{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:JWRIH44RXKAW7OXVGF5F5SJB44","short_pith_number":"pith:JWRIH44R","schema_version":"1.0","canonical_sha256":"4da283f391ba816fbaf5317a5ec921e71db95cf42faff2a05a8487814fec9831","source":{"kind":"arxiv","id":"2409.17617","version":1},"attestation_state":"computed","paper":{"title":"Estimating The Carbon Footprint Of Digital Agriculture Deployment: A Parametric Bottom-Up Modelling Approach","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CY","authors_text":"Anne-Laure Ligozat (ENSIIE, Aur\\'elie Bugeau (IUF, Ga\\\"el Guennebaud, LaBRI, LISN, Pierre La Rocca, STL), UB)","submitted_at":"2024-09-26T08:09:36Z","abstract_excerpt":"Digitalization appears as a lever to enhance agriculture sustainability. However, existing works on digital agriculture's own sustainability remain scarce, disregarding the environmental effects of deploying digital devices on a large-scale. We propose a bottom-up method to estimate the carbon footprint of digital agriculture scenarios considering deployment of devices over a diversity of farm sizes. It is applied to two use-cases and demonstrates that digital agriculture encompasses a diversity of devices with heterogeneous carbon footprints and that more complex devices yield higher footprin"},"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":"2409.17617","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2024-09-26T08:09:36Z","cross_cats_sorted":[],"title_canon_sha256":"6c939a7e81125354c9bf6572afd8720c419dc3c224290a6f05192cbc01d484f9","abstract_canon_sha256":"8578e72b8c9632b2c4e47f32a55270f85e1255c9e1465ee98066a0e638517467"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:12:12.873431Z","signature_b64":"E/Fk4m58AKM4tgkonbY8hG+m2Oo6IANtcE9We1GKL8Zt2Ng5jJjtO1JlFvBkLIuhaL6zOf2MUEIbq28mwnhYDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4da283f391ba816fbaf5317a5ec921e71db95cf42faff2a05a8487814fec9831","last_reissued_at":"2026-07-05T09:12:12.872884Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:12:12.872884Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Estimating The Carbon Footprint Of Digital Agriculture Deployment: A Parametric Bottom-Up Modelling Approach","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CY","authors_text":"Anne-Laure Ligozat (ENSIIE, Aur\\'elie Bugeau (IUF, Ga\\\"el Guennebaud, LaBRI, LISN, Pierre La Rocca, STL), UB)","submitted_at":"2024-09-26T08:09:36Z","abstract_excerpt":"Digitalization appears as a lever to enhance agriculture sustainability. However, existing works on digital agriculture's own sustainability remain scarce, disregarding the environmental effects of deploying digital devices on a large-scale. We propose a bottom-up method to estimate the carbon footprint of digital agriculture scenarios considering deployment of devices over a diversity of farm sizes. It is applied to two use-cases and demonstrates that digital agriculture encompasses a diversity of devices with heterogeneous carbon footprints and that more complex devices yield higher footprin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.17617","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/2409.17617/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":"2409.17617","created_at":"2026-07-05T09:12:12.872950+00:00"},{"alias_kind":"arxiv_version","alias_value":"2409.17617v1","created_at":"2026-07-05T09:12:12.872950+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.17617","created_at":"2026-07-05T09:12:12.872950+00:00"},{"alias_kind":"pith_short_12","alias_value":"JWRIH44RXKAW","created_at":"2026-07-05T09:12:12.872950+00:00"},{"alias_kind":"pith_short_16","alias_value":"JWRIH44RXKAW7OXV","created_at":"2026-07-05T09:12:12.872950+00:00"},{"alias_kind":"pith_short_8","alias_value":"JWRIH44R","created_at":"2026-07-05T09:12:12.872950+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/JWRIH44RXKAW7OXVGF5F5SJB44","json":"https://pith.science/pith/JWRIH44RXKAW7OXVGF5F5SJB44.json","graph_json":"https://pith.science/api/pith-number/JWRIH44RXKAW7OXVGF5F5SJB44/graph.json","events_json":"https://pith.science/api/pith-number/JWRIH44RXKAW7OXVGF5F5SJB44/events.json","paper":"https://pith.science/paper/JWRIH44R"},"agent_actions":{"view_html":"https://pith.science/pith/JWRIH44RXKAW7OXVGF5F5SJB44","download_json":"https://pith.science/pith/JWRIH44RXKAW7OXVGF5F5SJB44.json","view_paper":"https://pith.science/paper/JWRIH44R","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2409.17617&json=true","fetch_graph":"https://pith.science/api/pith-number/JWRIH44RXKAW7OXVGF5F5SJB44/graph.json","fetch_events":"https://pith.science/api/pith-number/JWRIH44RXKAW7OXVGF5F5SJB44/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/JWRIH44RXKAW7OXVGF5F5SJB44/action/timestamp_anchor","attest_storage":"https://pith.science/pith/JWRIH44RXKAW7OXVGF5F5SJB44/action/storage_attestation","attest_author":"https://pith.science/pith/JWRIH44RXKAW7OXVGF5F5SJB44/action/author_attestation","sign_citation":"https://pith.science/pith/JWRIH44RXKAW7OXVGF5F5SJB44/action/citation_signature","submit_replication":"https://pith.science/pith/JWRIH44RXKAW7OXVGF5F5SJB44/action/replication_record"}},"created_at":"2026-07-05T09:12:12.872950+00:00","updated_at":"2026-07-05T09:12:12.872950+00:00"}