Artificial neural networks simulation to define critical temperature of Fries Holland based on physiological responses
Artificial Neural Networks (ANN) simulation for industrial engineering is used to define critical temperature of Fries Holland (FH) heifer based on physiological responses on models to predict heart rate and respiratory rate, using ambient temperature and humidity inputs. The research was conducted...
Main Authors: | Suherman D, Purwanto BP, Manalu W, Permana IG |
---|---|
Format: | Article |
Language: | English |
Published: |
Pusat Penelitian dan Pengembangan Peternakan
2013-03-01
|
Series: | Jurnal Ilmu Ternak dan Veteriner |
Subjects: | |
Online Access: | http://medpub.litbang.pertanian.go.id/index.php/jitv/article/view/262/262 |
Similar Items
-
Model Estimasi Suhu Kritis Atas pada Sapi Perah Dara Berdasarkan Manajemen Pakan
by: D. Suherman, et al.
Published: (2020-06-01) -
Respon Fisiologis dan Penyusutan Bobot Badan Domba Lokal Jantan terhadap Transportasi dengan Posisi Berbeda dalam Kendaraan
by: Lendrawati Lendrawati, et al.
Published: (2019-10-01) -
Creep-feeding to stimulate metabolic imprinting in nursing beef heifers: impacts on heifer growth, reproductive and physiological variables
by: M.M. Reis, et al.
Published: (2015-01-01) -
Respon Fisiologis Sapi Perah Dara Fries Holland yang Diberi Konsentrat dengan Tingkat Energi Berbeda
by: Dadang Suherman, et al.
Published: (2015-06-01) -
Pengaruh Iklim Mikro terhadap Respons Fisiologis Sapi Peranakan Fries Holland dan Modifikasi Lingkungan untuk Meningkatkan Produktivitasnya (ULASAN)
by: A.Yani, et al.
Published: (2006-04-01)