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While fewer than 30% of farmers reportedly use emerging technologies like artificial intelligence, experts believe AI could help producers and farmers make food quicker and more efficiently.
In agriculture, AI has been proposed as a way for farmers to identify areas that need irrigation, fertilization, or pesticide treatments to increase yields, thereby improving efficiency. [47] AI has been used to attempt to classify livestock pig call emotions, [20] automate greenhouses, [48] detect diseases and pests, [49] and optimize ...
AGRIS: Agricultural database [24] Agriculture: 12,021,578 Covers agriculture, forestry, animal husbandry, aquatic sciences and fisheries, human nutrition, extension literature from over 100 countries. Indexes unpublished scientific and technical reports, theses, conference papers, government publications. Free FAO: Arachne [25] Archaeology, Art ...
AGRIS (International System for Agricultural Science and Technology) is a global public domain database with more than 12 million structured bibliographical records on agricultural science and technology. It became operational in 1975 and the database was maintained by Coherence in Information for Agricultural Research for Development, and its ...
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]
Precision agriculture often employs technologies to automate agricultural operations, improving their diagnosis, decision-making or performing. [4] [5] The goal of precision agriculture research is to define a decision support system for whole farm management with the goal of optimizing returns on inputs while preserving resources. [6] [7]
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 ]
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.