Work

Harnessing Data-Driven Technologies for Sustainable Farming Practices

Year: 2024

Type: article

Abstract: Remote sensing (RS) and machine learning (ML) are driving significant changes in agriculture [...]

Source: Agronomy

DOI: 10.3390/agronomy14122969

Authors: Sergio Vélez, Sara Álvarez

Institutions: Fraunhofer Institute for Solar Energy Systems, Instituto Tecnológico Agrario de Castilla y León

Language: English

Topic: Remote Sensing in Agriculture

Subfield: Ecology

Field: Environmental Science

Domain: Physical Sciences

SDG: Zero hunger

Open Access status: gold

Estimated APC paid: $2,955

Funders: European Commission, Agencia Estatal de Investigación, H2020 Marie Skłodowska-Curie Actions

Awards: G3480869486, G434337789, G5080475149, ENERGY FOR FUTURE, ENERGY FOR FUTURE, G7084143925, G7358480839

OpenAlex ID: W4405373942

FWCI: 0.816

Cites: 22

Cited by: 3

Related to: 10