ArticlePest management science2026
Dynamics of spray deposition pattern with UAV-based herbicide application for effective weed management in sugarcane crop.
Article in Pest management science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
1 citing paper in PubMed.
- Intelligent Perception, Decision-Making and Actuation Technologies for Precision Agrochemical Spraying: Current Advances and Future Perspectives.Sensors (Basel, Switzerland) · 2026Review
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Authors and funding
7 authors.
Funding
Abstract
backgroundSugarcane productivity is severely constrained by weeds, which reduce yield by 12.0-83.0%, impair crop quality, and harbour pests and diseases. This study was designed to analyze the dynamics of spray deposition pattern of a UAV-based herbicide spraying system for efficient weed management in sugarcane compared to manual knapsack sprayer as a control. The experiment was conducted using a split-plot design with two herbicide combinations as main plots, and evaluating three UAV flight speed and three heights of spray application as sub-plots with three replications.
resultsUAV flight height, flight speed and droplet size significantly influence spray deposition pattern. Optimal conditions for herbicide application were UAV flight speed of 3.0 m s
conclusionUnder optimized conditions, UAV-based spraying achieved 80.2% weed control efficiency compared to the unweeded plot and was on at par with the control. The UAV-based spraying system operated with a field capacity of 2.6 ha h
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