Search results
Results from the WOW.Com Content Network
The E-agriculture in Action series of publications, by FAO-ITU, that provides guidance on emerging technologies and how it could be used to address some of the challenges in agriculture through documenting case studies. E-agriculture in Action: Big Data for Agriculture [22] E-agriculture in Action: Blockchain for Agriculture [23]
Wearable sensors have a huge potential in generating big data, with a great applicability to biomedicine and ambient assisted living. [109] For this reason, researchers are moving their focus from data collection to the development of intelligent algorithms able to glean valuable information from the collected data, using data mining techniques ...
Wireless sensor networks (WSNs) refer to networks of spatially dispersed and dedicated sensors that monitor and record the physical conditions of the environment and forward the collected data to a central location. WSNs can measure environmental conditions such as temperature, sound, pollution levels, humidity and wind.
The loss of agricultural jobs can be offset by new job opportunities in manufacturing and maintaining the necessary technology for the work. Digital agriculture also enables individual farmers to work in concert, collecting and sharing data using technology. [135] and The hope is that young people want to become digital farmers [136]
The Journal of Agricultural Science is a peer-reviewed scientific journal covering research on agriculture and the use of land resources. It was established in 1905 by Rowland Biffen , Alfred Daniel Hall , Thomas Barlow Wood , and Thomas Hudson Middleton and is published by Cambridge University Press .
The Journal of the Science of Food and Agriculture is a peer-reviewed scientific journal. It was established in 1950 and is published 15 times a year by John Wiley & Sons on behalf of the Society of Chemical Industry. The journal is included in the Index Medicus . [1]
Precision agriculture (PA) is a management strategy that gathers, processes and analyzes temporal, spatial and individual plant and animal data and combines it with other information to support management decisions according to estimated variability for improved resource use efficiency, productivity, quality, profitability and sustainability of ...
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 ...