[HTML][HTML] Data-driven decision making in pig farming: A review of the literature
T van Klompenburg, A Kassahun - Livestock Science, 2022 - Elsevier
Applications of data analytics, and recently machine learning, in pig farming have been
investigated in literature and the results indicate great potential for data-driven decision …
investigated in literature and the results indicate great potential for data-driven decision …
Applying machine learning to extract new knowledge in precision agriculture applications
S Dimitriadis, C Goumopoulos - 2008 panhellenic conference …, 2008 - ieeexplore.ieee.org
We are considering a facet of precision agriculture that concentrates on plant-driven crop
management. By monitoring soil, crop and climate in a field and providing a decision …
management. By monitoring soil, crop and climate in a field and providing a decision …
Optimizing an irrigation treatment using an evolutionary algorithm and a knowledge discovery framework based on Deep models
E Pazouki - Applied Soft Computing, 2023 - Elsevier
Nowadays, learning models have good accuracy and learn complex patterns which are
hidden in the data. Occasionally, patterns which are discovered using these models cannot …
hidden in the data. Occasionally, patterns which are discovered using these models cannot …
Predicting apple bruising using machine learning
Many models have been used to describe the influence of internal or external factors on
apple bruising. Few of these have addressed the application of derived relationships to the …
apple bruising. Few of these have addressed the application of derived relationships to the …
[КНИГА][B] Encyclopedia of Digital Agricultural Technologies
Q Zhang - 2023 - Springer
Sound wave is the result of mechanical vibration of an object in a material medium, so the
sound is a mechanical wave (Rossing and Fletcher 2004), and it needs a material medium …
sound is a mechanical wave (Rossing and Fletcher 2004), and it needs a material medium …
A GA-Based wrapper feature selection for animal breeding data mining
Feature selection methods are used to tackle the problem of the curse of the dimensionality
of data to be mined. This applies also to the area of animal breeding, in which datasets …
of data to be mined. This applies also to the area of animal breeding, in which datasets …
Knowledge Discovery from Agricultural Data
E Pazouki - Encyclopedia of Smart Agriculture Technologies, 2023 - Springer
Big Data: Big data refers to data sets that are too large or complex to be dealt with by
traditional data-processing application software. Classification: Classification is a type of …
traditional data-processing application software. Classification: Classification is a type of …
Comparison of data exploration methods and the BLUP method in application to the animals breeding
P Skrobanek, H Maciejewski, M Dobrowolski… - … Computing Theories and …, 2012 - Springer
The evaluation of a breeding value is one of the most important elements of a work of a
breeder. One of the frequently used method of evaluation is the BLUP Animal Model method …
breeder. One of the frequently used method of evaluation is the BLUP Animal Model method …
Enhancing Recognition of a Weak Class–Comparative Study Based on Biological Population Data Mining
This paper presents an overview of several methods that can be used to improve recognition
of a weak class in binary classification problem. We illustrated this problem in the context of …
of a weak class in binary classification problem. We illustrated this problem in the context of …
Predicting apple bruising relationships using machine learning
G Holmes, SJ Cunningham, BT Dela Rue… - 1998 - researchcommons.waikato.ac.nz
Many models have been used to describe the influence of internal or external factors on
apple bruising. Few of these have addressed the application of derived relationships to the …
apple bruising. Few of these have addressed the application of derived relationships to the …