Artificial Intelligence Technology in the Agricultural Sector: A Systematic Literature Review

Due to the increasing global population and the growing demand for food worldwide as well as changes in weather conditions and the availability of water, artificial intelligence (AI) such as expert systems, natural language processing, speech recognition, and machine vision have changed not only the...

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Veröffentlicht in:	IEEE access 2023, Vol.11, p.171-202
Hauptverfasser:	Elbasi, Ersin, Mostafa, Nour, AlArnaout, Zakwan, Zreikat, Aymen I., Cina, Elda, Varghese, Greeshma, Shdefat, Ahmed, Topcu, Ahmet E., Abdelbaki, Wiem, Mathew, Shinu, Zaki, Chamseddine
Format:	Artikel
Sprache:	eng
Schlagworte:	Agriculture Artificial intelligence Artificial intelligence applications Computer vision Crops Data collection Deep learning Digital agriculture Expert systems Farmers Farming Farms Image processing Intelligent sensors Internet of Things Literature reviews Machine learning Machine vision Management systems Monitoring Natural language processing Profitability Robotics Seeds Sensors smart farming Smart sensors Soil sampling Speech recognition System effectiveness Weather
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