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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]
An agricultural robot is a robot deployed for agricultural purposes. The main area of application of robots in agriculture today is at the harvesting stage. Emerging applications of robots or drones in agriculture include weed control , [ 1 ] [ 2 ] [ 3 ] cloud seeding , [ 4 ] planting seeds, harvesting, environmental monitoring and soil analysis.
Digital agriculture, sometimes known as smart farming or e-agriculture, [1] are tools that digitally collect, store, analyze, and share electronic data and/or information in agriculture. The Food and Agriculture Organization of the United Nations has described the digitalization process of agriculture as the digital agricultural revolution . [ 2 ]
Precision agriculture was a major shift in technology that occurred in the 1980s. The result was tractors that farmers drove with the aid of GPS devices and on-board computers. Precision agriculture focuses on maximizing returns while using minimum resources. With the aid of GPS devices and computers, farmers could use tractors more efficiently.
"However, a fully customized professional home automation system can cost anywhere between $2,000 and $150,000, depending on your needs.” Typically, homeowners who invest in these devices are ...
Before large farms became the norm, most farmers had an intimate knowledge of their livestock. Moreover, a farmer could typically trace an animal's pedigree and retain other important characteristics. Each animal was approached as an individual. Since then farms have multiplied in scale, with highly automated processes for feeding and other tasks.
The Food and Agriculture Organization of the United Nations (FAO) defines agricultural automation as the use of machinery and equipment in agricultural operations to improve their diagnosis, decision-making, or performance, reducing the drudgery of agricultural work and improving the timeliness, and potentially the precision, of agricultural ...
With digital automation technologies, it also becomes possible to automate diagnosis and decision-making of agricultural operations. [86] For example, autonomous crop robots can harvest and seed crops, while drones can gather information to help automate input application. [87] Precision agriculture often employs such automation technologies [87]