Ƙungiyar DeepLoop · 2026-09-14
Curve na Layer: Kololuwa Ba Lambar Da Ta Ke Samun Kuɗi Ba Ce
Kusan kowane garken layer ya hawa zuwa kusa da kololuwa iri ɗaya - Lohmann ya sanya LSL-Lite akan 95-97% da Brown-Classic akan 94-96%, duk biyu suna kaiwa 50% kwai a kwanaki 140-145. Kololuwa sashi ne mai sauki. Abin da ke raba garken biyu shine komai wanda ke faruwa bayan hakan.

Daidaito shine lambar da ta ke samun kuɗi
Bayan kololuwa curve ba ta tafi wata hanyar ba sai ƙasa. Daidaito shine yadda ake sauka a hankali. Karanta shi kai tsaye daga Tebur 18 na Lohmann: LSL-Lite yana riƙe da hen-day lay na 90%+ na makonni 38; Brown-Classic na makonni 29. Kololuwa iri ɗaya, makonni tara na ƙarin kusa-da-kololuwa kwai - suna zaune a cikin sashin curve wanda babu wanda ya saita a matsayin manufa. Ba shi ne ƙaramin bayani akan kololuwa ba; shine lambar da ke yanke shawarar ko garken zai samu kuɗi.
Karin kwai ba karin kwayar kwai ba ne
A tsawon zagaye zuwa makonni 95 LSL ta liar da kwai 445 vs Brown 430 - duk da haka kwai na Brown sun fi nauyi (matsakaicin gram 65.2 vs 61.9), don haka Brown ta fi gabaɗaya kwayar kwai, kilo 28.02 vs 27.57 a kowace kaza da aka kwashe. Yayin da adadin kwai ke faduwa, nauyin kwai yana ci gaba da hawa. Biyun suna motsa cikin sassa daban-daban, don haka kwayar kwai ta tsaya da kyau da daɗe bayan lambar kwai ta fara faduwa - kuma ba za ka iya karantawa garken daga adadin kwai kacal ba.

Tashi zuwa kololuwa da daidaito dangane da nau'in - LSL-Lite vs Brown-Classic hen-day lay riƙe sama da 90%, an sake zana daga Lohmann.
Faduwar da ka ke gani ta tsufa da kwanaki
Wata ƙungiyar Australiya ta ɗauki curve da muhimmanci a matsayin abin da za a iya hasashen: gonakin free-range na kasuwanci huɗu, garken 106, kwanakin garken 35,346, hasashe akan kwayar lay ta Lohmann Brown. Random Forest da aka horar da akan tarihin gonar guda ɗaya ya hasasa adadin kwai akan matsakaicin AUC na 0.86 da RMSE na 2.8 - kuma model da aka horar akan wasu gonaki uku kacal ya hasasa gonar da aka nufa kusan daidai (AUC 0.89). Curve na da daidaito isasshe don motsa tsakanin gonaki. Amma haɗa duk ba ya taimakawa kullum: model haɗe ya bayar da mafi kyau kryubo na regression (RMSE 2.55) da mafi rauni detection na faduwa (AUC 0.82). Karin bayani, ba automatically kariyar fasaha ba.

Daga binciken hasashe - kwayar samarwa tana da daidaito isasshe don motsa tsakanin gonaki, amma faduwa tana nuna a cikin matsakaicin kwanaki bayan ta fara.
Wane tsuntsaye suke kan belt har yanzu
Kowane lamba a nan matsakaicin garken ne da aka karanta sau ɗaya a kullum. Matsakaicin yana boye tambayar da ke yanke shawarar daidaito: ba abin da garken ke yi ba, amma wane tsuntsayen mutum ɗaya suke kwai har yanzu kuma waɗanne suka daina. Curve wanda ya kama da saukewa mai laushi na iya zama ƙaramin adadin kajen da ke kwai da kyau - kuma matsakaicin ba zai faɗa maka wane ba.
Inda wannan ke heading zuwa
DeepLoop tana aiki akan layer na wannan curve wanda babu wanda ke zana - ba matsakaicin garken sau ɗaya a kullum ba, amma wane tsuntsaye suke kan belt har yanzu. Daidaito labari ne na kowace kaza, kuma karantawa shi da wuri shine bambanci tsakanin gudanar da saukewa da mamakewa da shi.