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Unmanned aerial system plant protection products spraying performance evaluation on a vineyard

https://doi.org/10.1007/s11119-024-10155-8

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Spray performance evaluation of a six‐rotor unmanned aerial vehicle sprayer for pesticide application using an orchard operation mode in apple orchards

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Conventional Methods of Pesticide Application in Agricultural Field and Fate of the Pesticides in the Environment and Human Health

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Development of a Matlab Code for the Evaluation of Spray Distribution with Water-Sensitive Paper

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Unmanned Aerial System Technologies for Pesticide Spraying

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Food Safety and Agrochemicals: Risk Assessment and Food Security Implications

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Spray and economics assessment of a UAV-based ultra-low-volume application in olive and citrus orchards

inferredcites →https://doi.org/10.1016/j.coesh.2018.07.005openalex-snapshot

Occupational health risk of farmers exposed to pesticides in agricultural activities

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A compilation of UAV applications for precision agriculture

inferredcites →https://doi.org/10.1016/j.compag.2011.01.003openalex-snapshot

A portable scanning system for evaluation of spray deposit distribution

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Assessing a novel smartphone application – SnapCard, compared to five imaging systems to quantify droplet deposition on artificial collectors

inferredcites →https://doi.org/10.1016/j.compag.2019.105036openalex-snapshot

Numerical analysis and validation of spray distributions disturbed by quad-rotor drone wake at different flight speeds

inferredcites →https://doi.org/10.1016/j.compag.2020.105350openalex-snapshot

Effect of operational parameters of UAV sprayer on spray deposition pattern in target and off-target zones during outer field weed control application

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Ten years of corn yield dynamics at field scale under digital agriculture solutions: A case study from North Italy

inferredcites →https://doi.org/10.1016/j.compag.2023.108185openalex-snapshot

Artichoke deep learning detection network for site-specific agrochemicals UAS spraying

inferredcites →https://doi.org/10.1016/j.cropro.2016.03.018openalex-snapshot

Droplet deposition and control effect of insecticides sprayed with an unmanned aerial vehicle against plant hoppers

inferredcites →https://doi.org/10.1016/j.cropro.2016.11.025openalex-snapshot

A critical review of plant protection tools for reducing pesticide use on grapevine and new perspectives for the implementation of IPM in viticulture

inferredcites →https://doi.org/10.1016/j.fcr.2019.03.015openalex-snapshot

Improving remotely-sensed crop monitoring by NDVI-based crop phenology estimators for corn and soybeans in Iowa and Illinois, USA

inferredcites →https://doi.org/10.1016/j.ifacol.2022.11.123openalex-snapshot

Sensor optimization for altitude estimation of spraying drones in vineyards

inferredcites →https://doi.org/10.1016/j.procs.2018.07.063openalex-snapshot

Review on Application of Drone Systems in Precision Agriculture

inferredcites →https://doi.org/10.1016/j.scitotenv.2020.139793openalex-snapshot

Field evaluation of spray drift and environmental impact using an agricultural unmanned aerial vehicle (UAV) sprayer

inferredcites →https://doi.org/10.1016/j.scitotenv.2020.140598openalex-snapshot

Pesticide lifecycle management in agriculture and public health: Where are the gaps?

inferredcites →https://doi.org/10.1016/j.scitotenv.2021.146181openalex-snapshot

Assessment of spray deposition, drift and mass balance from unmanned aerial vehicle sprayer using an artificial vineyard

inferredcites →https://doi.org/10.1016/j.scitotenv.2021.148625openalex-snapshot

Do pesticides promote or hinder sustainability in agriculture? The challenge of sustainable use of pesticides in modern agriculture

inferredcites →https://doi.org/10.1016/j.scitotenv.2022.157292openalex-snapshot

UAV-spray application in vineyards: Flight modes and spray system adjustment effects on canopy deposit, coverage, and off-target losses

inferredcites →https://doi.org/10.1017/s0001924000095749openalex-snapshot

Safety aspects of the aerial application of pesticides

inferredcites →https://doi.org/10.1017/wet.2019.101openalex-snapshot

Coverage and drift potential associated with nozzle and speed selection for herbicide applications using an unmanned aerial sprayer

inferredcites →https://doi.org/10.1088/1757-899x/243/1/012047openalex-snapshot

Determine spray droplets on water sensitive paper (WSP) for low pressure deflector nozzle using image J

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Computer Vision for Autonomous UAV Flight Safety: An Overview and a Vision-based Safe Landing Pipeline Example

inferredcites →https://doi.org/10.13009/eucass2022-6140openalex-snapshot

Analysis and Design of Unmanned Aerial Systems for Precision Agriculture applications on Vineyards

inferredcites →https://doi.org/10.13031/2013.20026openalex-snapshot

COMPARISON OF THREE IMAGING SYSTEMS FOR WATER-SENSITIVE PAPERS

inferredcites →https://doi.org/10.13031/trans.56.9839openalex-snapshot

Spray Deposition inside Tree Canopies from a Newly Developed Variable-Rate Air-Assisted Sprayer

