Application of Mamdani Fuzzy Inference System in Poultry Weight Estimation

E Küçüktopçu, B Cemek, H Simsek - Animals, 2023 - mdpi.com
Simple Summary With the rapid technological advances, the application of artificial
intelligence (AI) has witnessed significant growth in the agricultural industry, specifically in …

Machine learning application in growth and health prediction of broiler chickens

B Milosevic, S Ciric, N Lalic, V Milanovic… - World's Poultry …, 2019 - cambridge.org
Artificial intelligence (AI) already represents a factor for increasing efficiency and productivity
in many sectors, and there is a need for expanding its implementation in animal science …

MAKİNE ÖĞRENMESİNDE REGRESYON ALGORİTMALARININ VETERİNER HEKİMLİĞİ ALANINDA UYGULAMALARI

V Türkmen, D Özen - Veteriner Farmakoloji ve Toksikoloji Derneği …, 2023 - dergipark.org.tr
Hızla artan veriler, özellikle giyilebilir teknolojiler, sensörler ve internet bağlantılı akıllı
ürünler (IoT) gibi yeni veri kaynaklarından akan daha büyük, daha karmaşık veri kümeleri …

Prediction of egg production using artificial neural network

S Ghazanfari, K Nobari, M Tahmoorespur - 2011 - sid.ir
Abstract ARTIFICIAL NEURAL NETWORKS (ANN) have shown to be a powerful tool for
system modeling in a wide range of applications. The focus of this study is on neural network …

[PDF][PDF] Modelling growth of dual-purpose Sasso hens in the tropics using different algorithms

A Yakubu, J Madaki - Journal of Genetics and Molecular Biology, 2017 - researchgate.net
Poultry production is one of the best available sources for the production of high biological
value animal protein in terms of eggs and meat. The performance of laying hens kept in the …

Classification Diagnosis of Broiler Diseases based on Improved Whale Optimization Algorithm

L Yu, R Zhu, Y Guo, C Chen - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Currently, the diagnosis of illnesses in broiler chickens primarily relies on manual
assessment, which is not only inefficient but also necessitates necropsies for confirmation …

Prediction of Lethality by Nonlinear Artificial Neural Network Modeling

M Guldas, F Kurtulmus, O Gurbuz - Journal of Food Process …, 2017 - Wiley Online Library
In this research, the aim was to predict F value (lethality or sterilization value) of canned
peas by using a nonlinear auto‐regressive artificial neural network model with exogenous …

Evaluation of Artificial neural network modeling for predicting performance traits of Arian broiler breeder

K Nobari, K Yousefi, A Takhle… - Animal Sciences Journal, 2022 - asj.areeo.ac.ir
This study was conducted for predicting performance traits of the whole production period of
Arian broiler breeder via its initial performances using artificial neural network (ANN). The …

[引用][C] Effect of roughage quality and period of meal termination on rumen fill.

RA Adebayo - 2015