{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:XKQMN2NARJMYBKTWVVA7BIFMY4","short_pith_number":"pith:XKQMN2NA","schema_version":"1.0","canonical_sha256":"baa0c6e9a08a5980aa76ad41f0a0acc7379e39ef8463ef4ecff8dcda2e0f5b22","source":{"kind":"arxiv","id":"2206.15042","version":1},"attestation_state":"computed","paper":{"title":"Automated Wheat Disease Detection using a ROS-based Autonomous Guided UAV","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.RO","authors_text":"Behzad Safarijalal, Esmaeil Najafi, Yousef Alborzi","submitted_at":"2022-06-30T06:12:48Z","abstract_excerpt":"With the increase in world population, food resources have to be modified to be more productive, resistive, and reliable. Wheat is one of the most important food resources in the world, mainly because of the variety of wheat-based products. Wheat crops are threatened by three main types of diseases which cause large amounts of annual damage in crop yield. These diseases can be eliminated by using pesticides at the right time. While the task of manually spraying pesticides is burdensome and expensive, agricultural robotics can aid farmers by increasing the speed and decreasing the amount of che"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2206.15042","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2022-06-30T06:12:48Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"af0aa1702ac022a01932b67d7c5d33c306b4a370afc42f7c612db7f0a26c5cdc","abstract_canon_sha256":"b36b64de50be64448a9d0ed52f4bd886afa38498918377618ddec66e8e6c0c51"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:36:24.427817Z","signature_b64":"zlGLtBISv2/fkC2SkA6XLi48DHYJHNVZZVcdoy/jjym4efxRxKqCdJqrJggxLILupwQMd0Z1OPK5wJ9SL7gGAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"baa0c6e9a08a5980aa76ad41f0a0acc7379e39ef8463ef4ecff8dcda2e0f5b22","last_reissued_at":"2026-07-05T04:36:24.427403Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:36:24.427403Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Automated Wheat Disease Detection using a ROS-based Autonomous Guided UAV","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.RO","authors_text":"Behzad Safarijalal, Esmaeil Najafi, Yousef Alborzi","submitted_at":"2022-06-30T06:12:48Z","abstract_excerpt":"With the increase in world population, food resources have to be modified to be more productive, resistive, and reliable. Wheat is one of the most important food resources in the world, mainly because of the variety of wheat-based products. Wheat crops are threatened by three main types of diseases which cause large amounts of annual damage in crop yield. These diseases can be eliminated by using pesticides at the right time. While the task of manually spraying pesticides is burdensome and expensive, agricultural robotics can aid farmers by increasing the speed and decreasing the amount of che"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.15042","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2206.15042/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2206.15042","created_at":"2026-07-05T04:36:24.427459+00:00"},{"alias_kind":"arxiv_version","alias_value":"2206.15042v1","created_at":"2026-07-05T04:36:24.427459+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.15042","created_at":"2026-07-05T04:36:24.427459+00:00"},{"alias_kind":"pith_short_12","alias_value":"XKQMN2NARJMY","created_at":"2026-07-05T04:36:24.427459+00:00"},{"alias_kind":"pith_short_16","alias_value":"XKQMN2NARJMYBKTW","created_at":"2026-07-05T04:36:24.427459+00:00"},{"alias_kind":"pith_short_8","alias_value":"XKQMN2NA","created_at":"2026-07-05T04:36:24.427459+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2509.06907","citing_title":"FoMo4Wheat: Toward reliable crop vision foundation models with globally curated data","ref_index":68,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/XKQMN2NARJMYBKTWVVA7BIFMY4","json":"https://pith.science/pith/XKQMN2NARJMYBKTWVVA7BIFMY4.json","graph_json":"https://pith.science/api/pith-number/XKQMN2NARJMYBKTWVVA7BIFMY4/graph.json","events_json":"https://pith.science/api/pith-number/XKQMN2NARJMYBKTWVVA7BIFMY4/events.json","paper":"https://pith.science/paper/XKQMN2NA"},"agent_actions":{"view_html":"https://pith.science/pith/XKQMN2NARJMYBKTWVVA7BIFMY4","download_json":"https://pith.science/pith/XKQMN2NARJMYBKTWVVA7BIFMY4.json","view_paper":"https://pith.science/paper/XKQMN2NA","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2206.15042&json=true","fetch_graph":"https://pith.science/api/pith-number/XKQMN2NARJMYBKTWVVA7BIFMY4/graph.json","fetch_events":"https://pith.science/api/pith-number/XKQMN2NARJMYBKTWVVA7BIFMY4/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/XKQMN2NARJMYBKTWVVA7BIFMY4/action/timestamp_anchor","attest_storage":"https://pith.science/pith/XKQMN2NARJMYBKTWVVA7BIFMY4/action/storage_attestation","attest_author":"https://pith.science/pith/XKQMN2NARJMYBKTWVVA7BIFMY4/action/author_attestation","sign_citation":"https://pith.science/pith/XKQMN2NARJMYBKTWVVA7BIFMY4/action/citation_signature","submit_replication":"https://pith.science/pith/XKQMN2NARJMYBKTWVVA7BIFMY4/action/replication_record"}},"created_at":"2026-07-05T04:36:24.427459+00:00","updated_at":"2026-07-05T04:36:24.427459+00:00"}