inferredcites →https://doi.org/10.1371/journal.pone.0077151openalex-snapshot

Weed Mapping in Early-Season Maize Fields Using Object-Based Analysis of Unmanned Aerial Vehicle (UAV) Images

inferredcites →https://doi.org/10.1371/journal.pone.0212289openalex-snapshot

Factors affecting aerial spray drift in the Brazilian Cerrado

inferredcites →https://doi.org/10.17683/ijomam/issue10/v1.8openalex-snapshot

PROJECT OF AN EXPERIMENTAL SIMULATOR DESIGNED TO ANALYSE PESTICIDE SPRAYING TECHNIQUES IN VINEYARD USING DRONES

inferredcites →https://doi.org/10.2134/jeq2001.303697xopenalex-snapshot

Spray Drift of Pesticides Arising from Aerial Application in Cotton

inferredcites →https://doi.org/10.25165/j.ijabe.20211401.5714openalex-snapshot

Review of agricultural spraying technologies for plant protection using unmanned aerial vehicle (UAV)

inferredcites →https://doi.org/10.3303/cet1544052openalex-snapshot

Deployment and Performance of a Uav for Crop Spraying

inferredcites →https://doi.org/10.3390/agronomy10020195openalex-snapshot

Effect of Droplet Size Parameters on Droplet Deposition and Drift of Aerial Spraying by Using Plant Protection UAV

inferredcites →https://doi.org/10.3390/agronomy12061307openalex-snapshot

A Comparison between Conventional Sprayers and New UAV Sprayers: A Study Case of Vineyards and Olives in Extremadura (Spain)

inferredcites →https://doi.org/10.3390/agronomy8090187openalex-snapshot

Effect of Unmanned Aerial Vehicle Flight Height on Droplet Distribution, Drift and Control of Cotton Aphids and Spider Mites

inferredcites →https://doi.org/10.3390/agronomy9100581openalex-snapshot

Vineyard Variability Analysis through UAV-Based Vigour Maps to Assess Climate Change Impacts

inferredcites →https://doi.org/10.3390/foods10010105openalex-snapshot

Consumer Preference, Quality, and Safety of Organic and Conventional Fresh Fruits, Vegetables, and Cereals

inferredcites →https://doi.org/10.3390/foods9111552openalex-snapshot

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inferredcites →https://doi.org/10.3390/ijerph18020468openalex-snapshot

Pesticides in Drinking Water—A Review

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inferredcites →https://doi.org/10.3390/rs10020285openalex-snapshot

An Automatic Random Forest-OBIA Algorithm for Early Weed Mapping between and within Crop Rows Using UAV Imagery

inferredcites →https://doi.org/10.3390/rs11060605openalex-snapshot

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inferredcites →https://doi.org/10.3390/rs12193216openalex-snapshot

Leveraging Very-High Spatial Resolution Hyperspectral and Thermal UAV Imageries for Characterizing Diurnal Indicators of Grapevine Physiology

inferredcites →https://doi.org/10.3390/rs9080828openalex-snapshot

Adaptive Estimation of Crop Water Stress in Nectarine and Peach Orchards Using High-Resolution Imagery from an Unmanned Aerial Vehicle (UAV)

inferredcites →https://doi.org/10.3390/s21030956openalex-snapshot

Advances in Unmanned Aerial System Remote Sensing for Precision Viticulture

inferredcites →https://doi.org/10.3390/su9050728openalex-snapshot

Ground Deposition and Airborne Spray Drift Assessment in Vineyard and Orchard: The Influence of Environmental Variables and Sprayer Settings

inferredcites →https://doi.org/10.4081/jae.2019.853openalex-snapshot

Testing a multi-rotor unmanned aerial vehicle for spray application in high slope terraced vineyard

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.5768636openalex-extracted

inferred← citeshttps://doi.org/10.1002/ps.70688openalex-snapshot

UAV ‐based spraying in orchard systems: mechanisms, performance indicators, and integrated applications

inferred← citeshttps://doi.org/10.1007/978-3-031-84212-2_89openalex-snapshot

Development of a New Lab-Methodology to Evaluate Vineyard Spot-Spray UASSs Performance

inferred← citeshttps://doi.org/10.1007/978-3-032-15375-3_6openalex-snapshot

A Novel Agricultural Spraying Aerial Robot (AgRoHedral): Performance Improvement in the Presence of Sloshing Effect

inferred← citeshttps://doi.org/10.1007/s10791-026-10510-5openalex-snapshot

A hybrid improved Grey Wolf optimization algorithm for three dimensional UAV path planning in complex terrain

inferred← citeshttps://doi.org/10.1007/s11119-026-10407-9openalex-snapshot

Comparison of low-volume spray application rates using UASS: implications for vine canopy deposition, spray quality, and in-field ground losses

inferred← citeshttps://doi.org/10.1007/s13369-026-11574-7openalex-snapshot

A Hybrid Artificial Bee Colony and Differential Evolution for UAV Path Planning in Complex Environments

