Baliq uzunligidan vazn Baliqchilik asboblari
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Uzunlikdan baliq vaznini baholang (W = aL^b)

Baliq uzunligi va a hamda b koeffitsientlaridan vaznni baholang, so'ng natija, xato diapazoni, saqlangan koeffitsientlar to'plami va ulashiladigan JSON ni bitta oqimda ushlang.

Sahifa TL / FL / SL farazlarini aniq qiladi va brauzerdan chiqmasdan tez baholash, koeffitsientlarni moslash hamda ommaviy ishlov berishni qo'llab-quvvatlaydi.

Uzunlik cm yoki inchda, vazn g, kg, oz yoki lb da Ma'lumotnoma presetlari, brauzer saqlashi va JSON ulashishi Bir namunadan a ni topish yoki ko'p namunadan a va b ni moslash Ko'p baliq uchun ommaviy hisoblash va CSV eksporti

Bu asbob nimalarni qamrab oladi

Tur, uzunlik, uzunlik turi va a hamda b koeffitsientlarini kiritsangiz, baholangan vazn va amaliy xato diapazonini darhol hisoblaydi.
FishBase asosidagi ma'lumotnoma presetlaridan boshlang, so'ng ularni o'zingizning dala yoki zavod koeffitsientlaringiz bilan almashtirib, keyin qayta ishlating.
Koeffitsientlar to'plamini JSON sifatida yuklab oling, qayta import qiling yoki joriy holat bilan ulashiladigan URL yarating.
Koeffitsientlar noma'lum bo'lsa, ularni bitta namuna yoki bir nechta o'lchangan juftlikdan chiqaring.
Sahifa yapon va ingliz ish oqimlariga hamda xalqaro jarayonlarda birlik almashtirishga tayyor.

Qanday ishlatiladi

  1. Tur nomi, uzunlik, birlik va uzunlik turini kiriting, so'ng ma'lumotnoma presetini tanlang yoki a va b koeffitsientlarini to'g'ridan-to'g'ri kiriting.
  2. Baholangan vazn va diapazon o'ng tomonda real vaqtda yangilanishi uchun xato foizini sozlang.
  3. Koeffitsientlar aniqlangach, ularni nom va izohlar bilan saqlang yoki JSON sifatida eksport qiling.
  4. Koeffitsientlar hali noma'lum bo'lsa, moslash tabidan foydalaning; ko'plab o'lchovlar kerak bo'lsa, ommaviy tabdan foydalaning.

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.

Izohli lug'at

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.

Formulalar

  • 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)

Tez-tez so'raladigan savollar

a va b ni bilmayman. Nima qilaman?

Koeffitsientlarni moslash tabidan foydalaning. Bir o'lchangan namunadan a ni topishingiz yoki bir nechta uzunlik-vazn juftligidan a va b ni moslashingiz mumkin.

Bir vaqtning o'zida ko'p baliqni hisoblay olamanmi?

Ha. Ommaviy tab jadval kiritmasi va CSV uslubidagi joylashtirishni qabul qiladi, natijani esa CSV sifatida yuklab olish mumkin.

cm va inch orasida, yoki g va lb orasida almasha olamanmi?

Ha. Kiritma va chiqish birliklarini istalgan vaqtda o'zgartirish mumkin. Ichki hisoblashlar doimo cm va g dan foydalanadi.

Nega baho haqiqiy vazndan ancha farq qilishi mumkin?

Bir xil turdagi baliqlar ham mintaqa, mavsum, yetuklik, semizlik va o'lchash usuliga qarab farq qiladi. Bahoni kafolatlangan aniq qiymat emas, balki diapazon sifatida ishlating.

Saqlangan koeffitsientlar qayerda saqlanadi?

Kirishsiz rejimda saqlangan to'plamlar ushbu brauzerning localStorage xotirasida qoladi. Ko'chma nusxa kerak bo'lsa, JSON eksportini saqlab qo'ying.

Ma'lumotlar serverga yuboriladimi?

Yo'q. Hisoblash, saqlash va JSON yaratishning barchasi brauzer ichida qoladi.

Muhim eslatmalar

  • Bu baho faqat yo'riqnoma. Mintaqa, mavsum, yetuklik, tana holati va o'lchash usuli natijani sezilarli o'zgartirishi mumkin.
  • Har doim uzunlik turi va birlik farazi bir xil bo'lgan koeffitsientlardan foydalaning. Ichki asos cm va g dir.
  • Ma'lumotnoma presetlari amaliy qiymat emas. Imkon bo'lsa, o'zingizning to'plamingizni o'lchangan ma'lumotdan tuzing.