Балық ұзындығынан салмаққа Балық шаруашылығы құралдары
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Ұзындықтан балық салмағын бағалау (W = aL^b)

Бағалаңыз салмақ from балық ұзындық and coefficients a and b, then keep the нәтиже, error range, saved coefficient sets, and бөлісуге болатын JSON in one workflow.

The page makes TL / FL / SL assumptions explicit and supports quick estimates, coefficient fitting, and batch processing without leaving the браузер.

ұзындық енгізу in cm or inches, салмақ нәтиже in g, кг, oz, or фунт Reference presets, браузер save, and JSON sharing Solve for a from one үлгі or fit a and b from multiple samples Batch calculation and CSV экспорт for many балық

What this tool covers

Enter species, ұзындық, ұзындық түрі, and coefficients a and b to есептеу болжалды салмақ and a practical error range immediately.
Start from FishBase-based reference presets, then replace them with your own дала or factory coefficients and reuse them later.
Download coefficient sets as JSON, import them again, or create a бөлісуге болатын URL with the current state.
When coefficients are unknown, derive them from a single үлгі or from multiple measured pairs.
The page is prepared for Japanese and English use and for бірлік switching in international workflows.

How to use

  1. Enter the species name, ұзындық, бірлік, and ұзындық түрі, then choose a reference алдын ала баптау or enter coefficients a and b directly.
  2. Adjust the error percentage to update the болжалды салмақ and range on the right in real уақыт.
  3. Once the coefficients are settled, save them with a name and ескертпелер or экспорт them as JSON.
  4. Use the coefficient fitting tab when you do not know the coefficients yet, and the batch tab when you need results 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.

Glossary

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.

Формулалар

  • 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)

ЖҚС

I do not know a and b. What should I do?

Use the coefficient fitting tab. You can solve for a from one measured үлгі, or fit both a and b from multiple ұзындық-салмақ pairs.

Can I есептеу many балық at once?

Иә. The batch tab accepts table entry and CSV-style paste, and the нәтиже can be downloaded as CSV.

Can I switch between cm and inches, or g and фунт?

Иә. енгізу and нәтиже бірліктер can be changed at any уақыт. Internal calculations always use cm and g.

Why can the бағалау be far from the actual салмақ?

Балық of the same species still vary by region, season, maturity, fatness, and measurement әдіс. Use the бағалау as a range, not as a guaranteed exact value.

Where are saved coefficients stored?

Without login support, saved sets live in this браузер's localStorage. Keep a JSON экспорт if you need a portable copy.

Is any data sent to a server?

Жоқ. Calculation, save, and JSON generation all stay inside the браузер.

Маңызды ескертпелер

  • This бағалау is only a нұсқаулық. Region, season, maturity, body condition, and measurement әдіс can change the нәтиже substantially.
  • Always use coefficients with the same ұзындық түрі and бірлік assumption. The internal base is cm and g.
  • Reference presets are not operating values. Use measured data to build your own sets whenever possible.