Weed decision threshold for herbicide reduction in site-specific management

Weed density thresholds drive herbicide reduction in precision corn farming

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Detail description

Weed decision threshold and spatial distribution significantly affect herbicide reduction in site-specific weed management. In a central Spain corn field, simulations showed up to 66% herbicide savings for sparse, patchy weeds like johnsongrass when using higher decision thresholds (6–12 plants m⁻²), compared to 10–20% savings for dense, uniformly distributed species such as velvetleaf. Ground-based sensors outperformed aerial sensors in reducing herbicide use. Higher thresholds reduced application rates but risked untreated patches, potentially leading to yield loss and herbicide-resistant weed development. Optimal thresholds depend on weed density and spatial pattern, with higher thresholds most effective for patchy distributions.

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Contribution detail info

Project

Smart-AKIS

European Agricultural Knowledge and Innovation Systems (AKIS) towards innovation-driven research in Smart Farming Technology

Location
Spain
Authors
J., Fernández-Quintanilla, Dorado, J. (2016). Weed Technology, Barroso
Purpose
Communication, Dissemination

File type
document
Created on
Jan 03, 2018
Origin language
English
Official project website
Smart-AKIS
License
CC BY