GIS AND AGRICULTURAL MACHINERY SYNERGY IN PRECISION FARMING: CHALLENGES, BENEFITS, AND PROSPECTS

This review examines the integration of geographic information systems (GIS) with agricultural machinery in the context of precision agriculture. It discusses the implications of this integration and demonstrates how GIS technology improves and enhances data collection, analysis, and decision-making processes in agriculture. The benefits outlined include improved resource management, increased crop yields, and improved sustainability practices. However, the paper also addresses the challenges of integrating GIS and agricultural machinery, such as high costs, technical complexity, and the need for qualified personnel. Finally, it outlines the prospects for the development of this integration. The potential of advances in technology and data analysis to further optimize agricultural practices is highlighted, focusing on the challenges, risks, and functional implications

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-20
DOI
https://doi.org/10.5281/zenodo.15470149
Primary Topic
Suicide and Self-Harm Studies
Type
article
Field-Weighted Citation Impact
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article

GIS AND AGRICULTURAL MACHINERY SYNERGY IN PRECISION FARMING: CHALLENGES, BENEFITS, AND PROSPECTS

Zenodo (CERN European Organization for Nuclear Research)
Suicide and Self-Harm Studies
article

GIS AND AGRICULTURAL MACHINERY SYNERGY IN PRECISION FARMING: CHALLENGES, BENEFITS, AND PROSPECTS

article en

Abstract

This review examines the integration of geographic information systems (GIS) with agricultural machinery in the context of precision agriculture. It discusses the implications of this integration and demonstrates how GIS technology improves and enhances data collection, analysis, and decision-making processes in agriculture. The benefits outlined include improved resource management, increased crop yields, and improved sustainability practices. However, the paper also addresses the challenges of integrating GIS and agricultural machinery, such as high costs, technical complexity, and the need for qualified personnel. Finally, it outlines the prospects for the development of this integration. The potential of advances in technology and data analysis to further optimize agricultural practices is highlighted, focusing on the challenges, risks, and functional implications

Zenodo (CERN European Organization for Nuclear Research)
The Federal Polytechnic, Ado-Ekiti (NG)
Zero hunger
Openalex Percentile: Top 43%
Suicide and Self-Harm Studies
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