Uzunluktan Balık Ağırlığı Tahmini (W = aL^b)
Balık uzunluğu ile a ve b katsayılarından ağırlığı tahmin edin; ardından sonucu, hata aralığını, kayıtlı katsayı kümelerini ve paylaşılabilir JSON'u tek iş akışında saklayın.
Sayfa TL / FL / SL varsayımlarını açıkça gösterir ve tarayıcıdan çıkmadan hızlı tahmin, katsayı uydurma ve toplu işlem desteği sunar.
What this tool covers
Nasıl kullanılır
- Enter the species name, length, unit, and length type, then choose a reference preset or enter coefficients a and b directly.
- Adjust the error percentage to update the estimated weight and range on the right in real time.
- Once the coefficients are settled, save them with a name and notes or export them as JSON.
- 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
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.
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.
Formulas
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)
SSS
I do not know a and b. What should I do?
Use the coefficient fitting tab. You can solve for a from one measured sample, or fit both a and b from multiple length-weight pairs.
Can I calculate many fish at once?
Yes. The batch 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. Girdi and output units can be changed at any time. Internal calculations always use cm and g.
Why can the estimate be far from the actual weight?
Fish of the same species still vary by region, season, maturity, fatness, and measurement method. Use the estimate as a range, not as a guaranteed exact value.
Where are saved coefficients stored?
Without login support, saved sets live in this tarayıcı's localStorage. Keep a JSON export if you need a portable copy.
Is any data sent to a sunucu?
No. Calculation, save, and JSON generation all stay inside the tarayıcı.
Önemli notlar
- Bu tahmin yalnızca bir rehberdir. Bölge, mevsim, olgunluk, vücut durumu ve ölçüm yöntemi sonucu önemli ölçüde değiştirebilir.
- Katsayıları her zaman aynı uzunluk türü ve birim varsayımıyla kullanın. Dahili temel cm ve g'dir.
- Referans hazır ayarlar işletme değeri değildir. Mümkün olduğunda kendi kümelerinizi ölçülmüş verilerle oluşturun.