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Artificial Intelligence for Environment & Sustainability (ARIES) is an international non-profit research project hosted by the Basque Centre for Climate Change (BC3) headquartered in Bilbao, Spain. [1] It was created to integrate scientific computational models for environmental sustainability assessment and policy-making, [2] [3] [4] through ...
Digital agriculture encompasses a wide range of technologies, most of which have multiple applications along the agricultural value chain. These technologies include, but are not limited to: Cloud computing/big data analysis tools [21] Artificial intelligence; Machine learning; Distributed ledger technologies, including blockchain and smart ...
In agriculture, data mining utilizes data science techniques to analyze large volumes of agricultural data. Recent technological advancements, such as drones, and satellite imagery, have enabled the collection of extensive data on soil health, weather patterns, crop growth, and pest activity. This data is analyzed to improve agricultural ...
The environmental impact of artificial intelligence includes substantial energy consumption for training and using deep learning models, and the related carbon footprint and water usage. [1] Some scientists have suggested that artificial intelligence (AI) may also provide solutions to environmental problems.
A farm that can "produce perpetually", yet has negative effects on environmental quality elsewhere is not sustainable agriculture. An example of a case in which a global view may be warranted is the application of fertilizer or manure , which can improve the productivity of a farm but can pollute nearby rivers and coastal waters ...
A tractor is defined as a powerful motor-driven vehicle with large, heavy treads, used for pulling farm machinery and other vehicles. [6] Most commonly, the term is used to describe a farm vehicle that provides the power and traction to mechanize agricultural tasks. Precision agriculture was a major shift in technology that occurred in the ...
Climate-smart agriculture (CSA) (or climate resilient agriculture) is a set of farming methods that has three main objectives with regards to climate change. [ 1 ] [ 2 ] Firstly, they use adaptation methods to respond to the effects of climate change on agriculture (this also builds resilience to climate change ).
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.