Оценка Рыба Вага from Длина (W = aL^b)
Оценка вага from рыба длина and coefficients a and b, then сохранять the результат, диапазон ошибки, сохраненные наборы коэффициентов, and JSON для обмена in one процесс.
The страница makes TL / FL / SL assumptions explicit and supports quick оценкаs, coefficient fitting, and партия processing without leaving the браўзер.
What this інструмент covers
Как пользоваться
- Ввагати the вид name, длина, единица, and тип длины, then выбрать a справочный пресет or ввагати coefficients a and b directly.
- Настроить the процент ошибкиage to обновить the оценкаd вага and диапазон on the right in real час.
- Once the coefficients are settled, захаваць them with a name and примечания or экспортировать them as JSON.
- Выкарыстоўвайце the coefficient fitting tab when you do not know the coefficients yet, and the партия tab when you need результатs for many measurements.
Examples
Estimate from a reference preset
Species: Japanese jack mackerel, length: 35 cm, length type: TL, a=0.01096, b=2.97, error: ±20%
Estimated weight: about 421 g, range: about 337 g to 505 g
Solve for a from one sample
Length: 35 cm, observed weight: 432 g, assumed b: 3.0
a = 0.01008, formula: W(g) = 0.01008 × L(cm)^3.0
Batch calculation
Run 25 cm, 30 cm, and 35 cm with the same coefficient set
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.
Словарь
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.
Формулаs
Estimated weight W(g) = a × L(cm)^bLower bound = W × (1 - error% / 100)Upper bound = W × (1 + error% / 100)Single-sample solve: a = W / L^bMulti-sample fit: log(W) = log(a) + b log(L)
Вопросы и ответы
Я не ведаю a і b. Што мне рабіць?
Выкарыстоўвайце the coefficient fitting tab. You can solve for a from one measured пример, or fit both a and b from несколько length-weight pairs.
Могу ли я вычислить many рыба at once?
Yes. The партия tab accepts table entry and CSV-style paste, and the результат can be downзагрузіцьed as CSV.
Могу ли я переключить between cm and inches, or g and lb?
Yes. Увод and вывод единицы can be changed at any час. Internal calculations always выкарыстоўвайце cm and g.
Why can the оценка be far from the фактический вага?
Рыба of the same вид still vary by region, season, зрелость, fatness, and measurement метод. Выкарыстоўвайце the оценка as a диапазон, not as a guaranteed exact значение.
Where are сохранено coefficients stored?
Without login support, сохранено sets live in this браўзер's localStorage. Сохранять a JSON экспортировать if you need a portable скапіяваць.
Какие-либо данные отправляются на сервер?
No. Вычисление, захаваць, and JSON generation all stay inside the браўзер.
Важныя примечания
- This оценка is only a ориентир. Region, season, зрелость, упитанность, and measurement метод can изменить the результат substantially.
- Always выкарыстоўвайце coefficients with the same тип длины and единица assumption. The internal base is cm and g.
- Справочные пресеты are not operating значения. Выкарыстоўвайце measured data to build your own sets whenever possible.