{"id":"W4206230668","doi":"10.18280/ts.380603","title":"Plant Leaf Classification and Comparative Analysis of Combined Feature Set Using Machine Learning Techniques","year":2021,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Pattern recognition (psychology); Feature extraction; Computer science; Classifier (UML); Histogram; Feature (linguistics); Local binary patterns; Data mining; Machine learning; Image (mathematics)","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":[0.0006209254,0.0004257133,0.000684157,0.002116809,0.0002437996,0.0005953611,0.0002509481,0.0003678984,0.001168961],"category_scores_gemma":[0.001244406,0.0000908147,0.0007618793,0.001346205,0.0001650267,0.0006589539,0.0002355577,0.0002468515,0.0003043787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003140689,"about_ca_system_score_gemma":0.0002449758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002001321,"about_ca_topic_score_gemma":0.001847241,"domain_scores_codex":[0.9994828,0.00006452793,0.00004939057,0.0001133753,0.0002321789,0.00005770626],"domain_scores_gemma":[0.9994147,0.0002237309,0.00004865854,0.00005522313,0.000242875,0.00001482796],"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":[0.0005865615,0.0002930291,0.01725056,0.0003633867,0.0001585529,0.0002558873,0.0001961518,0.03589406,0.1308306,0.0009495792,0.001750408,0.8114711],"study_design_scores_gemma":[0.00003274053,0.000794861,0.0854536,0.00005539597,0.000206637,0.0006125805,0.0003390054,0.8060759,0.1008737,0.001357418,0.004114618,0.00008353755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6202906,0.001483813,0.3718843,0.0002009304,0.0001177139,0.0001183199,0.0006192459,0.001448086,0.003837011],"genre_scores_gemma":[0.9083295,0.0002789478,0.08905008,0.00002561565,0.00002140641,0.00007376177,0.000780937,0.00004534551,0.001394259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002116809,"threshold_uncertainty_score":0.003979385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06527602341105913,"score_gpt":0.2623911671068036,"score_spread":0.1971151436957445,"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."}}