{"id":"W4220881789","doi":"10.1109/iconat53423.2022.9725912","title":"Plant Disease Detection and Diagnosis using Deep Learning","year":2022,"lang":"en","type":"article","venue":"2022 International Conference for Advancement in Technology (ICONAT)","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Computer science; Artificial intelligence; Deep learning; Disease; Machine learning; Medicine; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001213601,0.0001110662,0.0001134243,0.0000742788,0.0003141394,0.00002828743,0.0002398448,0.00004457619,0.0007742158],"category_scores_gemma":[0.000069757,0.00006059458,0.00003903334,0.0002436121,0.00004810381,0.0001185804,0.0002421596,0.0002283593,0.000001394198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001231616,"about_ca_system_score_gemma":0.000007724896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003773027,"about_ca_topic_score_gemma":0.0004000544,"domain_scores_codex":[0.9991014,0.00002858181,0.0001817953,0.0003135887,0.0001817587,0.0001928622],"domain_scores_gemma":[0.9996886,0.00008521288,0.00009730961,0.00003145132,0.00005980343,0.00003759281],"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":[0.0003462706,0.0003988003,0.2796137,0.00001563999,0.00006819093,0.00003605962,0.0001204637,0.001334785,0.1809348,0.03851138,0.00008104277,0.4985389],"study_design_scores_gemma":[0.001759167,0.001576428,0.08202282,0.00007905476,0.00006199457,0.00006930596,0.009039801,0.06734183,0.01246683,0.04445084,0.7801336,0.0009983355],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994826,0.000462259,0.000226551,0.003469049,0.0003563762,0.0003463435,0.0001351751,0.00007570444,0.0001025674],"genre_scores_gemma":[0.9982347,0.0002967517,0.0001098328,0.0001360185,0.0000632006,0.0007800286,0.0002089896,0.000001228825,0.0001692466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7800525,"threshold_uncertainty_score":0.847712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02419323003367502,"score_gpt":0.2461062276618433,"score_spread":0.2219129976281683,"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."}}