{"id":"W4417490746","doi":"10.1051/e3sconf/202568000077","title":"Review of AI methods in precision agriculture","year":2025,"lang":"fr","type":"article","venue":"E3S Web of Conferences","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Francophone University Association","funders":"","keywords":"Precision agriculture; Sustainability; Deep learning; Quality (philosophy); Agriculture; Work (physics); Convolutional neural network; Applications of artificial intelligence","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":[0.00169088,0.001214121,0.001287184,0.00332266,0.0005114924,0.002294529,0.001645222,0.001892207,0.009770123],"category_scores_gemma":[0.006074976,0.0006044109,0.001124275,0.004276423,0.0008590356,0.002567205,0.0009460318,0.001586627,0.005002405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001068548,"about_ca_system_score_gemma":0.002455652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002579805,"about_ca_topic_score_gemma":0.00228062,"domain_scores_codex":[0.9989427,0.0002488739,0.0001557113,0.0001908994,0.0004082242,0.00005353066],"domain_scores_gemma":[0.9957767,0.002990194,0.0002158124,0.0001512106,0.0007831817,0.0000828871],"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":[0.00006933044,0.00005099023,0.0003546918,0.02705904,0.0002043338,0.0001726047,0.0001317484,0.002621925,0.00131126,0.01686236,0.05884926,0.8923125],"study_design_scores_gemma":[0.000009520454,0.00006142095,0.000693717,0.006493872,0.0001277288,0.0003767362,0.00006945464,0.00107305,0.0006036839,0.01066279,0.9797853,0.00004270937],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002412017,0.9818373,0.008117274,0.001256509,0.001326198,0.00002540863,0.0001395447,0.00008892723,0.006967579],"genre_scores_gemma":[0.003307805,0.9844788,0.006915656,0.001026934,0.001539613,0.00004506545,0.0002632959,0.00004632708,0.00237651],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009770123,"threshold_uncertainty_score":0.03268433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03010947030378696,"score_gpt":0.3410533480664058,"score_spread":0.3109438777626188,"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."}}