Deep learning models outperform generalized machine learning models in predicting winter wheat yield based on multispectral data from drones

Z Li, Z Chen, Q Cheng, S Fei, X Zhou - Drones, 2023 - mdpi.com
Timely and accurate monitoring of winter wheat yields is beneficial for the macro-guidance
of agricultural production and for making precise management decisions throughout the …

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 …

Cattle Weight Estimation Using Linear Regression and Random Forest Regressor

A Setiawan, E Utami, D Ariatmanto - Jurnal RESTI (Rekayasa …, 2024 - jurnal.iaii.or.id
The global cattle farming industry has benefits as a food source, livelihood, economic
contribution, land environmental restoration, and energy source. The importance of …

[HTML][HTML] Modelling behavior of Crested gecko (Correlophus ciliatus) using classification algorithms

J Pacoń, B Kosińska-Selbi, J Wełeszczuk… - Applied Animal …, 2024 - Elsevier
Animal behavior plays a crucial role in evolution of many species. Many studies focused on
animal behavior enhance the ability to collect large and detailed data. However, this kind of …

Predicting the Weight of Livestock Using Machine Learning

A Setiawan, E Utami - 2024 IEEE International Conference on …, 2024 - ieeexplore.ieee.org
In the management of the cattle farming industry, the prediction of livestock weight has an
important role involving multidimensional aspects such as industry, health, and economy, as …

Süt Sığırlarının Buzağılama Zamanının Tahmininde Makine Öğrenme Yöntemlerinin Kullanımı Çalışmaları Üzerine Bir Değerlendirme

O Sönmez, K Zengin - Journal of New Results in Engineering and …, 2023 - dergipark.org.tr
Süt sığırlarının buzağılama zamanlarının tahmin edilmesindeki öneme odaklanan bu
çalışmada, makine öğrenme yöntemlerinin kullanımını değerlendirilmektedir. Buzağılama …

Agent-oriented method of clustering the wholesale distributor data

V Donets, V Strilets, D Shevchenko… - Bulletin of VN Karazin …, 2022 - periodicals.karazin.ua
The purpose of the research is to improve the accuracy of data clustering and to determine
the target number of data clusters generated by dynamic economic systems, using an agent …

[PDF][PDF] Możliwości wykorzystywania sztucznej inteligencji (AI) w kontroli stanu zdrowotnego bydła i świń w Polsce oraz regionie

A Jarynowski - researchgate.net
Gospodarstwa z Polski i regionu mają duży potencjał w obecnych czasach zmian wdrażając
systemy oparte na sztucznej inteligencji do zarządzania żywym inwentarzem, szczególnie w …

[PDF][PDF] Characterization of Sensor and Non-sensor Cow, Herd Management, and Environmental Data and Use of Machine Learning Algorithms for Prediction of …

G Granados - 2022 - ecommons.cornell.edu
The overarching objective of the research presented in this thesis was to characterize
associations between cow, herd, and environmental data with insemination outcome, and …

[引用][C] CATTLE BODY WEIGHT PREDICTION USING REGRESSION MACHINE LEARNING

A Setiawan, E Utami, D Ariatmanto - Jurnal Teknik Informatika (Jutif), 2024