Fish Length to Weight Балык чарба куралдары
Кыргызча
English 日本語 ລາວ Монгол Oʻzbekcha Тоҷикӣ Кыргызча Қазақша Azərbaycan Հայերեն ქართული العربية Български বাংলা čeština Dansk Deutsch Ελληνικά Español Eesti Suomi Français हिन्दी ગુજરાતી ಕನ್ನಡ मराठी മലയാളം Srpski Slovenčina Slovenščina Kiswahili Hrvatski Magyar Indonesia Italiano 한국어 Lietuvių Latviešu Nederlands Norsk Svenska Polski Português Română Русский Українська Беларуская Shqip اردو தமிழ் తెలుగు Türkçe ภาษาไทย Tiếng Việt 简体中文 繁體中文 עברית ខ្មែរ Melayu မြန်မာ ਪੰਜਾਬੀ සිංහල Tagalog is

Estimate Fish Weight from Length (W = aL^b)

Балыктын узундугу жана a, b коэффициенттери боюнча салмагын баалап, анан натыйжаны, ката диапазонун, сакталган коэффициент топтомдорун жана бөлүшө турган JSONди бир иш агымында сактаңыз.

Барак TL / FL / SL божомолдорун ачык көрсөтөт жана браузерден чыкпай туруп тез баалоолорду, коэффициенттерди ылайыкташтырууну жана жапырт иштетүүнү колдойт.

Length input in cm or inches, салмак output in g, kg, oz, or lb Reference пресеттер, браузер save, and JSON sharing Solve for a from one үлгү or ылайыкташтыруу a and b from multiple үлгүлөр Batch calculation and CSV export for many fish

What this tool covers

Enter species, узундук, узундук type, and коэффициенттер a and b to эсептөө баалооd салмак and a practical ката диапазону immediately.
Start from FishBase-based reference пресеттер, then replace them with your own field or factory коэффициенттер and reuse them later.
Жүктөп алуу коэффициент sets as JSON, import them again, or create a бөлүшө турган URL with the current state.
When коэффициенттер are unknown, чыгаруу them from a single үлгү or from multiple measured pairs.
The page is prepared for Japanese and English use and for unit switching in international workflows.

How to use

  1. Enter the species name, узундук, unit, and узундук type, then choose a reference preset or enter коэффициенттер a and b directly.
  2. Adjust the error percentage to update the баалооd салмак and range on the right in real time.
  3. Once the коэффициенттер are settled, save them with a name and эскертүүлөр or export them as JSON.
  4. Use the коэффициент ылайыкташтырууting tab when you do not know the коэффициенттер yet, and the партия 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.

Терминдер сөздүгү

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.

Formulas

  • 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)

FAQ

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

Use the коэффициент ылайыкташтырууting tab. You can solve for a from one measured үлгү, or ылайыкташтыруу both a and b from multiple узундук-салмак pairs.

Can I эсептөө many fish at once?

Yes. The партия tab accepts table entry and CSV-style paste, and the result can be downloaded as CSV.

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

Yes. Киргизүү and output бирдиктер can be changed at any time. Internal calculations always use cm and g.

Why can the баалоо be far from the actual салмак?

Fish of the same species still vary by region, season, maturity, fatness, and measurement method. Use the баалоо as a range, not as a guaranteed так value.

Where are saved коэффициенттер stored?

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

Is any data sent to a server?

No. Calculation, save, and JSON generation all stay inside the браузер.

Импортant эскертүүлөр

  • This баалоо is only a guide. Region, season, maturity, body condition, and measurement method can change the result substantially.
  • Always use коэффициенттер with the same узундук type and unit assumption. The internal base is cm and g.
  • Reference пресеттер are not operating values. Use measured data to build your own sets whenever possible.