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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 ]
The Decision Support System for Agrotechnology Transfer (DSSAT) is a set of computer programs for simulating agricultural crop growth. [1] It has been used in over 100 countries by agronomists for evaluating farming methods. [2] [3] One application has been assessing the possible impacts on agriculture of climate change and testing adaptation ...
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]
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.
The use of AI in applications such as online trading and decision-making has changed major economic theories. [65] For example, AI-based buying and selling platforms estimate personalized demand and supply curves, thus enabling individualized pricing. AI systems reduce information asymmetry in the market and thus make markets more efficient. [66]
Just as 2024 was the year AI went from an experiment to a mainstream business enabler, 2025 will be the year it begins to revolutionize the industrial sector at scale.
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.
In sustainable agriculture, ABM assesses how farmers decide on crop selection, land use, and the adoption of sustainable practices. Urban planning benefits from ABM by traffic simulation and pedestrian patterns to potentially optimize public transportation systems, reduce carbon emissions, and improve urban life quality.