Analytic

Analytic

Fields

application_rate (PlantingRate)

The rate at which seed was applied to the field.

Argument Type Description
unit_system UnitSystem

The unit system in which the requestor would like the application rate. Defaults to Imperial (Seeds Per Acre).
crop_type (CropType)

The type of crop to analyze.

deliverables ([Deliverable!]!)

The deliverables that have been uploaded for this analytic.

error (String)

An error message describing why an order has a FAILED status

name (String)

The human understandable name of this type of analytic.

row_spacing (RowSpacing)

The spacing between rows.

Argument Type Description
unit_system UnitSystem

The unit system in which the requestor would like the row spacing. Defaults to Imperial (Inches).
sentera_id (ID!)

The ID of the analytic.

sku (SKU)

A unique identifier for this type of analytic.

status (AnalyticStatus!)

The status of the order

Examples

Query for an analytic

Retrieve an analytic.

Try this example in GraphiQL 
query Analytic {
  analytic(sentera_id: "bh42qka_AL_z3hAcme_CV_test_1ba88e5_170907_220547") {
  deliverables {
    sentera_id
    ...on Mosaic {
      name
      mosaic_type
      survey {
        sentera_id
        field {
          sentera_id
          organization {
            sentera_id
          }
        }
      }
    }
    ...on FeatureSet {
      name
      type
      owner {
        sentera_id
        ...on Survey {
          field {
            sentera_id
            organization {
              sentera_id
            }
          }
        }
      }
    }
  }
}

{
  "data": {
  "analytic": {
    "deliverables": [
      {
        "sentera_id": "8iwzfry_MO_gz3hAcme_CV_test_b9e1e25_241021_203216",
        "name": "Imperial Stand Count Heatmap - Male",
        "mosaic_type": "CUSTOM_INDEXED",
        "survey": {
          "sentera_id": "51x9mth_CO_gz3hAcme_AD_aksjaqxh_3dd4dd562_20240919_050041",
          "field": {
            "sentera_id": "ss5s3t2_AS_gz3hAcme_AD_aksjaqxh_3dd4dd562_20240917_190749",
            "organization": {
              "sentera_id": "hojdgnc_OR_gz3hAcme_CV_test_6b0eca6_240617_225825"
            }
          }
        }
      },
      {
        "sentera_id": "s6ditfu_MO_gz3hAcme_CV_test_b9e1e25_241021_203216",
        "name": "Imperial  Stand Count Heatmap - Female",
        "mosaic_type": "CUSTOM_INDEXED",
        "survey": {
          "sentera_id": "51x9mth_CO_gz3hAcme_AD_aksjaqxh_3dd4dd562_20240919_050041",
          "field": {
            "sentera_id": "ss5s3t2_AS_gz3hAcme_AD_aksjaqxh_3dd4dd562_20240917_190749",
            "organization": {
              "sentera_id": "hojdgnc_OR_gz3hAcme_CV_test_6b0eca6_240617_225825"
            }
          }
        }
      },
      {
        "sentera_id": "f0duhcq_FS_gz3hAcme_CV_test_b9e1e25_241021_203202",
        "name": "Imperial  Male Female Stand Count with Uniformity - Male Individual/Female Individual",
        "type": "MF_PLANT_COUNT",
        "owner": {
          "sentera_id": "51x9mth_CO_gz3hAcme_AD_aksjaqxh_3dd4dd562_20240919_050041",
          "field": {
            "sentera_id": "ss5s3t2_AS_gz3hAcme_AD_aksjaqxh_3dd4dd562_20240917_190749",
            "organization": {
              "sentera_id": "hojdgnc_OR_gz3hAcme_CV_test_6b0eca6_240617_225825"
            }
          }
        }
      }
    ]
  }
  }
}