Current progress and future prospects of agriculture technology: Gateway to sustainable agriculture
The agricultural industry is getting more data-centric and requires precise, more advanced
data and technologies than before, despite being familiar with agricultural processes. The …
data and technologies than before, despite being familiar with agricultural processes. The …
[HTML][HTML] Precision Livestock Farming technologies in pasture-based livestock systems
Abstract Precision Livestock Farming (PLF) encompasses the combined application of
single technologies or multiple tools in integrated systems for real-time and individual …
single technologies or multiple tools in integrated systems for real-time and individual …
Internet-of-Things (IoT)-based smart agriculture: Toward making the fields talk
Despite the perception people may have regarding the agricultural process, the reality is that
today's agriculture industry is data-centered, precise, and smarter than ever. The rapid …
today's agriculture industry is data-centered, precise, and smarter than ever. The rapid …
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 …
Predicting livestock behaviour using accelerometers: A systematic review of processing techniques for ruminant behaviour prediction from raw accelerometer data
Precision Technologies are emerging in the context of livestock farming to improve
management practices and the health and welfare of livestock through monitoring individual …
management practices and the health and welfare of livestock through monitoring individual …
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 …
[HTML][HTML] Cloud and distributed architectures for data management in agriculture 4.0: Review and future trends
Abstract The Agriculture 4.0, also called Smart Agriculture or Smart Farming, is at the origin
of the production of a huge amount of data that must be collected, stored, and processed in a …
of the production of a huge amount of data that must be collected, stored, and processed in a …
C3D-ConvLSTM based cow behaviour classification using video data for precision livestock farming
Cow behaviour provides valuable information about animal welfare, activities and livestock
production. Therefore, monitoring of behaviour is gaining importance in the improvement of …
production. Therefore, monitoring of behaviour is gaining importance in the improvement of …
Deep transfer learning in sheep activity recognition using accelerometer data
Abstract Machine learning and sensor devices lined up with agriculture for the development
of systems can efficiently provide real-time knowledge on animal behavior without the need …
of systems can efficiently provide real-time knowledge on animal behavior without the need …
Classification of multiple cattle behavior patterns using a recurrent neural network with long short-term memory and inertial measurement units
Y Peng, N Kondo, T Fujiura, T Suzuki… - … and electronics in …, 2019 - Elsevier
In this study, we aimed to develop a recurrent neural network (RNN) with a long short-time
memory (LSTM) model to monitor and classify cattle behavior patterns using inertial …
memory (LSTM) model to monitor and classify cattle behavior patterns using inertial …