Search results
Results from the WOW.Com Content Network
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 ...
Artificial intelligence is used in astronomy to analyze increasing amounts of available data [160] [161] and applications, mainly for "classification, regression, clustering, forecasting, generation, discovery, and the development of new scientific insights" for example for discovering exoplanets, forecasting solar activity, and distinguishing ...
False-color images demonstrate remote sensing applications in precision farming. [1] Yara N-Sensor ALS mounted on a tractor's canopy – a system that records light reflection of crops, calculates fertilisation recommendations and then varies the amount of fertilizer spread Precision Agriculture NDVI 4 cm / pixel GSD
Farmers can use AI to design and build smart agricultural systems tailored for disease management and minimize the impact of disasters on agricultural systems. Agricultural workers can use AI ...
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 ...
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.
Agriculture encompasses crop and livestock production, aquaculture, and forestry for food and non-food products. [1] Agriculture was a key factor in the rise of sedentary human civilization, whereby farming of domesticated species created food surpluses that enabled people to live in the cities.
Some useful resources for learning about e-agriculture in practice are the World Bank's e-sourcebook ICT in agriculture – connecting smallholder farmers to knowledge, networks and institutions (2011), [2] ICT uses for inclusive value chains (2013), [3] ICT uses for inclusive value chains (2013) [4] and Success stories on information and ...