Glossary of Key Terms
Executive Primer
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Artificial Intelligence (AI): In ag, AI includes the theory and development of computer systems that perform tasks that have traditionally required human intelligence, including machine learning, data visualization, natural language processing and interpretation, intelligent decision support systems, autonomous systems, and novel applications of these techniques to agriculture and food production.
Augmented Reality (AR): Virtual objects and content overlayed in the real world via wearable smart glasses or mobile devices such as smartphones and tablets.
Autonomous vehicles: Driverless vehicles used in farms that are automatically operated by an intelligent system of sensors, lasers, GPS, and machine learning, which guides it to perform a function without human intervention.
Blockchain: Blockchain can record every step in a product’s value chain, ranging from a product’s creation to its termination. Blockchain technology or blockchain in agriculture can track all types of information about plants, such as seed quality, crop growth, and even the travel of a plant after it leaves the farm.
Digital Twin: A virtual environment that replicates a physical system’s processes.
Enterprise resource planning (ERP): A type of software that organizations use to manage day-to-day business activities such as accounting, procurement, finance, inventory, and others.
Interoperability: The ability of computer systems or software to exchange and make use of information and data.
LoRA: A category of non-cellular LPWAN wireless communication, network protocols, and players operating in the license-free spectrum.
Telematics: The branch of information technology which deals with the long-distance transmission of computerized information such as from tractor to cloud to the computer.
Further Reading
https://ag.purdue.edu/digitalag/precision-agriculture-dealer-survey.html
https://www.ers.usda.gov/publications/pub-details/?pubid=105893
https://www.sdstate.edu/news/2023/10/precision-agriculture-and-profitability-sdsu-researchers-seek-understand-farmers