Continued population growth and land intensification put increasing pressure on agricultural production and point to a need for a ‘step change’ in agriculture to meet the demand. Advances in digital technology—often encapsulated in the term ‘big data’—are increasingly assumed to be the way this challenge will be met. For this to be achieved, it is necessary to understand the ways that farmers and other industry stakeholders perceive big data and how big data might change the industry. It is also necessary to address emerging moral and ethical questions about access, cost, scale and support, which will determine whether farms will be able to be ‘big data enabled’. We conducted a discourse analysis of 26 interviews with stakeholders in the gr...
Farming is undergoing a digital revolution (Bronson and Knezevic, 2016). The advent of plant genetic...
While much has been written on the future state of big data in agriculture in Australia and elsewher...
Machine learning and big data solutions are not yet commonly used in agriculture and livestock farmi...
Continued population growth and land intensification put increasing pressure on agricultural product...
Continued population growth and land intensification put increasing pressure on agricultural product...
Advances in Smart Farming and Big Data applications have the potential to help agricultural industri...
“Big Data” receives almost as much discussion in agriculture as the weather and commodity prices. Bu...
This paper details a qualitative investigation of human factors relating to adoption of digital agri...
What’s the role of Big Data in the farming ecosystem? Farmers need to measure and understand the imp...
Using scarce resources to feed an ever-increasing world population in the climate of increasingly-vo...
But key impediments arise from the distinctive nature of agriculture, writes Steve Sonk
Farming is undergoing a digital revolution (Bronson and Knezevic, 2016). The advent of plant genetic...
This Viewpoint article discusses the roles the Big Data phenomenon may play in key issues related to...
Modern information-based technologies, such as self-driving tractors, GPS, milk robots, automated eg...
Modern information-based technologies, such as self-driving tractors, GPS, milk robots, automated eg...
Farming is undergoing a digital revolution (Bronson and Knezevic, 2016). The advent of plant genetic...
While much has been written on the future state of big data in agriculture in Australia and elsewher...
Machine learning and big data solutions are not yet commonly used in agriculture and livestock farmi...
Continued population growth and land intensification put increasing pressure on agricultural product...
Continued population growth and land intensification put increasing pressure on agricultural product...
Advances in Smart Farming and Big Data applications have the potential to help agricultural industri...
“Big Data” receives almost as much discussion in agriculture as the weather and commodity prices. Bu...
This paper details a qualitative investigation of human factors relating to adoption of digital agri...
What’s the role of Big Data in the farming ecosystem? Farmers need to measure and understand the imp...
Using scarce resources to feed an ever-increasing world population in the climate of increasingly-vo...
But key impediments arise from the distinctive nature of agriculture, writes Steve Sonk
Farming is undergoing a digital revolution (Bronson and Knezevic, 2016). The advent of plant genetic...
This Viewpoint article discusses the roles the Big Data phenomenon may play in key issues related to...
Modern information-based technologies, such as self-driving tractors, GPS, milk robots, automated eg...
Modern information-based technologies, such as self-driving tractors, GPS, milk robots, automated eg...
Farming is undergoing a digital revolution (Bronson and Knezevic, 2016). The advent of plant genetic...
While much has been written on the future state of big data in agriculture in Australia and elsewher...
Machine learning and big data solutions are not yet commonly used in agriculture and livestock farmi...