Precision Agriculture and Food Security

By R. Gebbers, Viacheslav I. Adamchuk. Science, 2010

1,362 citations recorded by the source corpus.

Precision agriculture comprises a set of technologies that combines sensors, information systems, enhanced machinery, and informed management to optimize production by accounting for variability and uncertainties within agricultural systems. Adapting production inputs site-specifically within a field and individually for each animal allows better use of resources to maintain the quality of the environment while improving the sustainability of the food supply. Precision agriculture provides a means to monitor the food production chain and manage both the quantity and quality of agricultural produce.

Subfields: Environmental Engineering, Plant Science

View Paper: https://www.semanticscholar.org/paper/2e09243ca57bc5af34c49f45c7f71d69d9f6f44e

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In Environmental Engineering

In Plant Science

Citations in the corpus

Machine Learning Applications for Precision Agriculture: A Comprehensive Review (2021, background): “ensure food security for the entire world [3].”
Applications of Remote Sensing in Precision Agriculture: A Review (2020, background): “In addition to crop production, PA has been used in viticulture, horticulture, pasture, and livestock production and management [18,22].”
Solving Current Limitations of Deep Learning Based Approaches for Plant Disease Detection (2019, background): “Precision agriculture uses the latest technology to optimize the decision-making process [3].”
Generation of Spectral–Temporal Response Surfaces by Combining Multispectral Satellite and Hyperspectral UAV Imagery for Precision Agriculture Applications (2015, background): “Precision agriculture requires detailed information regarding temporal and spatial variations in crop conditions, which can be obtained through remote sensing [1].”