Advancements in Precision Agriculture: A Review of IoT and Machine Learning Applications

The integration of Internet of Things (IoT) and machine learning (ML) in precision agriculture has revolutionized the way farming is done. This review article provides an overview of the current state of IoT and ML applications in precision agriculture, highlighting their potential to improve crop yields, reduce waste, and promote sustainability. We discuss the use of IoT sensors, drones, and other technologies in farming systems, as well as the application of ML algorithms for data analysis and decision-making.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-20
DOI
https://doi.org/10.5281/zenodo.15703974
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Advancements in Precision Agriculture: A Review of IoT and Machine Learning Applications

Zenodo (CERN European Organization for Nuclear Research)
Smart Agriculture and AI
article

Advancements in Precision Agriculture: A Review of IoT and Machine Learning Applications

article en

Abstract

The integration of Internet of Things (IoT) and machine learning (ML) in precision agriculture has revolutionized the way farming is done. This review article provides an overview of the current state of IoT and ML applications in precision agriculture, highlighting their potential to improve crop yields, reduce waste, and promote sustainability. We discuss the use of IoT sensors, drones, and other technologies in farming systems, as well as the application of ML algorithms for data analysis and decision-making.

Zenodo (CERN European Organization for Nuclear Research)
Zero hunger
Openalex Percentile: Top 68%
Smart Agriculture and AI
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Advancements in Precision Agriculture: A Review of IoT and Machine Learning Applications · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS