Key research areas include steep-vineyard spraying and thermal or spectral crop monitoring. Track products, equipment, state approvals and aviation separately.
Evidence spans 2017–2020 water-stress research, 2021 steep-vineyard guidance, drift studies from 2024 and Digi-Weinbau from 2025.
30 sources
A 2021 steep-vineyard note distinguishes product approval, equipment testing, state permission and aviation requirements.
A 2025–2027 project integrates UAV and satellite disease monitoring while testing throughput and economic feasibility.
A 2024–2029 project develops spray-drift reference data using internationally coordinated protocols.
Bavarian guidance explains who applies for aerial-spraying permission and what operational information is required.
Vineyard guidance covers equipment, crews and efficacy, including potential need for ground treatments under high disease pressure.
A 2017–2020 study tests thermal UAV sensing for vineyard water stress against established plant measurements.
Describes drones for CAP area monitoring, terrain and disaster assessments, illustrating administrative as well as farm uses.
Records Bavarian drone-spraying permissions in 2025; regional approvals should not be extrapolated into national adoption rates.
The May 2025 list details eligible products and conditions, alongside state permissions and separate aviation rules.
A 2026 demonstration seeds cover crops before harvest to conserve moisture; establishment and peak-season labour matter alongside area rate.
An introduction covering crop assessment, input decisions and wildlife rescue, organised around farm jobs.
A field day demonstrates drone weed maps feeding ground-based spot spraying.
A practical seminar collection compares monitoring, seeding, spot application and thermal wildlife rescue.
Research tests aerial seed distribution and weed suppression by timing, mixture and flight parameters, alongside ISOBUS integration.
A 2025 case transfers RTK drone prescription maps to individually controlled ground sprayer nozzles; savings are field-specific.
DiWenkLa develops digital sensing and automation for smaller farms at risk of exclusion from capital-intensive innovation.
Follow-up on small-farm digitalisation links crop sensing and livestock data with farm competitiveness.
Highlights the gap between available tools and field adoption, motivating joint farm–research demonstrations.
Evaluates drone analysis for field trials because many commercial systems were not designed for experimental phenotyping.
2026 government response discusses wider agricultural use and proposed reforms, including an additional standard operational scenario; proposals are not enacted permissions.
Historical government account of digital test fields and aviation-rule alignment, including targeted plant protection, fertilisation and irrigation; it does not replace current product-specific conditions.
Beekeepers call for pollinator exposure monitoring, application-specific assessment and traceability. This is a stakeholder position, distinct from experimental proof of performance.
Supplier interview describes field analysis, seeding and steep-slope spraying business opportunities. Demand forecasts and legal statements are attributed views requiring official cross-checks.
Saxony-Anhalt guidance distinguishes listed suitable spraying equipment from plant-protection authorisation, demonstrating that aviation approval alone is insufficient for pesticide application.
Official gateway to suitable drone spray-equipment lists, drift-reduction testing and equipment inspection, supporting configuration-specific and lifetime quality management.
Research combines satellites, drones, ground sensors and machines through open interfaces, exploring federated learning and data sovereignty rather than asserting automatic privacy guarantees.
2026 field-day programme includes interfaces combining imagery, vegetation and hydrology, illustrating accessible decision support and development with agricultural users.
Research agenda explores flexible materials, tactile sensors and control for close plant interaction, with environmental DNA sampling, volatile detection and harvesting as development goals.
2017 account of individual crop and weed classification in German and Swiss fields provides a historical example of aerial imagery supporting localised weed-management decisions.
Seed mass affects spread uniformity and refill frequency. Surface establishment depends on moisture, light, residues and competing weeds, so successful flight is distinct from successful crop establishment.
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