{"id":43131,"date":"2026-10-17T09:59:12","date_gmt":"2026-10-17T07:59:12","guid":{"rendered":"https:\/\/smartdatamodels.org\/?p=43131"},"modified":"2026-10-15T00:01:46","modified_gmt":"2026-10-14T22:01:46","slug":"saref4agri-saref4auto-join-smart-data-models-58-candidate-models-for-precision-agriculture-and-connected-vehicles","status":"publish","type":"post","link":"https:\/\/smartdatamodels.org\/index.php\/saref4agri-saref4auto-join-smart-data-models-58-candidate-models-for-precision-agriculture-and-connected-vehicles\/","title":{"rendered":"SAREF4AGRI &#038; SAREF4AUTO Join Smart Data Models: 58 Candidate Models for Precision Agriculture and Connected Vehicles"},"content":{"rendered":"<p>Smart Data Models&#8217; <a href=\"https:\/\/github.com\/smart-data-models\/Candidates\">Candidates repository<\/a> now includes two more ETSI <strong>SAREF<\/strong> extensions: <strong><code>saref4agri<\/code><\/strong> and<strong><code> saref4auto<\/code><\/strong>, together contributing <strong>58 candidate models<\/strong>. Both ship<br \/>\nthe full Candidates artifact set \u2014 a JSON Schema, an NGSI-LD <code>@context<\/code>, and all four example serializations \u2014 validated against its own schema.<\/p>\n<h2 id=\"saref4agri-21-models\">SAREF4AGRI \u2014 21 models<\/h2>\n<p><a href=\"https:\/\/saref.etsi.org\/saref4agri\/v2.1.1\/\">SAREF4AGRI<\/a> (ETSI TS 103 410-6) extends SAREF into precision agriculture and livestock monitoring, stitching together W3C SSN\/SOSA (systems, platforms, deployments), GeoSPARQL (farm and parcel topology), the TIME ontology (deployment periods), OBO TAXRANK (species classification), and FOAF (farmers and farm holdings as organizations). It&#8217;s grounded in two worked examples in the standard: a livestock farm with milking and eating-activity sensors, and a smart-irrigation deployment with soil tensiometers and pluviometers reporting through a platform\/system\/deployment chain.<\/p>\n<table>\n<thead>\n<tr>\n<th>Category<\/th>\n<th>Models<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Features of interest \/ topology<\/td>\n<td><code>Animal<\/code>, <code>AnimalGroup<\/code>, <code>Crop<\/code>, <code>Soil<\/code>, <code>Parcel<\/code>, <code>Farm<\/code><\/td>\n<\/tr>\n<tr>\n<td>People \/ organizations<\/td>\n<td><code>Farmer<\/code>, <code>FarmHolding<\/code><\/td>\n<\/tr>\n<tr>\n<td>Infrastructure<\/td>\n<td><code>Platform<\/code>, <code>Deployment<\/code><\/td>\n<\/tr>\n<tr>\n<td>Smart-irrigation sensors\/actuators<\/td>\n<td><code>Pluviometer<\/code>, <code>SoilTensiometer<\/code>, <code>WeatherStation<\/code>, <code>WateringGun<\/code>, <code>WateringSystem<\/code>, <code>WateringValve<\/code>, <code>Thermometer<\/code><\/td>\n<\/tr>\n<tr>\n<td>Livestock-farming sensors<\/td>\n<td><code>MovementActivitySensor<\/code>, <code>EatingActivitySensor<\/code>, <code>MilkingSensor<\/code>, <code>WeightSensor<\/code><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><a href=\"https:\/\/github.com\/smart-data-models\/Candidates\/tree\/master\/standards\/saref4agri\">https:\/\/github.com\/smart-data-models\/Candidates\/tree\/master\/standards\/saref4agri<\/a><\/p>\n<h2 id=\"saref4auto-37-models\">SAREF4AUTO \u2014 37 models<\/h2>\n<p><a href=\"https:\/\/saref.etsi.org\/saref4auto\/v2.1.1\/\">SAREF4AUTO<\/a> (ETSI TS 103 410-7) is SAREF&#8217;s extension for <strong>connected and automated vehicles<\/strong> and the roadside infrastructure (C-ITS) that supports them \u2014 vehicles, trailers, dangerous-goods cargo, vehicle platoons, pedestrians\/cyclists and their clusters, parking spots, roadside units\/sensors\/actuators\/traffic lights, traffic management centres, and a wide catalogue of sensor types (lidar, radar, UWB, stereovision&#8230;).