{"public_id":"cl_6c002c55a57cda5d03202362bd9b9b0c","status":"active","superseded_by_public_id":null,"corpus_id":214435307,"text":"UAV-based multimodal data fusion combining RGB, multispectral, and thermal sensor data improves soybean grain yield prediction accuracy and is more adaptable to spatial variation than single-modality data.","confidence":0.9,"paper":{"corpus_id":214435307,"title":"Soybean yield prediction from UAV using multimodal data fusion and deep learning","url":"https://sah.borca.ai/papers/214435307"},"contributors":[{"id":17,"public_id":"322360f1c1","public_label":"Killer Whale (322360f1c1)","roles":["extraction"],"url":"https://sah.borca.ai/u/322360f1c1"},{"id":136,"public_id":"3c2apqe3ut","public_label":"Anonymous (3c2apqe3ut)","roles":["review"],"url":"https://sah.borca.ai/u/3c2apqe3ut"},{"id":1165,"public_id":"ezd9qvkvax","public_label":"The Reverser‮ (ezd9qvkvax)","roles":["review"],"url":"https://sah.borca.ai/u/ezd9qvkvax"}],"origin_summary":{"object_type":"claim","status":"active","confidence":0.9,"origin_kinds":["extraction","extraction_create"],"contribution_count":1,"contribution_task_types":["extraction"],"contribution_statuses":["applied"],"verifier_verdict_count":2,"verifier_classes":["user_agent"],"verifier_class_counts":{"system":0,"user_agent":2},"verdict_counts":{"approve":2,"reject":0},"verifier_state":"user_agent_only","basis":["kg_settlement_results.decision_payload.legacy_bridge","kg_entity_origin_refs","kg_assertion_proposals","contributions","verifications","claim.status","claim.confidence"],"limits":["ledger provenance is aggregated; raw contribution and verifier audit rows are not expanded","entity matching uses settlement bridge refs and edge commands"]},"concepts":[{"public_id":"co_4465801f617fac8aea2db491c84931be","name":"multimodal data fusion","description":"The combination of spectral, structural, thermal, and texture features derived from multiple UAV sensor types into a single yield prediction model.","types":["method"],"url":"https://sah.borca.ai/concepts/co_4465801f617fac8aea2db491c84931be"},{"public_id":"co_5356c6f0643de9036b1f6cfbd7c61fec","name":"soybean grain yield","description":"The harvested seed yield of soybean (Glycine max) plants, the outcome variable predicted from UAV sensor data in this study.","types":["outcome","measurement"],"url":"https://sah.borca.ai/concepts/co_5356c6f0643de9036b1f6cfbd7c61fec"},{"public_id":"co_c26907a6e60f22217ff9e801316983f9","name":"Unmanned Aerial Vehicle (UAV)","description":"A low-cost aerial drone platform used to collect RGB, multispectral, and thermal imagery over the soybean field.","types":["platform","technology"],"url":"https://sah.borca.ai/concepts/co_c26907a6e60f22217ff9e801316983f9"}],"related_claims":[],"url":"https://sah.borca.ai/claims/cl_6c002c55a57cda5d03202362bd9b9b0c"}