The application of cameras in precision pig farming: An overview for swine-keeping professionals

E Arulmozhi, A Bhujel, BE Moon, HT Kim - Animals, 2021 - mdpi.com
Simple Summary The preeminent purpose of precision livestock farming (PLF) is to provide
affordable and straightforward solutions to severe problems with certainty. Some data …

Prediction of total soluble solids and pH of strawberry fruits using RGB, HSV and HSL colour spaces and machine learning models

JK Basak, BGK Madhavi, B Paudel, NE Kim, HT Kim - Foods, 2022 - mdpi.com
Determination of internal qualities such as total soluble solids (TSS) and pH is a paramount
concern in strawberry cultivation. Therefore, the main objective of the current study was to …

Farm animals' behaviors and welfare analysis with AI algorithms: A review

O Debauche, M Elmoulat, S Mahmoudi… - Revue d'Intelligence …, 2021 - orbi.uliege.be
Numerous bibliographic reviews related to the use of AI for the behavioral detection of farm
animals exist, but they only focus on a particular type of animal. We believe that some …

Prediction of body composition in growing-finishing pigs using ultrasound based back-fat depth approach and machine learning algorithms

JK Basak, B Paudel, NC Deb, DY Kang… - … and Electronics in …, 2023 - Elsevier
Timely monitoring and precise estimation of body composition parameters, such as fat mass
(FM) and fat-free mass (FFM), are crucial for pig production. Therefore, this study aimed to …

DISubNet: depthwise separable inception subnetwork for pig treatment classification using thermal data

SJ Colaco, JH Kim, A Poulose, S Neethirajan, DS Han - Animals, 2023 - mdpi.com
Simple Summary Thermal imaging is gaining popularity in poultry, swine, and dairy animal
husbandry for detecting disease and distress. In this study, we present a depthwise …

Microclimatic variation in tropical canopies: A glimpse into the processes of community assembly in epiphytic bryophyte communities

T Shen, RT Corlett, F Collart, T Kasprzyk… - Journal of …, 2022 - Wiley Online Library
Epiphytic communities offer an original framework to disentangle the contributions of
environmental filters, biotic interactions and dispersal limitations to community structure at …

Applicability of statistical and machine learning–based regression algorithms in modeling of carbon dioxide emission in experimental pig barns

JK Basak, NE Kim, SA Shahriar, B Paudel… - Air Quality, Atmosphere …, 2022 - Springer
Pig farming is one of the major sources of greenhouse gas (GHG) emissions in the
agricultural sector; nevertheless, few studies have been undertaken to directly measure or …

Evolution and Neural Network Prediction of CO2 Emissions in Weaned Piglet Farms

MR Rodriguez, R Besteiro, JA Ortega, MD Fernandez… - Sensors, 2022 - mdpi.com
This paper aims to study the evolution of CO2 concentrations and emissions on a
conventional farm with weaned piglets between 6.9 and 17.0 kg live weight based on …

Multivariate time-series deep learning for joint prediction of temperature and relative humidity in a closed space

FE Gunawan, AS Budiman, B Pardamean… - Procedia Computer …, 2023 - Elsevier
An accurate predictive model of temperature and humidity plays a vital role in many
industrial processes that utilize a closed space such as in agriculture and building …

Emission of CO2 in a livestock barn based on diurnal activities and various growing stages of pigs

NC Deb, JK Basak, B Paudel, NE Kim, BE Moon… - Air Quality, Atmosphere …, 2023 - Springer
The carbon dioxide (CO2) emissions from pig barns are increasing persistently as a result of
increasing pig farming due to the growing demand of pork, which is a great concern for …