{"id":"W4402306692","doi":"10.18280/ts.410421","title":"Enhancing the Early Detection and Diagnosis of Plant Diseases Using Deep Learning and Advanced Imaging Techniques","year":2024,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Deep learning; Artificial intelligence; Computer science; Machine learning","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":[0.0004264395,0.0006241769,0.0004921357,0.000907263,0.0001345103,0.00065042,0.0004916298,0.0009454213,0.001077809],"category_scores_gemma":[0.0009462544,0.0002520274,0.0004744014,0.0004827538,0.0002376663,0.0008958913,0.0005623354,0.0008365549,0.0005552097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000357864,"about_ca_system_score_gemma":0.0003940428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002450536,"about_ca_topic_score_gemma":0.004033962,"domain_scores_codex":[0.9998308,0.00002637635,0.000007527482,0.00003939687,0.00006138291,0.00003450271],"domain_scores_gemma":[0.9995388,0.0002011919,0.00007054901,0.00003162844,0.0001262818,0.00003156083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003476193,0.0003770379,0.007187983,0.0004925734,0.0001231624,0.0002696188,0.00009593862,0.07548391,0.3396432,0.003062259,0.004269851,0.568647],"study_design_scores_gemma":[0.00001036183,0.0001241901,0.005068418,0.00002844151,0.00004655921,0.0002031768,0.00002444569,0.9256863,0.06291075,0.003317276,0.002555316,0.00002469432],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1083409,0.0027744,0.8839496,0.000652164,0.0001128193,0.00004663224,0.000431594,0.001103361,0.002588364],"genre_scores_gemma":[0.6923337,0.002858716,0.2961569,0.0004667014,0.0001564848,0.00005507555,0.0006371148,0.0000899662,0.00724527],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002450536,"threshold_uncertainty_score":0.004872501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007271996695092103,"score_gpt":0.2089422388060812,"score_spread":0.2016702421109891,"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."}}