A systematic literature review on the use of machine learning in precision livestock farming
This article presents a systematic literature review of recent works on the use of machine
learning (ML) in precision livestock farming (PLF), focusing on two areas of interest: grazing …
learning (ML) in precision livestock farming (PLF), focusing on two areas of interest: grazing …
Intelligent perception for cattle monitoring: A review for cattle identification, body condition score evaluation, and weight estimation
There has been an increasing demand for animal protein due to several factors such as
global population growth, rising incomes, etc. However, farming productivity is stagnating …
global population growth, rising incomes, etc. However, farming productivity is stagnating …
Detecting mammals in UAV images: Best practices to address a substantially imbalanced dataset with deep learning
Abstract Knowledge over the number of animals in large wildlife reserves is a vital necessity
for park rangers in their efforts to protect endangered species. Manual animal censuses are …
for park rangers in their efforts to protect endangered species. Manual animal censuses are …
[HTML][HTML] Automated cattle counting using Mask R-CNN in quadcopter vision system
The accurate and reliable counting of animals in quadcopter acquired imagery is one of the
most promising but challenging tasks in intelligent livestock management in the future. In this …
most promising but challenging tasks in intelligent livestock management in the future. In this …
Practices and applications of convolutional neural network-based computer vision systems in animal farming: A review
Convolutional neural network (CNN)-based computer vision systems have been
increasingly applied in animal farming to improve animal management, but current …
increasingly applied in animal farming to improve animal management, but current …
Animal welfare implications of digital tools for monitoring and management of cattle and sheep on pasture
A Herlin, E Brunberg, J Hultgren, N Högberg… - Animals, 2021 - mdpi.com
Simple Summary Monitoring the welfare of cattle and sheep in large pastures can be time-
consuming, especially if the animals are scattered over large areas in semi-natural pastures …
consuming, especially if the animals are scattered over large areas in semi-natural pastures …
A review of deep learning algorithms for computer vision systems in livestock
In livestock operations, systematically monitoring animal body weight, biometric body
measurements, animal behavior, feed bunk, and other difficult-to-measure phenotypes is …
measurements, animal behavior, feed bunk, and other difficult-to-measure phenotypes is …
Cattle segmentation and contour extraction based on Mask R-CNN for precision livestock farming
Y Qiao, M Truman, S Sukkarieh - Computers and Electronics in Agriculture, 2019 - Elsevier
In precision livestock farming, computer vision based approaches have been widely used to
obtain individual cattle health and welfare information such as body condition score, live …
obtain individual cattle health and welfare information such as body condition score, live …
A systematic literature review on deep learning applications for precision cattle farming
In animal agriculture, deep learning-based approaches have been widely implemented as a
decision support tool for precision farming. Several deep learning models have been …
decision support tool for precision farming. Several deep learning models have been …
Image analysis for individual identification and feeding behaviour monitoring of dairy cows based on Convolutional Neural Networks (CNN)
Highlights•Top head image is used as Region of Interest for dairy cow individual
identification.•Dairy cows are classified in the feeder zone as standing or feeding.•Cow is …
identification.•Dairy cows are classified in the feeder zone as standing or feeding.•Cow is …