University of Southern Queensland ePrints (University of Southern Queensland) · 2012 · 240 citations · 33 references
Open access
AgricultureAgricultural EconomicsPrecision AgricultureFarm ManagementLivestock ProductionPrecision Livestock ManagementAgricultural TechnologyLivestock Product QualityLivestock Production EconomicsLivestock Production SystemsPrecision Livestock FarmingEnvironmental Performance IndicatorsEnvironmental Performance VerificationGreenhouse Gas EmissionsLivestock MarketingNew Service DevelopmentPrecision Livestock Welfare MonitoringProduct SegmentationSmart Farming Systems
Precision Livestock Farming (PLF) is potentially one of the most powerful developments amongst a number of interesting new and upcoming technologies that have the potential to revolutionise the livestock farming industry. If properly implemented, PLF or Smart Farming could (1) improve or at least objectively document animal welfare on farms; (2) reduce greenhouse gas (GHG) emission and improve environmental performance of farms; (3) facilitate product segmentation and better marketing of livestock products; (4) reduce illegal trading of livestock products; and (5) improve the economic stability of rural areas. However, there are only a few examples of successful commercialisation of PLF technologies introduced by a small number of commercial companies which are actively involved in the PLF commercialisation process. To ensure that the potential of PLF is taken to the industry, we need to: (1) establish a new service industry; (2) verify, demonstrate and publicise the benefits of PLF; (3) better coordinate the efforts of different industry and academic organisations interested in the development and implementation of PLF technologies on farms; and (4) encourage commercial sector to assist with professionally managed product development.
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C.M. Wathes, H.H. Kristensen, Jean‐Marie Aerts et al. · Computers and Electronics in Agriculture · 2008 · 375 citations · Full text
Agriculture, Agricultural Engineering, Precision Agriculture +10
Non-invasive measurement of stress in dairy cows using infrared thermography
M. Stewart, Jim Webster, G.A. Verkerk et al. · Physiology & Behavior · 2007 · 272 citations
Walk-through weighing of pigs using machine vision and an artificial neural network
Yu Wang, W. Yang, P. Winter et al. · Biosystems Engineering · 2008 · 131 citations