{"id":"W3119842544","doi":"10.18280/ts.370622","title":"A Novel Convolutional Neural Network Based Model for Recognition and Classification of Apple Leaf Diseases","year":2020,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Convolutional neural network; Sustenance; Computer science; Cluster analysis; Contrast (vision); Artificial intelligence; Identification (biology); Artificial neural network; Pattern recognition (psychology); Set (abstract data type); Fuzzy logic; Machine learning; Data mining; Botany; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005369914,0.00008036532,0.0001033726,0.000003116262,0.00009295172,0.00001777161,0.00005730705,0.00003420372,0.0001026809],"category_scores_gemma":[0.00001017002,0.00003320011,0.0000639569,0.00009881218,0.00003356846,0.00007141724,0.00001086104,0.00002981285,0.000001916563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005751202,"about_ca_system_score_gemma":0.000006787804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006149008,"about_ca_topic_score_gemma":0.00003322307,"domain_scores_codex":[0.9994136,0.00001391353,0.0001579109,0.0001741413,0.0001188469,0.0001215501],"domain_scores_gemma":[0.9996687,0.0001011597,0.00007444659,0.00001159608,0.00006491703,0.00007920554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005328459,0.0003684192,0.009350687,0.00005997302,0.00003382578,2.704228e-7,0.0001331564,0.008259036,0.9346942,0.0009293602,0.0190152,0.02662303],"study_design_scores_gemma":[0.0006461787,0.0003489736,0.1531567,0.00001467498,0.00005285043,5.954213e-7,0.00008700147,0.8430042,0.0005103664,0.0004352015,0.001597577,0.0001456828],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9773855,0.00008163414,0.01526803,0.005399388,0.00003115842,0.0005285829,0.001231019,0.00004565275,0.00002909265],"genre_scores_gemma":[0.996631,0.000002496391,0.000588837,0.0009026728,0.0004581596,0.00006397414,0.001344598,6.374442e-7,0.000007660263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9341838,"threshold_uncertainty_score":0.1353861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08853861807156183,"score_gpt":0.2224660641871516,"score_spread":0.1339274461155897,"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."}}