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Digital Twins in Livestock Farming [PDF]
Animals, 2021 Digital twin technology is already improving efficiencies and reducing costs across multiple industries and sectors. As the earliest adopters, space technology and manufacturing sectors have made the most sophisticated gains with automobile and natural resource extraction industries following close behind with recent investments in digital twin ...
Suresh Neethirajan +2 more
exaly +6 more sources
IoT Sensing Platform as a Driver for Digital Farming in Rural Africa [PDF]
Sensors, 2020 Small-scale farming can benefit from the usage of information and communication technology (ICT) to improve crop and soil management and increase yield.
Antonio Oliveira-Jr, , Pedro MADUREIRA
exaly +5 more sources
Sensing and Bio-Sensing Research, 2021 As the global human population increases, livestock agriculture must adapt to provide more livestock products and with improved efficiency while also addressing concerns about animal welfare, environmental sustainability, and public health. The purpose of this paper is to critically review the current state of the art in digitalizing animal agriculture
Neethirajan, Suresh, Kemp, Bas
doaj +5 more sources
DIGITAL FARMING – DIGITAL MANAGEMENT [PDF]
Annals of the Polish Association of Agricultural and Agribusiness Economists, 2018 Digitalization of farm machines and production processes in agriculture is progressing very dynamically. Therefore, farm processes management must use the available data, which allow making decisions in an optimal way, using current as well as historical data. The paper presents the latest trends related to the digitization of processes in agriculture.
Edmund Lorencowicz
openaire +3 more sources
Digital Phenotyping in Livestock Farming [PDF]
Animals, 2021 Currently, large volumes of data are being collected on farms using multimodal sensor technol-ogies. These sensors measure the activity, housing conditions, feed intake, and health of farm animals. With traditional methods, the data from farm animals and their environment can be collected intermittently.
Neethirajan, Suresh, Kemp, Bas
openaire +3 more sources
Building a Digital Wind Farm [PDF]
Archives of Computational Methods in Engineering, 2017 The purpose of this paper is to provide a high level, holistic overview of the work being undertaken in the wind energy industry. It summarises the main techniques used to simulate both aerodynamic and structural issues associated with wind turbines and farms.
Sam Hewitt +2 more
openaire +2 more sources
Consideration of resilience for digital farming systems
CoRR, 2021 Latest and current innovations of agricultural tech industry are increasingly driven by digital technologies. These digital farming solutions provide attractive advantages for farmers. The trend is going to devices and sensors, which send the acquired data directly to the cloud.
Sebastian Bökle +4 more
openaire +2 more sources
A scalable digital twin for vertical farming
Journal of Ambient Intelligence and Humanized Computing, 2022 Digital twins transform agriculture with three-dimensional replicas of governable physical objects and intelligent collaboration for a sustainable bioeconomy. However, their success depends on (1) scaling up resiliency in industry-ready solutions, (2) evaluating performance in near real-time monitoring of the agri-food infrastructure, and (3 ...
José Monteiro 0002 +4 more
openaire +2 more sources
Agricultural Research & Technology: Open Access Journal, 2020 Close monitoring of the most significant production processes is very important for any kind of production optimization. When talking about agriculture, gathering as much information as possible on soil condition and microclimatic conditions, which include insect activity, is essential for correct decision making in farming.
openaire +1 more source
Digital precision farming technologies
IOP Conference Series: Earth and Environmental Science, 2022 Abstract A systematic approach to the use of digital technologies in precision farming is proposed. The scientifically grounded transition to digitalization of production processes in crop production includes two stages. The first is the formation of comprehensive data on terrestrial and space factors in the production of agroecosystems.
N V Abramov +4 more
openaire +1 more source