<\/p>\n<table>\n<thead>\n<tr>\n<th>Category<\/th>\n<th>Models<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Core automotive entities<\/td>\n<td><code>AutomotiveEntity<\/code>, <code>TrafficParticipant<\/code>, <code>Vehicle<\/code>, <code>Trailer<\/code>, <code>DangerousGoods<\/code><\/td>\n<\/tr>\n<tr>\n<td>Platooning<\/td>\n<td><code>Platoon<\/code>, <code>PlatoonJoin<\/code>, <code>PlatoonBreakup<\/code>, <code>PlatoonLeave<\/code><\/td>\n<\/tr>\n<tr>\n<td>Vulnerable road users<\/td>\n<td><code>VulnerableRoadUser<\/code>, <code>VRUCluster<\/code>, <code>ClusterJoin<\/code>, <code>ClusterBreakup<\/code>, <code>ClusterLeave<\/code><\/td>\n<\/tr>\n<tr>\n<td>Roadside infrastructure<\/td>\n<td><code>AutomotiveDevice<\/code>, <code>RoadSideEquipment<\/code>, <code>RoadSideUnit<\/code>, <code>RoadSideActuator<\/code>, <code>TrafficLightController<\/code>, <code>RoadSideSensor<\/code>, <code>TrafficManagementCentre<\/code><\/td>\n<\/tr>\n<tr>\n<td>Traffic events &amp; parking<\/td>\n<td><code>TrafficEventObservation<\/code>, <code>TrafficEventCause<\/code>, <code>ParkingSpot<\/code><\/td>\n<\/tr>\n<tr>\n<td>Sensors<\/td>\n<td>13 types, e.g. <code>LidarSensor<\/code>, <code>RadarSensor<\/code>, <code>StereovisionSensor<\/code>, <code>UwbSensor<\/code><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><a href=\"https:\/\/github.com\/smart-data-models\/Candidates\/tree\/master\/standards\/saref4auto\">https:\/\/github.com\/smart-data-models\/Candidates\/tree\/master\/standards\/saref4auto<\/a><\/p>\n<h2 id=\"translation-notes\">Translation notes<\/h2>\n<ul>\n<li><strong>Large named-individual vocabularies, kept open rather than exploded. <\/strong>SAREF4AUTO&#8217;s 161-member <code>TrafficEventCause<\/code> vocabulary (drawn from ETSI&#8217;s ITS Common Data Dictionary) became one entity with an open<code> causeCode<\/code> and a closed <code>category<\/code> enum of the 20 top-level causes \u2014 not ~160 separate models. Similarly, ~30 vehicle kinds, ~20 dangerous-goods kinds, and VRU profile\/sub-profile vocabularies were folded into enum-valued attributes on their owning entity.<\/li>\n<li><strong>Generic value-wrapper classes excluded.<\/strong> Eight SAREF4AUTO OWL &#8220;typing&#8221; classes with no domain content of their own (<code>BooleanProperty<\/code>, <code>DecimalProperty<\/code>, <code>ConfidenceValue<\/code>&#8230;) aren&#8217;t modeled as entities \u2014 every property using them is instead a plain typed attribute on its owning entity. Net effect: ~46 raw primary classes in scope \u2192 37 genuinely distinct models.<\/li>\n<li><strong>Road topology deliberately excluded.<\/strong> SAREF4AUTO&#8217;s own <code>Road<\/code>\/<code> RoadSegment<\/code>\/<code>Lane<\/code> classes were left out of this translation, since they would duplicate rather than extend the official<code> dataModel.Transportation<\/code> subject&#8217;s existing coverage.<\/li>\n<li><strong>Two naming collisions found, kept verbatim.<\/strong> SAREF4AUTO&#8217;s own<code> Vehicle<\/code> (C-ITS\/kinematics-oriented: heading, speed, automation level) and <code>ParkingSpot<\/code> (thinner, C-ITS-oriented) share a name with existing official Smart Data Models that cover complementary but non-identical ground (fleet\/telematics <code>Vehicle<\/code>; richer occupancy-model<code> ParkingSpot<\/code>). SAREF4AGRI&#8217;s <code>Animal<\/code> likewise shares a name with the official <code>dataModel.Agrifood<\/code>&#8216;s own <code>Animal<\/code>. Per the translation policy, names were kept exactly as the source ontologies define them rather than renamed to dodge the collision \u2014 flagged in each standard&#8217;s<code> standard-metadata.yaml<\/code> for the Candidates review process to resolve.<\/li>\n<\/ul>\n<h2 id=\"try-it-and-tell-us-whats-missing\">Try it, and tell us what&#8217;s missing<\/h2>\n<p>These are <strong>Candidates<\/strong> \u2014 first, carefully-sourced translations, not yet<br \/>\npromoted to official Smart Data Models subjects. The naming collisions<br \/>\nabove are the main open item for both standards before promotion.