Дарозӣ ба вазни моҳӣ Абзорҳои моҳидорӣ
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Аз дарозӣ вазни моҳиро тахмин кунед (W = aL^b)

Тахмин кунед Вазн from моҳӣ дарозӣ and коэффитсиентҳо a and b, then нигоҳ the натиҷа, хатогӣ range, saved коэффитсиент sets, and мубодилашаванда JSON in one workflow.

Саҳифа фарзияҳои TL / FL / SL-ро возеҳ нишон медиҳад ва тахминҳои зуд, мутобиқсозии коэффитсиентҳо ва коркарди гурӯҳиро бидуни тарк кардани браузер дастгирӣ мекунад.

Вуруди дарозӣ дар cm ё inches, баромади вазн дар g, kg, oz ё lb Танзимоти истинодӣ, сабти браузер ва мубодилаи JSON a-ро аз як намуна ёбед ё a ва b-ро аз чанд намуна мувофиқ кунед Ҳисоби гурӯҳӣ ва содироти CSV барои чанд моҳӣ

Ин абзор чиро дар бар мегирад

Ворид кунед намуди моҳӣ, дарозӣ, дарозӣ type, and коэффитсиентҳо a and b to ҳисоб estimated Вазн and a practical хатогӣ range immediately.
Start from FishBase-based истинод танзимоти пешфарз, then replace them with your own field or factory коэффитсиентҳо and reuse them later.
Download коэффитсиент sets as JSON, import them again, or эҷод a мубодилашаванда URL with the current state.
When коэффитсиентҳо are unknown, derive them from a single намуна or from multiple measured pairs.
The page is prepared for Japanese and English истифода and for Воҳид switching in international workflows.

Чӣ тавр истифода бурдан

  1. Ворид кунед the намуди моҳӣ name, дарозӣ, Воҳид, and дарозӣ type, then интихоб a истинод танзими пешфарз or ворид коэффитсиентҳо a and b directly.
  2. Adjust the хатогӣ percentage to update the estimated Вазн and range on the right in real time.
  3. Once the коэффитсиентҳо are settled, сабт them with a name and эзоҳҳо or export them as JSON.
  4. Истифода баред the коэффитсиент fitting tab when you do not know the коэффитсиентҳо yet, and the Партия tab when you need натиҷаҳо for many measurements.

Examples

Estimate from a reference preset

Input

Species: Japanese jack mackerel, length: 35 cm, length type: TL, a=0.01096, b=2.97, error: ±20%

Output

Estimated weight: about 421 g, range: about 337 g to 505 g

Solve for a from one sample

Input

Length: 35 cm, observed weight: 432 g, assumed b: 3.0

Output

a = 0.01008, formula: W(g) = 0.01008 × L(cm)^3.0

Batch calculation

Input

Run 25 cm, 30 cm, and 35 cm with the same coefficient set

Output

List estimated weight, low range, and high range for each row and export the table as CSV

Reference presets

Built-in presets are reference values only. Check the source label and length-type assumption in the result panel, and replace them with measured operating values whenever possible.

Japanese jack mackerel: a=0.01096, b=2.97, TL, based on cm/g. FishBase reference value.
Chub mackerel: a=0.00741, b=3.05, TL, based on cm/g. FishBase reference value.
Olive flounder: a=0.00794, b=3.07, TL, based on cm/g. FishBase reference value.
Japanese seabass: a=0.01259, b=3.02, TL, based on cm/g. FishBase reference value.
Red seabream: a=0.01288, b=3.03, TL, based on cm/g. FishBase reference value.
Blackhead seabream: a=0.02138, b=2.99, TL, based on cm/g. FishBase reference value.

Луғат

TL / FL / SL

Total length, fork length, and standard length. The coefficient set is only valid when the same length definition is used.

Coefficients a and b

The values that define the relationship W = aL^b. They vary by species, region, season, and stock condition.

Error range

The working range around the estimate. Adjust it to reflect regional differences, maturity, and body condition.

Reference coefficient

A coefficient set taken from published or public reference data. Validate it before operational use.

Fitted coefficient

A coefficient set derived from your own measured fish, either by back-solving or by regression.

Формулаҳо

  • Estimated weight W(g) = a × L(cm)^b
  • Lower bound = W × (1 - error% / 100)
  • Upper bound = W × (1 + error% / 100)
  • Single-sample solve: a = W / L^b
  • Multi-sample fit: log(W) = log(a) + b log(L)

Саволҳои маъмул

Ман a ва b-ро намедонам. Чӣ кор кунам?

Истифода баред the коэффитсиент fitting tab. You can solve for a from one measured намуна, or fit both a and b from multiple дарозӣ-Вазн pairs.

Can I ҳисоб many моҳӣ at once?

Ҳа. The Партия tab accepts table entry and CSV-style paste, and the натиҷа can be downloaded as CSV.

Can I гузар between cm and inches, or g and lb?

Ҳа. Вуруд and натиҷа units can be changed at any time. Internal calculations always истифода cm and g.

Why can the тахмин be far from the actual Вазн?

моҳӣ of the same намуди моҳӣ still vary by region, season, maturity, fatness, and measurement method. Истифода баред the тахмин as a range, not as a guaranteed exact value.

Where are saved коэффитсиентҳо stored?

Without login support, saved sets live in this браузер's localҲафиза. Нигоҳ доред a JSON export if you need a portable нусха.

Is any маълумот sent to a server?

Не. Calculation, сабт, and JSON generation all stay inside the браузер.

Эзоҳҳои муҳим

  • This тахмин is only a роҳнамо. Region, season, maturity, body condition, and measurement method can change the натиҷа substantially.
  • Always истифода коэффитсиентҳо with the same дарозӣ type and Воҳид assumption. The internal base is cm and g.
  • Танзимоти истинодӣ are not operating values. Истифода баред measured маълумот to соз your own sets whenever possible.