Affiliation:
1. Aider Association / Romania
2. National University of Science and Technology “POLITEHNICA” Bucharest / Romania
3. National Institute for Research-Development of Machines and Installations Designed for Agriculture and Food Industry - INMA Bucharest/ Romania
Abstract
All sizes of farms can benefit from satellite imagery, not only big producers. When paired with artificial intelligence (AI) and deep machine learning techniques, satellite photography becomes an effective tool for monitoring agricultural conditions and anticipating issues in the field. As a result, using satellite photos to guide crop farming choices can help determine when to apply nutrients and irrigation. This paper focuses on monitoring through satellite sensors with an emphasis on the facilities offered by the European Copernicus Program through Sentinel-2 satellites the crops from a farm from Calarasi County, Borcea commune.
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