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As a result, the excessive use of pesticides is causing adverse financial, environmental, and social impacts on farmers. Data mining within the cotton industry, using pest scouting data along with meteorological recordings, shows how pesticide use can be optimized. Clustering of data revealed patterns in farming practices and pesticide use ...
The E-agriculture in Action series of publications, by FAO-ITU, that provides guidance on emerging technologies and how it could be used to address some of the challenges in agriculture through documenting case studies. E-agriculture in Action: Big Data for Agriculture [22] E-agriculture in Action: Blockchain for Agriculture [23]
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 ...
Precision agriculture (PA) is a management strategy that gathers, processes and analyzes temporal, spatial and individual plant and animal data and combines it with other information to support management decisions according to estimated variability for improved resource use efficiency, productivity, quality, profitability and sustainability of ...
Allen Institute for Artificial Intelligence [141] SemOpenAlex: Multidisciplinary SemOpenAlex extends the capabilities of OpenAlex by providing semantic representations of scholarly metadata. It integrates knowledge graph-based features to enhance the discovery of research trends, collaborations, and literature interconnections across all ...
Generative artificial intelligence (generative AI, GenAI, [166] or GAI) is a subset of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data. [ 167 ] [ 168 ] [ 169 ] These models learn the underlying patterns and structures of their training data and use them to produce new data [ 170 ...
CIGR publishes a journal, the Agricultural Engineering International: CIGR Journal. In 2021, the journal had an impact factor of 0.484. [6] It has a SCImago Journal Rank of 0.191 as of 2023. This rank placed it in the third quartile in the "Industrial and Manufacturing Engineering" and "Automotive Engineering" categories and the fourth quartile ...
By leveraging AI's skills in areas such as resource optimization, crop health monitoring, and yield prediction, farmers might greatly advance toward more environmentally friendly agricultural practices. Artificial intelligence (AI) mobile soil analysis enables farmers to enhance soil fertility while decreasing their ecological footprint.