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Some useful resources for learning about e-agriculture in practice are the World Bank's e-sourcebook ICT in agriculture – connecting smallholder farmers to knowledge, networks and institutions (2011), [2] ICT uses for inclusive value chains (2013), [3] ICT uses for inclusive value chains (2013) [4] and Success stories on information and ...
The history of agriculture has been shaped by technological advances. Agricultural technology dates back thousands of years. Historians have described a number of agricultural revolutions, which identify major shifts in agricultural practice and productivity. These revolutions have been closely connected to technological improvements.
Emerging digital technologies have the potential to be game-changers for traditional agricultural practices. The Food and Agriculture Organization of the United Nations has referred to this change as a revolution: "a 'digital agricultural revolution' will be the newest shift which could help ensure agriculture meets the needs of the global population into the future."
Farmers have manipulated plants and animals through selective breeding for decades of thousands of years in order to create desired traits. In the 20th century, a surge in technology resulted in an increase in agricultural biotechnology through the selection of traits like the increased yield, pest resistance, drought resistance, and herbicide resistance.
Mobile Agriculture (mAgri) supports actors along the agriculture value chain through the use of mobile technology. Mobile technology covers a broad range of devices and the sub-categories include voice, data , network and connectivity technologies. mAgri is a subset of e-agriculture .
Technology has innovated these categories from the food industry: [2] Agricultural technology – or AgTech, it is the use of technology in agriculture, horticulture, and aquaculture with the aim of improving yield, efficiency, and profitability. Agricultural technology can be products, services or applications derived from agriculture that ...
Precision agriculture has led many to believe that industry-related technologies should lead research and education instead of the other way around. In classrooms, conferences, workshops, and field days, educators of precision agriculture have struggled to keep up with the number of questions being asked.
In agriculture, data mining is the use of data science techniques to analyze large volumes of agricultural data. Recent advancements in technology, such as sensors, drones, and satellite imagery, have enabled the collection of large amounts of data on soil health, weather patterns, crop growth, and pest activity. Data is analyzed to improve ...