{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002476415,0.0006977062,0.0004915454,0.000911871,0.000230248,0.0007097522,0.0008356212,0.001335792,0.00159803],"category_scores_gemma":[0.0004907732,0.0002901293,0.0006894403,0.0005223438,0.0002367197,0.0006655973,0.0005585188,0.0008136092,0.0007890813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008299359,"about_ca_system_score_gemma":0.0004745595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008449721,"about_ca_topic_score_gemma":0.009614232,"domain_scores_codex":[0.9998313,0.00001364921,0.000009091424,0.00006478059,0.00003669974,0.00004443698],"domain_scores_gemma":[0.9997769,0.00006255714,0.00004314721,0.00002236723,0.00007087924,0.00002418085],"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":[0.0004184828,0.0006574718,0.0132991,0.0003216266,0.0001717162,0.000511112,0.00008607662,0.2247619,0.1146776,0.002183907,0.009751373,0.6331598],"study_design_scores_gemma":[0.00000643635,0.00005826018,0.002206371,0.00001571536,0.00001445011,0.00006672036,0.0000161722,0.985394,0.009074697,0.001766896,0.001371113,0.000009153273],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2104504,0.003345915,0.7674437,0.001124635,0.0002299867,0.0001676166,0.001965556,0.006709334,0.008562868],"genre_scores_gemma":[0.8494133,0.000980522,0.1366005,0.000546811,0.00007769442,0.00008216331,0.002976172,0.00005850616,0.009264289],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008449721,"threshold_uncertainty_score":0.01680112,"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."}}