[HTML][HTML] Edge computing: A tractable model for smart agriculture?

MJ O'Grady, D Langton, GMP O'Hare - Artificial Intelligence in Agriculture, 2019 - Elsevier
Establishing food security remains a global challenge; it is thus a specific objective of the
United Nations Sustainable Development Goals for 2030. Successfully delivering productive …

[HTML][HTML] Invited review: Cattle lameness detection with accelerometers

NW O'leary, DT Byrne, AH O'Connor, L Shalloo - Journal of dairy science, 2020 - Elsevier
Locomotion scoring is time consuming and is not commonly completed on farms. Farmers
also underestimate their herds' lameness prevalence, a knowledge gap that impedes …

Machine learning and data analytics for the IoT

E Adi, A Anwar, Z Baig, S Zeadally - Neural computing and applications, 2020 - Springer
Abstract The Internet of Things (IoT) applications have grown in exorbitant numbers,
generating a large amount of data required for intelligent data processing. However, the …

[HTML][HTML] Machine learning based fog computing assisted data-driven approach for early lameness detection in dairy cattle

M Taneja, J Byabazaire, N Jalodia, A Davy… - … and Electronics in …, 2020 - Elsevier
Timely lameness detection is one of the major and costliest health problems in dairy cattle
that farmers and practitioners haven't yet solved adequately. The primary reason behind this …

SmartHerd management: A microservices‐based fog computing–assisted IoT platform towards data‐driven smart dairy farming

M Taneja, N Jalodia, J Byabazaire… - Software: practice …, 2019 - Wiley Online Library
Summary Internet of Things (IoT), fog computing, cloud computing, and data‐driven
techniques together offer a great opportunity for verticals such as dairy industry to increase …

Over 20 years of machine learning applications on dairy farms: A comprehensive mapping study

P Shine, MD Murphy - Sensors, 2021 - mdpi.com
Machine learning applications are becoming more ubiquitous in dairy farming decision
support applications in areas such as feeding, animal husbandry, healthcare, animal …

Contribution of Precision Livestock Farming systems to the improvement of welfare status and productivity of dairy animals

P Simitzis, C Tzanidakis, O Tzamaloukas, E Sossidou - Dairy, 2021 - mdpi.com
Although the effects of human–dairy cattle interaction have been extensively examined, data
concerning small ruminants are scarce. The present review article aims at highlighting the …

Using the XGBoost algorithm to classify neck and leg activity sensor data using on-farm health recordings for locomotor-associated diseases

M Gertz, K Große-Butenuth, W Junge… - … and electronics in …, 2020 - Elsevier
The objective of this paper was to analyse the feasibility of an automated detection system
for locomotor-related diseases under strictly practical conditions. For this purpose, motion …

Connected cows: Utilizing fog and cloud analytics toward data-driven decisions for smart dairy farming

M Taneja, N Jalodia, P Malone… - IEEE Internet of …, 2019 - ieeexplore.ieee.org
The Internet of Things (IoT) is about connecting people, processes, data, and things, and is
changing the way we monitor and interact with things. An active incorporation of information …

Role of artificial intelligence in achieving global food security: a promising technology for future

R Chamara, SMP Senevirathne… - Sri Lanka Journal of …, 2020 - sljfa.sljol.info
Rapid growth of population, diminishing natural resources, climate change, shrinking
agricultural lands and unstable markets are making the global food systems rather insecure …