{"id":"W4376869411","doi":"10.18280/isi.280215","title":"Smart Farm: Agriculture System for Farmers Using IoT","year":2023,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Internet of Things; Agriculture; Business; Agricultural science; Agricultural economics; Computer science; Agricultural engineering; Geography; Environmental science; Engineering; Computer security; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002370725,0.0004196571,0.0003783642,0.0003397576,0.0003867078,0.0007303192,0.0008321838,0.000754722,0.008638728],"category_scores_gemma":[0.0003008839,0.0001766225,0.0002442985,0.0003811159,0.0001827839,0.001311968,0.001055478,0.0003716866,0.002408927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002774759,"about_ca_system_score_gemma":0.0003461229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001194032,"about_ca_topic_score_gemma":0.001692263,"domain_scores_codex":[0.9998186,0.00002050443,0.00001494759,0.00005391384,0.00005631987,0.00003566418],"domain_scores_gemma":[0.9998965,0.00001545786,0.00001289256,0.00002277879,0.00003277629,0.00001952655],"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":[0.001188089,0.0006229411,0.01726042,0.0008310876,0.0001605319,0.002213681,0.001374065,0.0211531,0.1233093,0.01960782,0.1322157,0.6800632],"study_design_scores_gemma":[0.0002747681,0.001157903,0.02013748,0.0002475073,0.0002636961,0.001763107,0.0012471,0.4810079,0.05949148,0.0250634,0.4091189,0.000226894],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.110309,0.001828938,0.7261314,0.002589806,0.001070765,0.0008636042,0.003313147,0.04753591,0.1063575],"genre_scores_gemma":[0.837101,0.00124899,0.1015014,0.001502558,0.0001956964,0.0007274193,0.002830569,0.0003866302,0.0545058],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008638728,"threshold_uncertainty_score":0.02889949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02735207810460431,"score_gpt":0.2318094557465576,"score_spread":0.2044573776419533,"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."}}