<\/p>\n<p>Browse the models, open an issue, or send a PR:<br \/>\n\ud83d\udc49 <a href=\"https:\/\/github.com\/smart-data-models\/Candidates\/tree\/master\/standards\/saref4agri\">https:\/\/github.com\/smart-data-models\/Candidates\/tree\/master\/standards\/saref4agri<\/a><br \/>\n\ud83d\udc49 <a href=\"https:\/\/github.com\/smart-data-models\/Candidates\/tree\/master\/standards\/saref4auto\">https:\/\/github.com\/smart-data-models\/Candidates\/tree\/master\/standards\/saref4auto<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Smart Data Models&#8217; Candidates repository now includes two more ETSI SAREF extensions: saref4agri and saref4auto, together contributing 58 candidate models. Both ship the full Candidates artifact set \u2014 a JSON Schema, an NGSI-LD @context, and all four example serializations \u2014 validated against its own schema. SAREF4AGRI \u2014 21 models SAREF4AGRI&#8230; <a class=\"continue-reading-link\" href=\"https:\/\/smartdatamodels.org\/index.php\/saref4agri-saref4auto-join-smart-data-models-58-candidate-models-for-precision-agriculture-and-connected-vehicles\/\">More&#8230;<\/a><\/p>\n","protected":false},"author":15,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"jetpack_post_was_ever_published":false},"categories":[101,42],"tags":[],"class_list":["post-43131","post","type-post","status-publish","format-standard","hentry","category-agrifood","category-transportation"],"jetpack_publicize_connections":[],"jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":43129,"url":"https:\/\/smartdatamodels.org\/index.php\/saref4ener-saref4envi-join-smart-data-models-116-candidate-models-for-energy-flexibility-and-environment\/","url_meta":{"origin":43131,"position":0},"title":"SAREF4ENER &#038; SAREF4ENVI Join Smart Data Models: 116 Candidate Models for Energy Flexibility and Environment","author":"Agent","date":"14\/10\/2026","format":false,"excerpt":"Smart Data Models' Candidates repository now includes two new candidate standards translated from ETSI's SAREF (\"Smart Applications REFerence\") ontology family: saref4ener and saref4envi, together contributing 116 candidate models. Both are official ETSI Technical Specifications, each with a normative PDF and a published Turtle\/JSON-LD\/RDF-XML ontology, and both ship the full Candidates\u2026","rel":"","context":"In &quot;Energy&quot;","block_context":{"text":"Energy","link":"https:\/\/smartdatamodels.org\/index.php\/category\/energy\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":43130,"url":"https:\/\/smartdatamodels.org\/index.php\/saref4city-saref4inma-join-smart-data-models-35-candidate-models-for-smart-cities-and-manufacturing\/","url_meta":{"origin":43131,"position":1},"title":"SAREF4CITY &#038; SAREF4INMA Join Smart Data Models: 35 Candidate Models for Smart Cities and Manufacturing","author":"Agent","date":"18\/10\/2026","format":false,"excerpt":"Smart Data Models' Candidates repository now includes two more ETSI SAREF extensions: saref4city and saref4inma, together contributing 35 candidate models. Both ship the full Candidates artifact set \u2014 a JSON Schema, an NGSI-LD @context, and all four example serializations \u2014 validated against its own schema. SAREF4CITY \u2014 14 models SAREF4CITY\u2026","rel":"","context":"In &quot;Manufacturing&quot;","block_context":{"text":"Manufacturing","link":"https:\/\/smartdatamodels.org\/index.php\/category\/manufacturing\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":43132,"url":"https:\/\/smartdatamodels.org\/index.php\/saref4ehaw-saref4wear-join-smart-data-models-41-candidate-models-for-ehealth-and-wearables\/","url_meta":{"origin":43131,"position":2},"title":"SAREF4EHAW &#038; SAREF4WEAR Join Smart Data Models: 41 Candidate Models for eHealth and Wearables","author":"Agent","date":"16\/10\/2026","format":false,"excerpt":"Smart Data Models' Candidates repository now includes two more ETSI SAREF extensions, both from the health and personal-devices space: saref4ehaw and saref4wear, together contributing 41 candidate models. Both ship the full Candidates artifact set \u2014 a JSON Schema, an NGSI-LD @context, and all four example serializations \u2014 validated against its\u2026","rel":"","context":"In &quot;Device&quot;","block_context":{"text":"Device","link":"https:\/\/smartdatamodels.org\/index.php\/category\/device\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":43133,"url":"https:\/\/smartdatamodels.org\/index.php\/saref4watr-saref4grid-join-smart-data-models-89-candidate-models-for-water-and-smart-grid-metering\/","url_meta":{"origin":43131,"position":3},"title":"SAREF4WATR &#038; SAREF4GRID Join Smart Data Models: 89 Candidate Models for Water and Smart Grid Metering","author":"Agent","date":"15\/10\/2026","format":false,"excerpt":"Smart Data Models' Candidates repository now includes two more ETSI SAREF extensions, both built around smart metering: saref4watr and saref4grid, together contributing 89 candidate models \u2014 the largest pair in this translation round. Both ship the full Candidates artifact set \u2014 a JSON Schema, an NGSI-LD @context, and all four\u2026","rel":"","context":"In &quot;Energy&quot;","block_context":{"text":"Energy","link":"https:\/\/smartdatamodels.org\/index.php\/category\/energy\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":38306,"url":"https:\/\/smartdatamodels.org\/index.php\/introducing-the-smart-data-models-candidates-repository\/","url_meta":{"origin":43131,"position":4},"title":"Introducing the Smart Data Models Candidates Repository","author":"Agent","date":"22\/07\/2026","format":false,"excerpt":"The Smart Data Models now has a Candidates repository \u2014 a low-friction entry point where any existing standard, ontology or open dataset can be translated into the SDM shape (JSON Schema + NGSI-LD context + examples) before anyone commits to the full contribution process. The first entry, translated from the\u2026","rel":"","context":"In &quot;contribution&quot;","block_context":{"text":"contribution","link":"https:\/\/smartdatamodels.org\/index.php\/category\/contribution\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2026\/07\/Gemini_Generated_Image_38hkfh38hkfh38hk-300x164.png?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2026\/07\/Gemini_Generated_Image_38hkfh38hkfh38hk-300x164.png?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2026\/07\/Gemini_Generated_Image_38hkfh38hkfh38hk-300x164.png?resize=525%2C300&ssl=1 1.5x"},"classes":[]},{"id":42715,"url":"https:\/\/smartdatamodels.org\/index.php\/new-candidate-models-simples-business-service-extensions-to-federated\/","url_meta":{"origin":43131,"position":5},"title":"New candidate models: SIMPLE&#8217;s Business Service extensions to FEDeRATED","author":"Agent","date":"02\/10\/2026","format":false,"excerpt":"Nine new candidate data models are now available in the Smart Data Models Candidates repository, covering business transactions and logistics services for road and rail freight, translated from the SIMPLE project's extensions to the FEDeRATED Business Service ontology. The models cover the full lifecycle of a freight movement: Consignment and\u2026","rel":"","context":"In &quot;SmartLogistics&quot;","block_context":{"text":"SmartLogistics","link":"https:\/\/smartdatamodels.org\/index.php\/category\/smartlogistics\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]}],"jetpack_featured_media_url":"","_links":{"self":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/43131","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/users\/15"}],"replies":[{"embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/comments?post=43131"}],"version-history":[{"count":2,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/43131\/revisions"}],"predecessor-version":[{"id":43157,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/43131\/revisions\/43157"}],"wp:attachment":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/media?parent=43131"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/categories?post=43131"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/tags?post=43131"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}