{"id":"W4404524569","doi":"10.3390/drones8110686","title":"Drones in Precision Agriculture: A Comprehensive Review of Applications, Technologies, and Challenges","year":2024,"lang":"en","type":"review","venue":"Drones","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":213,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Mitacs","keywords":"Drone; Agriculture; Precision agriculture; Computer science; Engineering; Engineering ethics; Biotechnology; Biology; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001678155,0.001010262,0.001277647,0.003296786,0.0003980273,0.001839503,0.0009124338,0.001485321,0.004034229],"category_scores_gemma":[0.003448112,0.0005290718,0.001352373,0.003468735,0.000448919,0.002354589,0.0009540888,0.001103039,0.0009665388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006759981,"about_ca_system_score_gemma":0.002777766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003636877,"about_ca_topic_score_gemma":0.005458301,"domain_scores_codex":[0.9990951,0.0002279602,0.0002031631,0.0001247257,0.0002875367,0.00006157962],"domain_scores_gemma":[0.9965406,0.002456371,0.000315752,0.00006649656,0.0005554504,0.0000652649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009287642,0.00006370246,0.0007356402,0.1128271,0.0002840097,0.0001806418,0.0002867783,0.001443395,0.001354282,0.00626203,0.01347948,0.86299],"study_design_scores_gemma":[0.00001835567,0.0003188826,0.002476751,0.05178421,0.0007872322,0.0007361891,0.0004499412,0.0006321952,0.0007531541,0.002813667,0.9391598,0.0000696136],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003078039,0.9977657,0.0003980555,0.0002599985,0.0001632542,0.00001686895,0.00004745507,0.000008276307,0.001032726],"genre_scores_gemma":[0.001952868,0.9968464,0.000517102,0.0001940255,0.0001135258,0.0000163447,0.00006753173,0.000003595801,0.000288556],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004034229,"threshold_uncertainty_score":0.0134958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06672733749496383,"score_gpt":0.2932334768265317,"score_spread":0.2265061393315679,"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."}}