{"id":"W4416676912","doi":"10.1109/iccams65118.2025.11234592","title":"A Multifunctional UAV System for Precision Agriculture and Environmental Monitoring","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary; Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Precision agriculture; Drone; Environmental monitoring; Agriculture; Resource (disambiguation); Environmental data; Black box; Environmental pollution","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001735824,0.000438955,0.0003980821,0.0004899619,0.0003262861,0.0003770733,0.0005088737,0.0004092601,0.00387163],"category_scores_gemma":[0.0002089977,0.0001331781,0.0001662476,0.0002082005,0.0001202439,0.0004076104,0.000618836,0.000272795,0.001398019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000207968,"about_ca_system_score_gemma":0.0003184121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001486621,"about_ca_topic_score_gemma":0.001321981,"domain_scores_codex":[0.9997652,0.00002394338,0.00001074121,0.00006698893,0.00009183043,0.00004126419],"domain_scores_gemma":[0.9998531,0.00001415358,0.00001983017,0.00003100526,0.00004981011,0.00003213521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00065529,0.0002348006,0.007226722,0.0004074261,0.00007924107,0.001435606,0.000410826,0.01154267,0.5630524,0.003917711,0.01990913,0.3911282],"study_design_scores_gemma":[0.000453328,0.006003444,0.04120066,0.0002159005,0.0002388319,0.00587689,0.0005441544,0.3876949,0.2629048,0.002910146,0.291681,0.0002758677],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3830531,0.002167343,0.5473763,0.0006025443,0.0007433319,0.0009134454,0.001897928,0.02124879,0.04199728],"genre_scores_gemma":[0.8657863,0.0003560637,0.1182343,0.0002733138,0.00007966615,0.0002508027,0.001218094,0.00009324653,0.0137081],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00387163,"threshold_uncertainty_score":0.01295185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009966524342749949,"score_gpt":0.2026315607564605,"score_spread":0.1926650364137106,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}