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Precision agriculture

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A systematic literature review on recent unmanned aerial spraying systems applications in orchards

inferred← citeshttps://doi.org/10.1016/j.atech.2025.100837openalex-snapshot

An agroecological assessment of uncrewed aerial vehicle spraying in Greek viticulture

inferred← citeshttps://doi.org/10.1016/j.atech.2025.101033openalex-snapshot

Unmanned aerial sprayers: evaluating platform configurations and flight patterns for effective chemical applications in modern vineyards

inferred← citeshttps://doi.org/10.1016/j.atech.2025.101386openalex-snapshot

Spray deposition efficiency of unmanned aerial spraying systems in hillside vineyards with variable slope

inferred← citeshttps://doi.org/10.1016/j.atech.2025.101730openalex-snapshot

Effect of spraying drone flight parameters on vineyard canopy coverage and droplet deposition

inferred← citeshttps://doi.org/10.1016/j.atech.2026.102057openalex-snapshot

Evaluation of droplet deposition distribution in apple orchards using a ground-air combined unmanned spraying model

inferred← citeshttps://doi.org/10.1016/j.atech.2026.102600openalex-snapshot

A meta-analysis of UAV flight parameters in agricultural research

inferred← citeshttps://doi.org/10.1016/j.cej.2026.180947openalex-snapshot

Fluorinated pharmaceuticals and pesticides: An overlooked source of PFAS contamination

inferred← citeshttps://doi.org/10.1016/j.compag.2026.111481openalex-snapshot

Optimization of spraying quality and drift risk in unmanned aerial spraying systems (UASS) based on Multi-Gradient droplet size control

inferred← citeshttps://doi.org/10.1016/j.cropro.2025.107532openalex-snapshot

Evaluation of droplet deposition effects of pre-wetting application by UAVs in mountain Nanguo pear orchards

inferred← citeshttps://doi.org/10.1016/j.cropro.2026.107584openalex-snapshot

Modern hydraulic-based FSDS layouts: impact of vine growth stage and canopy density on spray performance

inferred← citeshttps://doi.org/10.1016/j.sintl.2024.100292openalex-snapshot

Integrating artificial intelligence and Internet of Things (IoT) for enhanced crop monitoring and management in precision agriculture

inferred← citeshttps://doi.org/10.1038/s41598-025-19473-xopenalex-snapshot

A sustainable crop protection through integrated technologies: UAV-based detection, real-time pesticide mixing, and adaptive spraying

inferred← citeshttps://doi.org/10.1109/iceamst67459.2025.11335688openalex-snapshot

AI-Driven Autonomous Vehicle Systems for RealTime Crop Mapping and Variable Rate Fertilization

inferred← citeshttps://doi.org/10.1109/icscss69635.2026.11646157openalex-snapshot

AGROFLY 2047: An Intelligent UAV System for Targeted Spraying using AI

inferred← citeshttps://doi.org/10.3389/fpls.2025.1738496openalex-snapshot

YOLO-RSTS: a precise segmentation model for detecting preservative and stimulant spraying regions on rubber trees

inferred← citeshttps://doi.org/10.3389/fpls.2026.1803212openalex-snapshot

Influence of flight pattern on the effectiveness of unmanned aerial vehicles application in a mountain Nanguo pear orchard

inferred← citeshttps://doi.org/10.3390/agriculture15090931openalex-snapshot

Aerial Spray Droplet Deposition Determination Based on Fluorescence Correction: Exploring the Combination of a Chemical Colorant and Water-Sensitive Paper

inferred← citeshttps://doi.org/10.3390/agriengineering7020022openalex-snapshot

Effects of Flight Heights and Nozzle Types on Spray Characteristics of Unmanned Aerial Vehicle (UAV) Sprayer in Common Field Crops

inferred← citeshttps://doi.org/10.3390/agronomy16020193openalex-snapshot

Key Technologies for Intelligent Operation of Plant Protection UAVs in Hilly and Mountainous Areas: Progress, Challenges, and Prospects

inferred← citeshttps://doi.org/10.3390/app152010928openalex-snapshot

Application of Water-Sensitive Paper for Spray Performance Evaluation in Aeroponics via a Segmentation-Based Algorithm

inferred← citeshttps://doi.org/10.3390/drones10070542openalex-snapshot

Effects of Terrain Slope and Flight Patterns on Downwash Airflow and Droplet Deposition of UASS Spraying in Hilly Orchards

inferred← citeshttps://doi.org/10.3390/plants14101452openalex-snapshot

Spraying Effects of UAV Application on Droplet Effectiveness in Two Vine Trellis Systems of High-Slope Terrace Vineyards

inferred← citeshttps://doi.org/10.3390/plants15172678openalex-snapshot

Optimization of UAV Spraying in Mountainous Nanguo Pear Orchards: Effects of Canopy Size and Operational Parameters on Droplet Deposition and Penetration

inferred← citeshttps://doi.org/10.3390/s24248172openalex-snapshot

A Systematic Review on the Advancements in Remote Sensing and Proximity Tools for Grapevine Disease Detection

inferred← citeshttps://doi.org/10.58728/joinabt.1970736openalex-snapshot

Bağcılıkta İHA Tabanlı Görüntüleme ve Yapay Zekâ Uygulamaları: Bitki Gelişimi, Hastalık, Zararlı ve Stres Faktörlerinin İzlenmesi

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