Precision viticulture and conditional spray trials follow different paths. Research combines satellite, UAV and soil data while testing whether finer management justifies its cost.
The documented trajectory runs from 2010s field-sensing research through 2024–2025 regional spraying trials to 2026 agricultural-aid monitoring.
30 sources
ENAC and AGEA describe drone-assisted monitoring for agricultural aid, including disaster compensation and difficult terrain.
The regional account reviews 2024–2025 spray trials in vineyards, onions and tomatoes, distinguishing drift reduction from canopy coverage and efficacy.
The plant-health authority separates pesticide application from beneficial-organism release and discusses labels, trial permissions and performance.
CREA reports a technical exchange between horticulture researchers and producers; the short announcement does not establish quantified performance.
The program links precision sensing, AI and spray trials alongside biological control; it is an industry/research event announcement.
The region announces investment support covering machinery, robots and drones; the stated 30 September 2026 deadline means this should not be shown as currently open.
The multisite study discusses hyperspectral acquisition and processing, including ground-reference logistics and edge misalignment in vineyard mosaics.
The abstract describes combining soil conductivity, terrain and vegetation data in Franciacorta, checking management zones against thermal water-stress patterns.
The study compares 2020 Italian imagery prices with literature-based variable-rate fertilization benefits, linking economics to area, optical quality and platform cost.
Two-year northern Italian comparisons show satellites capture broad vigor patterns, while precise input management benefits from UAV separation of rows and inter-rows.
HERO-VINE pilots drone treatments in Ligurian terraces, linking family farms, landscape conservation and operator/agronomist training. Claimed resource savings are project objectives, not established trial outcomes.
CREA describes a chain from sensing through agronomic interpretation to variable-rate action. Local advisory services, connectivity, skills and software are necessary to turn UAV observations into farm decisions.
This rural-development project sought a business plan for sensing and payload drones in viticulture, considering operating conditions, regulation and costs. It does not establish blanket spraying permission or achieved profitability.
CNR explicitly identifies vigor maps that remain unused. DigiVit targets easy-to-interpret outputs tied to bunch detection, yield and maturity, and to growers’ concrete time and cost constraints.
Only the public abstract was read; the thesis is withheld. This master’s research models rotor flow and droplets to study vineyard deposition and drift; simulations are not equivalent to measured field efficacy.
The university’s precision-horticulture service combines proximal and UAV monitoring. Fertilizer planning includes seasonal soil analysis, uptake and crop removal, illustrating the agronomic work beyond imagery.
The abstract shows interactions between growth stage and nozzle technology, with substantial ground losses. Spray performance requires joint consideration of speed, nozzle and canopy conditions.
The abstract validates simulated LiDAR views against 2023 vineyard measurements to evaluate row following. This supports lower-cost design exploration, not direct proof of pesticide efficacy.
The abstract compares twelve UAV configurations in Barbera vines. Band spraying improved on broadcast modes, but the tested conventional airblast sprayer still achieved better coverage and lower ground losses than the best UAV setup.
The abstract relates measured swath deposition to canopy deposits and flight-path overlap. Effective width should be validated against the target canopy rather than assumed from a catalog specification.
The abstract combines soil/leaf analysis, production, tree dimensions and UAV imagery into per-tree nitrogen budgets and ISOBUS-compatible prescription maps, linking aerial observations to ground machinery.
Search-only candidate on canopy architecture and spray deposition. The repository returned 403, so performance findings have not been adopted.
The university abstract links aerial canopy and vegetation metrics with trunk size, leaf nitrogen and tree-level yield. Associations support assessment, not a fertilizer prescription from one index alone.
Search-only candidate combining UAV/Sentinel-2 information with vineyard quality zoning. The institutional page was unavailable; causal interpretation of quality differences is unassessed.
A three-sensor UAV assessed vine vigor, water stress and missing plants through different measurements. Multisensor collection requires application-specific validation. The publisher-supplied abstract was inspected.
Publisher-supplied abstract compares NDVI from UAV, aircraft and satellite over two Italian vineyards. Coarse vegetation gradients agreed better than heterogeneous patterns. Area-dependent imagery costs describe the historical study, not current prices.
The abstract describes a Barolo hillside vineyard where preliminary UAV point clouds produce simplified maps for a quadrotor and four-wheel-steering ground robot. Results are preliminary, not proof of commercial fleet reliability or profitability.
The abstract compares three years of field measurements with UAV canopy-height models and reports substantial differences from conventional tree-row-volume estimates. Changing measurement methods can break historical comparability.
The author abstract uses a Northern Italian vineyard to refine satellite NDVI affected by inter-row cover with UAV imagery, producing three vigor classes. Transfer beyond the studied vineyard requires separate validation.
The abstract classifies vine canopy, bare soil and groundcover communities using RGB UAV imagery. The authors explicitly limit applicability because the dataset covers one vineyard and one flight.
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