Green Harvest Drop Cluster Weight Calculator

Expand actual tare-corrected sampled dropped-cluster mass through independently observed dropped inventory; not target-yield thinning inverse, retained harvest forecast or removal recommendation.

Description

Dropped-cluster samples require tare correction before expansion to the represented inventory.

Dropped-cluster samples require tare correction before expansion to the represented inventory. The observed sample and represented count serve different roles.^[1]

Enter aligned nonempty nonnegative gross/tare, integer sample counts 1–1,000,000 and represented counts 0–1,000,000. Reject tare>gross; return means, expanded masses and total.

When to use Green Harvest Drop Cluster Weight Calculator

Use Green Harvest Drop Cluster Weight Calculator when you need to evaluate the supplied records under the calculation and evidence rules below. No retained-yield forecast, target thinning or sampling representativeness is established.

Prepare the measured vineyard records, aligned lists and independently verified local limits or catalog requested. Keep units, crop stages and observation periods consistent.

How to use Green Harvest Drop Cluster Weight Calculator and understand its results

Prepare the measured vineyard records, aligned lists and independently verified local limits or catalog requested. Keep units, crop stages and observation periods consistent.
Enter observedDroppedClusterCounts, measuredDroppedLotGrossMassKg, measuredDroppedLotContainerTareKg, representedDroppedClusterCounts using the field table and calculation rules, then run the tool.
Read observedDroppedMeanClusterMassKg, expandedDroppedClusterMassKg, totalExpandedDroppedMassKg. The explanation below defines the units, signs, ordering and any flags or placeholder values.
If the tool reports an input issue, correct the values and run it again. Apply the stated assumptions when interpreting a successfully returned result.

Input field	Meaning	Value type; see rules below	Requirement
observedDroppedClusterCounts	Observed dropped cluster counts	list of number	Required
measuredDroppedLotGrossMassKg	Measured dropped lot gross mass kg	list of number	Required
measuredDroppedLotContainerTareKg	Measured dropped lot container tare kg	list of number	Required
representedDroppedClusterCounts	Represented dropped cluster counts	list of number	Required

Enter aligned nonempty nonnegative gross/tare, integer sample counts 1–1,000,000 and represented counts 0–1,000,000. Reject tare>gross; return means, expanded masses and total.

meanMass=(gross−tare)/sampleCount; expanded=meanMass×representedCount

Units, indexing, boundary conditions and exceptional cases are defined in the calculation rules above.

Output field	Meaning	Value type
observedDroppedMeanClusterMassKg	Observed dropped mean cluster mass kg	list of number
expandedDroppedClusterMassKg	Expanded dropped cluster mass kg	list of number
totalExpandedDroppedMassKg	Total expanded dropped mass kg	number

json

{
  "input": {
    "observedDroppedClusterCounts": [
      2,
      3
    ],
    "measuredDroppedLotGrossMassKg": [
      1,
      2
    ],
    "measuredDroppedLotContainerTareKg": [
      0.2,
      0.5
    ],
    "representedDroppedClusterCounts": [
      10,
      20
    ]
  },
  "output": {
    "observedDroppedMeanClusterMassKg": [
      0.4,
      0.5
    ],
    "expandedDroppedClusterMassKg": [
      4,
      10
    ],
    "totalExpandedDroppedMassKg": 14
  }
}

Limitations and assumptions

No retained-yield forecast, target thinning or sampling representativeness is established.

Numeric inputs, where present, must be finite. Follow the calculation-specific rules for overflow, underflow and exceptional cases. Numeric lists are limited to 10,000 entries; string lists to 128 strings of at most 128 characters each. The rules above may impose smaller limits. Missing required fields, extra fields, wrong value types and violations of the calculation rules are input errors.

Alternative or Complementary methods

Use Bud Fruitfulness Cluster Per Shoot Lookup: Bud fruitfulness distinguishes clusters per burst shoot from burst shoots per retained bud. Those denominators should stay separate. For a complementary task, use Bird Damage Loss Percent Estimate Calculator: Protected-versus-exposed harvest comparisons give an apparent loss proxy. Protection can change conditions beyond bird access.

References

Green Harvest Drop Cluster Weight Calculator — tool.io

Similar or alternative tools

Bud Fruitfulness Cluster Per Shoot Lookup
Bud fruitfulness distinguishes clusters per burst shoot from burst shoots per retained bud. Those denominators should stay separate.
Bird Damage Loss Percent Estimate Calculator
Protected-versus-exposed harvest comparisons give an apparent loss proxy. Protection can change conditions beyond bird access.