Opportunities and challenges of artificial intelligence in agriculture: Some brief reflections

In recent years, agriculture sector has suffered significant transformation driven by the development of emerging technologies that form the basis approach known as Agriculture 4.0 (Alam et al., 2023).This new agricultural revolution is characterized by the integration of advanced technologies, such as the Internet of Things (IoT), robotics, Big Data, programming and computing, cloud computing, artificial intelligence (AI), among others (Erazo-Mesa et al., 2022).In this context, AI plays a crucial role by enabling the integration of these tools to efficiently analyze large volumes of data generated from traditional monitoring methods, proximal and remote sensors, and various platforms for plants, climate, soil, pest populations, and beneficial organism phenotyping.

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Publication Details

Journal
Agronomía Colombiana
Published
2024-08-31
DOI
https://doi.org/10.15446/agron.colomb.v42n2.117686
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Opportunities and challenges of artificial intelligence in agriculture: Some brief reflections

Joaquín Guillermo Ramírez‐Gil
Agronomía Colombiana
Smart Agriculture and AI
article

Opportunities and challenges of artificial intelligence in agriculture: Some brief reflections

Joaquín Guillermo Ramírez‐Gil
article en

Abstract

In recent years, agriculture sector has suffered significant transformation driven by the development of emerging technologies that form the basis approach known as Agriculture 4.0 (Alam et al., 2023).This new agricultural revolution is characterized by the integration of advanced technologies, such as the Internet of Things (IoT), robotics, Big Data, programming and computing, cloud computing, artificial intelligence (AI), among others (Erazo-Mesa et al., 2022).In this context, AI plays a crucial role by enabling the integration of these tools to efficiently analyze large volumes of data generated from traditional monitoring methods, proximal and remote sensors, and various platforms for plants, climate, soil, pest populations, and beneficial organism phenotyping.

Agronomía ColombianaVol. 42(2)
National Agrarian University (NI)
Openalex Percentile: Top 85%
Smart Agriculture and AI
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