Mekong Delta programmes combine seeding, fertilization and crop protection with wider agronomy. Growing imagery research and open datasets must translate into actionable farm decisions.
The evidence spans 2021 pest-management discussion, 2022 seeding and service cases, field-trial standards, low-emission rice and image datasets. Combined agronomic outcomes cannot be attributed solely to drones.
30 sources
FAO and VAAS describe a two-hectare rice direct-seeding demonstration in Gia Phong, coupled with training for cooperatives and service providers.
A Can Tho low-emission rice pilot combines fertiliser and pesticide drones with water-level sensors and wider agronomy.
Explains 2025 registration and operation rules, including technical safety evidence when one person controls multiple aircraft.
A one-hectare hyperspectral rice study reports different nutrient-estimation performance, cautioning against direct prescriptions from colour maps.
An open dataset combines aligned imagery across three Mekong Delta seasons with expert-corrected labels for weedy-rice research.
A study estimates post-sowing rice density from RGB imagery at multiple altitudes, emphasising acquisition conditions.
XAG reports its P100 Pro launch and a Dong Thap cooperative, connecting product distribution with transport, training and support.
An OM380 direct-seeding demonstration includes a manual comparator and discusses maintenance centres and financing access.
An industry profile documents MiSmart’s origins and domestic development; company claims are not independent trials.
A workshop report identifies missing field connectivity as a digitalisation barrier, informing offline-capable platform design.
Forum reporting raises concerns about blanket spraying; technical effectiveness requires separate primary research.
Rice potassium estimation pairs multispectral images with laboratory leaf samples across growth stages and cultivars.
Soc Trang rice pest monitoring combines NDVI/NDRE with field surveys to classify infestation severity.
Hau Giang research relates vegetation indices to rice-yield components while leaving soil-compaction relationships unresolved.
A manufacturer case documents mixed coffee/durian slopes, an hour of surveying and ferry transfers between separated plots.
A news digest describes alternate wetting/drying and drone fertilisation together; combined benefits cannot be attributed solely to drones.
Interviews discuss coordination between formulations, aircraft, procedures and training; technical claims require independent validation.
The department describes UAV monitoring of crop-residue burning in Hanoi, documenting locations and extent with permission planning. Optical mapping is not direct greenhouse-gas measurement.
A 2021 institutional report documents early pest-management applications and the need to study stability, weather, rotor airflow and validated operating procedures.
VAAS reports development of pesticide field-evaluation standards following multi-crop and formulation trials in 2021–2022. Historical standard development is distinct from current product authorization.
A computer-vision study localizes and counts early rice seedlings from UAV images. Leaf occlusion limits interpretation; seedling clusters are not equivalent to accurately counted tillers.
InterDuPa-UAV describes 311 source aerial images and derived durian/papaya image classes. The dataset record was read; its 3.8 GB image archives were not downloaded.
RiGaD provides labelled rice-seedling imagery for germination and density assessment. Augmented image totals must not be interpreted as independent fields or flight observations.
The UN report describes agricultural data coordination and drone pilots for seeding, fertilizer and crop protection. Reported pilots are not proof of nationwide adoption or causal benefits.
XAG profiles a young Tien Giang drone-service operator and early-morning work routines. It is a manufacturer narrative, not representative national performance data.
This manufacturer case describes drone use in a durian orchard. Indexed text was found, but repeated page retrieval failed; it remains a search-only candidate.
A 2022 manufacturer account follows a Dong Thap farmer hiring drone services, describing labour delays, seed handling and pilots adapting settings to farmer knowledge.
SLIC segmentation and ConvNeXt classify green, lodged and ripe rice. Reported accuracy is internal validation on the study dataset, not demonstrated performance across other regions.
Coverage of OM19/OM29 trials describes a combined variety, input and drone-cultivation package. Cost differences cannot be attributed to drones alone.
CAAV's October 2026 advisory addresses UAV management and airport-area restrictions, directing attention to permitted areas and official restricted-airspace information.
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