Readership ranks are unverified. Review may cover abstracts or relevant passages; check each record’s scope. Manufacturer cases are not independent efficacy evaluations.
Development and current questions
Research aircraft and spreading prototypes have been followed by regional demonstrations, university image-analysis training and standards discussions. Indoor swarm research is distinct from commercial outdoor spraying.
- Contract services across small plots
- Spray quality and procedure validation
- Operator and maintenance training
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A final SOP discussion covered operator competence, occupational safety and technical operation; the article describes preparation for publication, not proof of enacted requirements.
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Search evidence describes navigation, farm mapping and maintenance training in Kapuas; direct retrieval failed on a redirect and requires follow-up.
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Mesuji research combines drone imagery and GIS with residents’ knowledge of seasonal water conditions.
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An indoor swarm research concept backs up fixed sensors; it is not evidence of commercial outdoor spraying swarms.
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Merauke demonstrations highlight farm-road access in wet conditions and operator maintenance training alongside spraying efficiency.
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A university–industry discussion explores drone imagery, AI and spatial mapping for rice-field weed detection.
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A November 2025 workshop combines agricultural-drone theory and practical training across three days.
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An early vegetable-field demonstration explicitly calls for further testing and assessment.
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Jayapura reports drone fertilisation at 21 days after rice transplanting, linking work to crop stage.
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Describes conversion of a spraying platform for seed and granular fertiliser distribution and prototype operating parameters.
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A teaching programme integrates drone monitoring and targeted action into integrated pest management.
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Weed-management practical teaching covers equipment, operating principles and agricultural drone spraying.
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UGM describes a fixed-wing autonomous research system using its own flight controller.
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A thesis abstract describes a web GIS linking land ownership, cropping cycles, fertilisation and field condition.
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Denpasar reports testing multispectral rice-yield prediction against conventional crop-cut assessment.
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A Papua field report documents mapping before fertilisation, making the preparation stage explicit.
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A regional university partnership delivers hands-on image acquisition and processing training.
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A study summary links imagery of 103 papaya trees to physiological measurements rather than appearance alone.
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A multispectral processing workshop illustrates the skills needed after aerial data acquisition.
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A master’s thesis abstract includes comparisons of manual and drone spraying time and droplet measures.
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BRMP describes AGRA30 development with Aerotron within agricultural mechanisation; it is not an independent performance comparison.
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A Samarinda programme accompanies field preparation, crop monitoring and pest management throughout the crop cycle.
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A five-hectare Soppeng demonstration reports liquid fertiliser application by crop stage; figures remain site-specific.
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Southeast Sulawesi trains extension personnel in digital agriculture and agricultural-drone operation.
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Young Sidrap farmers practise operation after theory sessions, building skills for local continuation.
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Muaro Jambi’s PM-AAS integrates direct seeding, water management and mechanisation; targets are distinct from measured outcomes.
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SOP deliberations cover preparation, application parameters, flight and risk management before later finalisation.
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A field team’s detection of stem-borer egg masses triggers intervention, connecting ground scouting to drone application.
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An agricultural-library overview links spraying technology to research references; it does not validate a particular purchase.
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An agricultural agency introduces SNI 9199:2023 quality and testing requirements; the full standard was not reviewed.
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