{"id":"W4416457766","doi":"10.1007/978-3-032-05603-0_5","title":"IoT-Driven Climate Smart Agriculture: Adapting to a Changing Climate for Sustainable Farming","year":2025,"lang":"en","type":"book-chapter","venue":"Studies in computational intelligence","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"George Brown College","funders":"","keywords":"Sustainable agriculture; Agriculture; Greenhouse gas; Transformative learning; Climate change; Sustainability; Flexibility (engineering); Food security; Climate resilience; Internet of Things","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":[0.0001549697,0.00042259,0.000200939,0.0003209634,0.0002795538,0.001849315,0.0006020672,0.000854077,0.007547598],"category_scores_gemma":[0.0002572241,0.0001717008,0.0003385891,0.0009241729,0.00107955,0.002374395,0.0008554897,0.0009307554,0.002122037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005756099,"about_ca_system_score_gemma":0.0004402421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009884575,"about_ca_topic_score_gemma":0.001975212,"domain_scores_codex":[0.9999154,0.00001479115,0.000003062426,0.00001761762,0.00004022422,0.000009004155],"domain_scores_gemma":[0.9999143,0.00005114753,0.000004944996,0.00001023181,0.00001111742,0.000008296139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003979594,0.00005614997,0.0004188294,0.0005252876,0.00002513745,0.0001844274,0.0004707629,0.01346511,0.005923869,0.5976416,0.0837423,0.2975067],"study_design_scores_gemma":[0.000005405492,0.00002516427,0.000573748,0.000234937,0.000009603771,0.0002333993,0.000353211,0.01433771,0.002153953,0.2876541,0.6943998,0.0000189273],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009167801,0.04827669,0.1739874,0.008535218,0.004775131,0.00006099627,0.0003471456,0.0006038902,0.7542458],"genre_scores_gemma":[0.2570457,0.09871829,0.1031224,0.004224671,0.002469058,0.0001731096,0.0008549034,0.0005490959,0.5328428],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.007547598,"threshold_uncertainty_score":0.02524918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0590699438999587,"score_gpt":0.312860706266587,"score_spread":0.2537907623666283,"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."}}