South Korean evidence spans rice spraying, forage seeding, image diagnosis and drone stations. Drift, aircraft-specific efficacy and understandable crop maps are central. These 30 curated sources are not a verified national readership ranking.
The record moves from 2018–2019 direct-seeding trials through crop-observation systems and drone stations to image diagnosis and the 2025–2029 smart-agriculture plan.
30 sources
Trials connect rice planthopper control with aircraft downwash and spray water volume. Target position within the canopy matters.
Announces work on rice pesticide registration criteria reflecting aircraft size and spray volume; the revision was planned, not reported as already enacted.
Combines ground-camera crop monitoring with drone assessment of lodging and pest-damage areas; sensor roles should remain explicit.
Safety booklets and videos target extension centers, cooperatives and spraying businesses, making training part of deployment.
An agricultural robotics consortium coordinates research across field tasks, placing drones within a broader machinery ecosystem.
The 2025–2029 plan proposes sensing, variable inputs and integrated machinery control beyond spraying; these are policy goals.
A forage demonstration links alternative rice-land cropping with drone and unmanned-helicopter seeding.
Drone sowing can address wet-field access and pre-harvest timing, but crop calendars and soil moisture remain decisive.
Coating forage seed changes mass and wind response, illustrating why material properties influence aerial spreading.
A 2020 clarification recognizes agricultural drones as machinery eligible for purchase financing; this does not replace flight permissions.
Boseong demonstrates direct rice seeding after field preparation, linking nursery savings to suitable field management.
The 2021 results describe crop-area and growth observation, orthomosaic processing and interpretation services.
Winter forage guidance explains sowing windows and considers aerial seeding into standing rice when harvest is delayed.
Joint R&D targets precision seeders, performance analysis and spraying controls; development plans are distinct from commercial proof.
A 10-hectare Naju trial compares forage seeds and sowing methods, finding seed characteristics affect drone suitability.
The official catalog lists a 6:25 agricultural-drone safety video; the video itself was not reviewed.
A one-drone bird-deterrence trial uses automatic docking and charging; multi-drone benefits remain prospective and station cost is a barrier.
Saemangeum deployment connects satellite and drone observations to farm support and field feedback.
Garlic imagery and temperature data become colored field grids; trial accuracy is specific to the tested cultivar and site.
Short training videos based on a revised safety manual separate drift prevention and flight precautions.
Operator guidance requires field mapping, neighboring-crop assessment and label checks before spraying.
KNUAF and a company announce a drone-station demonstration for digital rice cultivation; this does not establish unrestricted continuous operation.
The registry confirms an RDA operational directive and effective date; operative text was not retrieved and it is not presented as a general farmer rule.
Time-series surface models relate growth rates to yield across 70 rice accessions; broader deployment needs external validation.
Regression methods for rice yield and protein are compared through cross-year prediction, addressing model transfer beyond its training year.
Time-series vegetation indices and machine learning estimate rice yield components, emphasizing crop trajectories over isolated images.
Nine vegetation indices classify nitrogen treatments across growth stages; treatment discrimination alone is not an optimal fertilizer prescription.
Experimental drift modeling identifies wind, stability, crop height and spray height as influential, limiting simple transfer of ground-sprayer models.
A paddy study evaluates how adjuvants change on-target deposition and off-target drift for a specific fungicide formulation.
Hyperspectral imagery is matched to 2,031 field-measured cabbages to identify informative bands, demonstrating the value of ground truth.
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